Scientist jobs in Washington - 1,719 jobs

Founding Research Scientist - Generative Video 📍 Seattle, WA (Onsite, 5 days/week) | 💼 Full-time About the Founders Founded by a collective of PhD researchers from leading global universities (Apple, Stanford & Oxford PhD Alumni) with backgrounds at top AI labs and major technology companies, combining deep theoretical insight with proven large-scale product execution. About the Company Our client is a stealth-mode AI startup creating breakthrough technology at the intersection of perception, learning, and expression. The team's mission is to build intelligent systems that can observe and interpret subtle human cues - visual, vocal, and behavioral - to enable natural, emotionally aware digital interaction. They're developing foundational models that unify multiple input streams to make communication between humans and machines feel effortless and authentic. Role Overview This position is ideal for a scientist who thrives at the boundary of research and product impact. As the Founding Research Scientist for Generative Video, you'll lead experimentation on advanced video generation methods, designing architectures that model motion, timing, and realism at scale. You'll have freedom to explore new diffusion-based approaches, define metrics for visual fidelity and consistency, and bring early-stage research into practical real-time applications. Key Responsibilities Design and implement generative video models that synthesize realistic movement, depth, and texture. Develop scalable pipelines for dataset creation, model training, and system evaluation. Explore diffusion, transformer, and temporal modeling techniques to enhance continuity and expression. Partner with engineers and scientists across modalities (speech, text, vision) to integrate outputs into unified frameworks. Evaluate model behavior, benchmark performance, and publish findings where appropriate. Transition promising prototypes into production-ready, low-latency systems. Required Background PhD or comparable experience in Machine Learning, Computer Vision, or Graphics. Proven expertise in video or 3D generative modeling, preferably using diffusion or transformer architectures. Strong applied experience with PyTorch, JAX, or similar toolkits. Understanding of data curation, distributed training, and large-scale evaluation. Publications, patents, or open-source contributions demonstrating research excellence. Self-directed mindset with enthusiasm for rapid iteration and open-ended discovery. What Makes This Unique Early technical ownership in shaping the research roadmap of a deep-tech organization. Opportunity to work on high-impact, unexplored problems in real-time generative media. Close collaboration with a multidisciplinary team of machine learning, vision, and graphics experts. Competitive compensation, strong equity participation, and top-tier backing from investors in applied AI.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About the job you're considering We are seeking a passionate and innovative GenAI Engineer/Data Scientist to join our team. This role involves developing GEN AI solutions and predictive AI models, deploying them in production environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI-driven insights. Your Role Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment. Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation. Develop generative and predictive AI models (including NLP, computer vision, etc.). Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions. Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions. Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency. Deploy AI models into production environments, ensuring scalability, performance, and optimization. Monitor and troubleshoot deployed models and pipelines for optimal performance. Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses). Required Qualifications: Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience. Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role. Experience in model deployment, MLOps, model monitoring, and managing data/model drift. Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion). Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Ca Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Ca Life and disability insurance Employee assistance pro Other benefits as provided by local policy and eligib

WHO WE ARE We're Talking Rain Beverage Company, we create better-for-you beverages featuring great flavors and colors from natural sources. We live life in full flavor and believe the world should too. We create connections with every sip of our iconic Sparkling Ice, Sparkling Ice Caffeine, Sparkling Ice Energy, Popwell and MIXT. When it comes to success, we know we're only as strong as our team. That's why we're an equal-opportunity employer. We value diversity and practice inclusivity, hiring great people who enhance our company. Our Rain Makers are our most important asset. That's why we invest in them with benefits and development opportunities that reflect just how much we value them. Our Research & Development team is proud of where we've been, but more interested in where we're going. This team drives creativity, growing our portfolio of products. Here, you will apply your sensory expertise to lead consumer sensory testing, guide product development, and translate insights into opportunities for exceptional product experiences. Reports to: Manager, Research & Development Direct Reports: N/A Location: Onsite at our Preston, WA office 5 days a week *While we strive to offer flexibility, this role also requires it. There may be times when you're expected to come onsite outside your typical in-office days to support special projects, team events, or other business needs. Annual Bonus Potential: 7% - Eligibility is based on the company hitting annual financial targets. Base Salary: $98,000 - $121,000 (depending on experience) Note: New hires typically receive between minimum and midpoint, however, we may go slightly higher based on experience, internal equity and market. Design, execute, and analyze all internal and external sensory tests to support product development. Independently create standardized reports, develop clear written recommendations, presentations, graphs, and visualizations to communicate insights to guide cross-functional decision-making. Establish, train, and maintain internal sensory panels, ensuring consistency, reliability, and alignment with testing objectives. Deliver training to internal and external teams as needed. Demonstrate strong initiative and prioritization skills, with effective time management, organization, and problem-solving abilities. Maintain an organized internal sensory lab, supporting daily operations, efficiency, and ensuring compliance with food safety and quality standards. Establish cross-functional partnerships to define sensory program objectives, align on deliverables, and support product development goals. Manage relationships with external partners and consultants to support sensory goals. Lead the assessment and implementation of new sensory research methods to enhance capabilities, drive efficiency, and improve business performance. Help identify and screen emerging technologies that enable improved sensory experiences and support innovation. Ensure food safety, quality, and SQF practices are always followed, notifying immediate manager of any food safety and/or quality issues. Complete other responsibilities as assigned. We create connections with every sip. And we've found a lot of value in in-person connections! As a young, fast-growing company, we're still creating and refining the systems that will fuel our future growth. Onsite presence is beyond collaboration, and here is why onsite presence matters: Supports ad hoc and rapid-turn testing - Being onsite allows flexibility to conduct unplanned tests and provide real-time sensory input as new formulations or adjustments arise. Enables immediate cross-functional collaboration - Proximity to R&D, QA, and Operations teams allows for quick alignment and faster iteration on product improvements. Drives innovation through real-time observation - Hands-on evaluation and face-to-face collaboration spark new insights and more agile decision-making during development. WHAT YOU BRING Bachelor's degree in Food Science, Sensory Science, or related field required; Master's degree preferred. Equivalent experience considered. 4+ years of food sensory experience, including applied statistics and testing methodologies. 2+ years in product development preferred, ideally in the beverage industry. Strong organizational, communication and problem-solving skills. Working knowledge of food science principles, sensory methodologies, food manufacturing Ability to work independently, collaborate with stakeholders, manage multiple priorities, and build cross-functional relationships. Please note, this role is safety sensitive. This means that as part of your core responsibilities you will be regularly responsible for your own safety and/or the safety of others (e.g., driving on behalf of the company, working in a warehouse/plant environment). Rain Makers are people who are accountable, curious, and inclusive. We hold ourselves accountable and recognize room for growth while openly accepting feedback. We embrace change to deliver progressive results. Rain Makers don't wait for answers - we go find them. Curiosity is part of what makes us so successful. Sometimes we push back, productively challenging the status quo. We promote inclusivity . Valuing communication and respect, ensuring everyone has a seat at the table. We are an approachable bunch, building and fostering relationships with people of all backgrounds. WHAT WE OFFER Nothing makes a great job even better than throwing in a few perks! All regular, full-time Rain Makers are equipped with everything they need to maintain their health and well-being. That means things like... Three Weeks of Vacation per calendar year. And that's just to start! Spend some time with us, and you'll accrue an additional week every few years, depending on your exempt status! FMLA qualifying Rain Makers receive six weeks of paid parental leave. Parents get to spend time at home bonding with their new addition (whether it arrives by birth, fostering, or adoption). For birth mothers, additional time is provided for medical leave. Depending on the state in which you reside, additional time may also be available for parents who do not require medical leave. Flexibility Stipend. For eligible Rain Makers, spend this extra monthly stipend as you wish, but know it's intended to contribute to things like your phone, internet or other business uses while working remotely or needs outside of normal working hours. Relocation: Relocation Available (when available) Onsite and Hybrid Rain Makers: Get paid to carpool! Drive to work with another Rain Maker every week at least 2X a week and receive mileage reimbursement. 401k with Immediate Vesting. With matched contributions and investment customization, we'll help build a plan to reach your goals. Fitness Reimbursements. We're all about going the extra mile, so we provide reimbursements for community events and competitions like fun runs, triathlons, and cycling tours. Rain Makers may also enjoy access to our on-site gym in Preston complete with a personal trainer 2 days per week. Medical/Dental/Vision. Not only do we offer it, but our plans are excellent and flexible to your needs. And one is even free for our Rain Makers! Vehicle Program - Field Sales Specialist - Mileage is reimbursed at the IRS rate Field Sales Managers and Market Managers - Company car or vehicle stipend included! Regional Sales Managers and Sales Directors - We use the leader in vehicle reimbursement solutions, Motus. This program provides a monthly fixed and variable rate that adheres to IRS guidelines for the business use of personal vehicles. Please note, eligibility for our full benefits package is based on an average of 30+ hours per week in regular (not temporary) positions. Want to get to know us better? Click to learn about us and our careers. You can also follow us on LinkedIn, Glassdoor, Instagram, and Facebook.

Job DescriptionAbout us Today's financial system is built to favor those with money. Grid's mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that's deeply passionate about making a difference in the lives of millions. We're solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office! The role We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business-as well as our users' happiness and success. Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more. The team We're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice. The tech stack Our backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.What you'll do Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc. Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at Grid What we're looking for: Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science. Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models. Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields. Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential. Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products. Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it. Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest). Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence. Domain Knowledge: Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products. BenefitsMedicalDentalVision 401K Life Insurance Salary Range$120,000 - $200,000 per year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! About the Role The impact you'll be contributing to Moloco: The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system. Here's what you'll be working on: Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently. Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects. Complete task as part of larger projects to complete deep unbiased analyses. Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers. Basic Qualifications: Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems At least 4 years of engineering or applied science experience Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range:$140,400-$180,400 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: AI Scientist - Modern AI Applications 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations. Key Responsibilities Research & Innovation Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows. Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text. Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding. Healthcare-Focused AI Development Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on Agentic and Generative AI within project teams. Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models. Or PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models. Experience in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Preferred Skills Multi-modal AI research experience (text, image, structured data). Knowledge graph integration and symbolic reasoning expertise. Proven ability to take AI research from concept to production. Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Familiarity with cloud platforms (AWS) and MLOps practices. Work location: US Remote Travel: May include up to 10% domestic Relocation Assistance: Is not authorized Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $163,200 - $224,400, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here. Before submitting your application you will be asked to confirm your agreement with the terms.

Keeping Washington Clean and Evergreen This recruitment is open only to current Department of Ecology employees, including those on temporary or project assignments, and Ecology's Washington Conservation Corps members. The Department of Ecology is hiring a Coastal Scientist (Environmental Specialist 2) (Internal Only) within the Shorelands & Environmental Assistance Program. This is a project position that is funded until June 30, 2027. Location: * Headquarters Office in Lacey, WA. * Upon hire, you must live within a commutable distance from the duty station. Schedule: * This position is eligible for telework and flexible schedule options. * The incumbent must report to Headquarters Office in Lacey, WA once a week when they're not occupied by fieldwork * Schedules are dependent upon position needs and are subject to change. Application Timeline: * Apply by January 27th, 2026 * This position will remain open until filled. The agency reserves the right to make a hire at any time after application review begins. Applications received after the date above may not be considered. As part of the Applied Coastal Research and Engineering (ACRE) team, you will play a key role in protecting Washington's marine shorelines. This position offers a balance of advanced technical analysis and hands-on fieldwork, where you will use geospatial data and scientific surveys to help the state make informed decisions about coastal management and restoration. What you will do: * Analyze Coastal Data: You will use specialized software and tools like lidar, sonar, and aerial imagery to map and analyze coastal features and sediment samples. * Lead Field Operations: You will conduct topographic surveys and environmental data collection in coastal areas, providing leadership to field crews and maintaining essential equipment. * Develop Geospatial Solutions: You will manage spatial datasets and conduct statistical analyses using Python, MATLAB, or GIS to create maps for public use and online display. * Modernize Workflows: You will update data processing protocols and standard operating procedures to ensure mapping methods remain efficient and accurate. * Perform Quality Assurance: You will quantify the accuracy of third-party data and develop new analyses to assess uncertainty in mapping products. * Support Shoreline Strategy: You will prepare scientific reports and graphics to communicate your findings to management, helping to guide permitting and funding strategies. For detailed information on how we calculate experience, please visit our Recruitment website. Required Qualifications: Five years of experience and/or education as described below: Experience: professional level experience performing environmental-based work Experience must include demonstrated competence in the following skill sets: * Ability to collect, process, and manage environmental or scientific data using established methods and protocols. * Skill in applying quantitative or geospatial analysis tools (e.g., GIS, scripting or analytical software) to support predefined analyses and studies. * Ability to work with existing datasets, models, or scripts to generate outputs under guidance from senior staff. * Skill in documenting methods, maintaining data quality, and following QA/QC procedures. Education involving a major study in in environmental, physical, or one of the natural sciences; environmental or natural science interdisciplinary studies; environmental planning, or an academic discipline related to the duties of the position Examples of how to qualify: * 5 years of experience. * 4 years of experience AND 30-59 semester or 45-89 quarter college credits. * 3 years of experience AND 60-89 semester or 90-134 quarter college credits (Associate's degree). * 2 years of experience AND 90-119 semester or 135-179 quarter college credits. * 1 year of experience AND a Bachelor's degree. * A Master's degree or above. Desired Qualifications: * Professional experience conducting shoreline and coastal feature mapping * Experience manipulating and interpreting photogrammetric data, topographic survey data, sediment data, aerial imagery, and other remote sensing datasets * Experience in operation and maintenance of ATVs for beach surveys * Experience troubleshooting field GNSS survey systems. * Experience creating vector datasets, creating and managing domains, and maintaining metadata * Performing geospatial analyses in ArcGIS using Spatial Analyst, 3D Analyst, Raster Analysis, and other toolboxes * Producing static and web-based cartographic products If you are excited about this role but not sure if your experience aligns perfectly with every qualification in the job description, we encourage you to apply. Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At the Department of Ecology, we are dedicated to building a diverse and authentic workplace centered in belonging. You may just be the needed candidate for this or other roles. Ecology does not use the E-Verify system; therefore, we are not eligible to extend STEM Optional Practical Training (OPT). For more information, please visit ************** Our Commitment to DEIR Diversity, Equity, Inclusion, and Respect (DEIR) are core values central to Ecology's work. We strive to be a workplace where we are esteemed for sharing our authentic identities, while advancing our individual professional goals and collaborating to protect, preserve, and enhance the environment for current and future generations. We believe that DEIR is both a goal and an action. We are on a journey, honoring our shared humanity and taking steps to demonstrate our commitment to a vision where each of us is heard, seen, and valued. Application Process Ecology seeks diverse applicants: We view diversity, equity, inclusion, and respect through a broad lens including race, ethnicity, class, age, religion, sexual orientation, gender identity, immigration status, military background, language, education, life experience, physical disability, neurodiversity, and intersectional identities. Qualified job seekers from all backgrounds are encouraged to apply. How to Apply Click "Apply" at the top of this page. Complete the entire application, including full work history and responses to all supplemental questions, and attach: * Cover letter, describing your interest in and qualifications for this position * Resume Because we base our selection on the information you provide, it is in your best interest to complete the application thoroughly. A resume will not substitute for the "work experience" section of the application or vice versa. Applications with blank fields or supplemental question responses with comments such as "see resume" may be considered incomplete. For detailed application information, please visit our Recruitment website. Application Attestation: By submitting an application, you are affirming that the information contained in your application and on all attachments is complete and truthful. The state may verify this information, and any false or misleading answers may result in rejection of your application or dismissal if employed. Need an Accommodation? If you need reasonable accommodation during the application and/or screening process, including this job announcement in an alternate format: * Please contact us at ************ or****************** * If you are deaf or hard of hearing, you may call through the Washington Relay Service by dialing 711 or **************. Questions? * For specific questions about the position location options, schedule, or duties, please contact Daniel Buscombe at ************************** * If you need assistance applying for this job, are inquiring about the status of your application, would like to request the full position description, or have any other questions, please contact the Recruitment Team at ****************** About the Shorelands and Environmental Assistance (SEA) Program The mission of the SEA Program is to create community conservation partnerships to protect and restore our shorelands, wetlands, and floodplains. About the Department of Ecology As the State of Washington's environmental protection agency, we are deeply committed to protecting, preserving, and enhancing Washington's environment for current and future generations. Joining Ecology means becoming part of a team dedicated to protecting and sustaining healthy land, air, water, and climate in harmony with a strong economy. A career in public service at Ecology allows you to help solve some of the most challenging problems facing our state, while keeping your health and financial security a priority. We combine one of the most competitive benefits packages in the nation with a strong commitment to life/work balance. We invest in our employees to create and sustain a working environment that encourages creative leadership, effective resource management, teamwork, professionalism, and accountability. Ecology employees may be eligible for the following: Medical/Dental/Vision for employee & dependent(s), Public Employees Retirement System (PERS), Vacation, Sick, and other Leave*, 11 Paid Holidays per year*, Public Service Loan Forgiveness, Tuition Waiver, Long Term Disability & Life Insurance, Deferred Compensation Programs, Dependent Care Assistance Program (DCAP), Flexible Spending Arrangement (FSA), Employee Assistance Program, Commute Trip Reduction Incentives (Download PDF reader), Combined Fund Drive, SmartHealth *Click here for more information To learn more about Ecology, please visit our website, explore Working at Ecology, check out our Strategic Plan, and connect with us on LinkedIn, Facebook, Instagram, YouTube, or our blog. Equal Opportunity Employer: The Washington State Department of Ecology is an equal opportunity employer. We strive to create a working environment that includes and respects cultural, racial, ethnic, sexual orientation and gender identity diversity. Women, racial and ethnic minorities, persons of disability, persons over 40 years of age, veterans, military spouses or people with military status, and people of all sexual orientations and gender identities are encouraged to apply. Collective Bargaining: This is a position covered by a bargaining unit for which the Washington Federation of State Employees (WFSE) is the exclusive representative. Note: This recruitment may be used to fill other positions of the same job classification across the agency. Once all the position(s) from the recruitment announcement are filled, the recruitment may only be used to fill additional open positions for the next sixty (60) days. #LI-DNI

Umoja Biopharma is a game-changing biotech start-up with locations in Seattle, WA and Louisville, CO, focused on transforming the treatment of cancer with a novel integrated immunotherapy platform. Our vision is to develop off-the-shelf therapies capable of treating any tumor, any time. We are a diverse and growing team working in brand-new facilities in downtown Seattle, Washington, and Louisville, Colorado, and we are looking for innovative thinkers who are excited by groundbreaking science and technology, and passionate about squaring up to the challenges inherent to cutting edge drug development. We are committed to the principles of Diversity Equity and Inclusion and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja as a leader in this front. We at Umoja believe in the importance of stories; we are looking for great people to join our team to help us create more stories for ourselves, for you, and most importantly for patients and their families. Umoja Biopharma - Your Body. Your Hope. Your Cure. POSITION SUMMARY Umoja is seeking a Scientist to join the Discovery Research team. This position will provide scientific technical leadership in delivering both routine IND-enabling studies, and studies exploring novel CAR T product concepts. This position entails initiating, designing, executing, analyzing, and communicating medium-sized projects consisting of several related experiments. A successful candidate will have experience with in vitro CAR-T assays (e.g. cell growth, cytokine production, cytotoxicity, and phenotypic analysis), and high-throughput screening methods that leverage genome editing (e.g. CRISPR). This is a fully onsite role based out of our Seattle, WA location. CORE ACCOUNTABILITIES Specific responsibilities include: Lead by demonstrating high standards for experiment design, execution, documentation, analysis, and communication. Solve moderately complex technical problems pertaining to product, experiment, and assay design. Perform experimental design, execution, data analysis, and reporting of results for IND-enabling studies. Design and implement novel screening campaigns to explore new product functionalities. Execute routine CAR T cell functional assays and assay development (MSD, flow cytometry, Incucyte ) as needed by the department. Author reports with clear and concise figures and messaging. Audit Benchling entries and perform data verification. Collaborate closely with adjacent departments. Proactively communicate activities, issues, and ideas to the team and serve as a subject matter expert on program teams as needed. Identify opportunities for product and assay improvements. Maintain familiarity with current scientific literature, maintain and update knowledge of CAR T biology, vector biology, and immunology. The successful candidate will have: PhD/MS/BS in Biological Science, Immunology or related discipline with at least 0+/8+/10+ years of relevant work experience respectively Expertise with platforms used for T cell analysis including the MSD, Incucyte, dPCR, and Attune/Aurora (or other flow cytometers). Experience with high-throughput screening methodologies. Extensive experience with experimental design, planning, execution, and basic data analysis Strong team communication and collaboration skills, along with self-motivation to contribute to the development of novel cancer immunotherapies Ability to balance multiple priorities in a fast-paced, cross-functional and dynamic environment Preferred Qualifications: Strong analytical capability Excels as both a team member and individual contributor Strong communication and organizational skills Experience with data analysis with JMP, R, and/or python Experience with INTEGRA pipetting equipment Experience working with electronic lab notebooks Experience with regulatory filings Physical Requirements: 100% compliance with personal protective equipment (PPE) requirements in biological laboratory environments for wet lab work, including gloves, protective clothing, and eye safety glasses. Perform physical tasks required for the role, including standing, walking, bending, kneeling, sitting, working your hands in a biosafety cabinet, and occasionally moving materials up to 50 pounds. Project-oriented work in this role will require regular on-site presence (5 days/week) to complete essential job-related functions. Salary Range: $123,250 - $152,250 Benefits Offerings Umoja Biopharma offers its employees competitive Medical, Dental, and Vision plans. Additionally, we offer Umojians access to a 401k plan through Fidelity, with a 100% match up to their first 4% deferral. Umoja also provides a generous Paid Time Off policy, employee commuter benefits, and cell phone stipend. For a full breakdown of our benefits offerings, please see the Benefits section of our website.

Who We Are: The Search and Recommendations Machine Learning (ML) team at Wayfair is at the forefront of designing and implementing algorithms that define our global search experience. Using cutting-edge machine learning approaches, including deep sequence models, embeddings and multi-modal technologies, we aim to deliver a personalized and compelling experience for over 22 million active customers. Our mission is to make the user experience intuitive and efficient, helping customers discover exactly what they need in a vast and diverse product catalog. What You'll Do: * Elevate recommendation quality: Design and implement scalable machine learning models to improve the ranking, and personalization of product recommendations across Wayfair * Develop robust retrieval systems: Build and optimize candidate generation pipelines that surface high-quality, personalized product recommendations at scale. * Leverage user and product signals: Apply deep learning and representation learning to model user preferences, product attributes, and contextual signals for better recommendation performance. * Innovate with cutting-edge techniques: Explore sequence modeling, embeddings, and multi-modal modeling to drive the next generation of recommender systems. * Collaborate cross-functionally: Partner with product managers, engineers, and data scientists to align recommendation strategies with business objectives and user needs. * Tackle recommendation-specific challenges: Solve key issues such as the cold-start problem, data sparsity, product compatibility and seasonality in dynamic environments. * Advance the ML community at Wayfair: Contribute to internal knowledge sharing, author technical documentation, and represent Wayfair at top ML conferences like NeurIPS and RecSys. Who You Are: * Bachelor's or advanced degree (Master's, PhD) in Computer Science, Machine Learning, Mathematics, Statistics, or related field. * 4+ years of industry experience as an ML engineer, applied scientist, or research scientist, with a proven track record of delivering ML projects autonomously and driving measurable business impact, particularly in recommendations, search, or ranking. * Expertise in recommendation systems, including candidate generation, ranking algorithms, and user-item modeling. * Deep understanding of collaborative filtering, sequence modeling, and embedding-based personalization. * Experience with end-to-end project ownership, including collaboration with business partners and strong written and verbal communication skills. * Strong proficiency in Python and/or Java for building and deploying ML-driven recommendation systems. * Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker. Why You'll Love Wayfair: * Time Off: * Paid Holidays * Paid Time Off (PTO) * Health & Wellness: * Full Health Benefits (Medical, Dental, Vision, HSA/FSA) * Life Insurance * DIsability Protection (Short Term & Long Term DIsability) * Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships) * Mental Health Support (Global Mental Health, Global Wayhealthy Recordings) * Caregiver Services * Financial Growth & Security: * 401K Matching (Employee Matching Program) * Tuition Reimbursement * Financial Health Education (Knowledge of Financial Education - KOFE) * Tax Advantaged Accounts * Family Support: * Family Planning Support * Parental Leave * Global Surrogacy & Adoption Policy * Professional Development & Recognition: * Rewards & Recognition * Global Employee Anniversary Awards * Paid Volunteer Work * Unique Perks: * Employee Discount * U.S. Bluebikes Membership * Global Pod Outings * Work/Life Balance: * Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments If you don't meet every qualification listed, we still encourage you to apply. We're looking for strong team players who can learn, grow, and make an impact. This is a hybrid position located in Seattle, WA. The team is in-office Tuesday-Thursday and remote on Monday and Friday. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. Need Technical Assistance? For more information about applying for a career at wayfair, visit our FAQ page here. About Wayfair Inc. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.

Ecologist / Wetland Scientist Full-time exempt Professional Kirkland, Kirkland, WA, US Salary Range: $95,000 To $135,000 (USD) Annually PACE Engineers is a Pacific Northwest engineering firm providing civil and structural engineering, planning, surveying, and construction management services from offices in Washington and Oregon. With 135 employee-owners, we are recognized for our expertise, passion, and commitment to clients and communities. Collaboration is central to our culture, enabling us to leverage the creativity and dedication of our teams across all locations, while maintaining a people-first approach that makes PACE both a strong partner and a vibrant community. We are currently seeking an Ecologist/Wetland Scientist for our growing Environmental team. This role is results-driven and aligned with the organization's strategic goals, requiring initiative, a competitive mindset, and the ability to stay focused during change. It demands quick decision-making, innovation, and a strong sense of urgency. The ideal candidate is confident, self-assured, and capable of inspiring others while maintaining a firm, goal-oriented leadership style. Excellent communication, adaptability, and delegation skills are essential, as is the ability to learn quickly and manage multiple priorities. Ultimately, success in this position is measured by achieving fast, high-quality results through motivation and accountability, rather than rigid adherence to process. WHAT YOU'LL BE DOING Lead and oversee critical area and wetland delineations in accordance with U.S. Army Corps of Engineers (USACE) guidelines and regional supplements. Manage all phases of environmental projects including proposal development, budgeting, fieldwork, regulatory coordination, reporting, and client communication. Prepare and review high-quality technical documents such as wetland delineation reports, critical area reports, jurisdictional determinations, mitigation plans, HPA, and Section 404/401 permit applications. Serve as a primary liaison with federal, state, and local agencies on environmental permitting and compliance matters. Guide the development and implementation of wetland restoration, mitigation, and monitoring plans. Supervise, mentor, and provide technical guidance to junior and mid-level staff. Utilize GIS and data management tools to support project planning and analysis. Ensure all project work meets regulatory requirements, internal standards, and client expectations. Stay current on evolving environmental regulations, guidance, and best practices. QUALIFICATIONS: Bachelor's or Master's degree in Environmental Science, Ecology, Biology, Natural Resources, or a related field. Minimum of 7-10 years of professional experience in wetland science, environmental consulting, or natural resource management. In-depth knowledge of federal and state wetland regulations, including Clean Water Act Section 404/401 permitting. Demonstrated experience managing complex environmental projects and multidisciplinary teams. Proficiency in conducting wetland delineations, functional assessments, and habitat evaluations. Strong technical writing and verbal communication skills; ability to present complex concepts clearly to clients and regulators. Experience completing complex mitigation and bank-use plans. Proficient in GIS mapping, GPS field tools, and environmental data analysis. Valid driver's license and willingness to travel for fieldwork and client meetings. PREFERRED QUALIFICATIONS: Professional Wetland Scientist (PWS) certification or eligibility. Experience in client development, proposal writing, and strategic project planning. Familiarity with NEPA, ESA, and other environmental compliance frameworks. Expertise in wetland mitigation banking, ecosystem restoration, or long-term monitoring programs. Experience in regulatory negotiation and agency coordination. Regional Experience BENEFITS SNAPSHOT Hybrid work model & flexible scheduling 401(k) & ESOP (Employee Stock Ownership Plan) Medical, dental, vision, HSA/FSA Paid time off, holidays, and wellness programs Short & long-term disability, life, and AD&D insurance Culture that supports belonging, equity, and inclusion PACE is an Equal Opportunity Employer and values diversity in the workplace. We encourage all qualified applicants to apply.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! We are looking for a self-motivated, passionate and resourceful Applied Scientist with Recommender System or Search Ranking or Ads Ranking experience to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities - Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. About the team Prime Video Recommendation/Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production. - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

We are committed to building the core architecture for Artificial General Intelligence (AGI) systems that match or surpass human-level capabilities. As a key contributor to our core R&D team, you will help develop large-scale models with multimodal perception, autonomous learning, and reasoning abilities, driving their generalization to real-world applications. Our goal is to design a native multimodal system-capable of understanding and generating across vision, speech, and text-while interacting deeply with the environment to catalyze the transition from AGI to ASI (Artificial Super Intelligence). Responsibilities: Design unified large model architectures with integrated capabilities in multimodal perception, reasoning, memory, and generation (across vision/audio/text). Build systems that support continual learning, hierarchical memory, autonomous exploration, and self-evolution. Advance the development of agent-based systems with autonomous task planning, cross-modal interaction, tool usage, and self-improvement capabilities. Contribute deeply to the design of core components such as general representation learning, synchronized audio-visual modeling, world models, and sparse modeling. Key Research Areas: Multimodal Unified Architecture: Native co-frequency modeling and cross-modal reasoning across vision, speech, and language. Continual Learning & Memory Mechanisms: Architectures that separate long-term memory from the core model to enable memory recall and task transfer. World Modeling & Causal Reasoning: Enabling models to predict environmental states, plan behaviors, and update cognitive structures dynamically. Sparse & Modular Architectures: Scalable, efficient, and interpretable ultra-large sparse model design. Self-Evolution & Active Data Generation: Mechanisms for self-growth through reinforcement learning, self-supervision, and environment interaction. Cross-Modal Understanding & Generation: Strengthening joint generation and decision-making capabilities in real-world physical environments. Intelligent Agent Capability Transfer: Systematic enhancement of task generalization and tool-composition skills. Who We Look For Requirements: Expertise in Transformer-based architectures and their applications in language and multimodal domains. Hands-on experience in building or optimizing billion-scale models; familiar with training paradigms such as SFT (Supervised Fine-tuning), RLHF (Reinforcement Learning with Human Feedback), and self-supervised learning. Preferred qualifications include deep understanding or practical experience in one or more of the following areas: Multimodal models (e.g., vision-language models, audio-video models) Reinforcement learning and autonomous agent systems Complex reasoning and planning (e.g., search + LLMs, world modeling) Sparse modeling and dynamic routing mechanisms Strong engineering and system thinking capabilities, with the ability to translate cutting-edge research into production-level AGI model systems. Publications in top-tier conferences/journals such as NeurIPS, ICLR, CVPR, ACL, etc., are highly desirable. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $134,900.00 to $253,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

The Translational Pathology Biomarker Testing Laboratory (TPBTL) within our client's Translational Sciences organization is seeking a highly motivated, multidisciplinary, scientist, to assist with the development, implementation, and execution of biomarker testing for drug programs that have progressed to early phase clinical development. This position will primarily support immunohistochemistry (IHC) and in situ hybridization (ISH) assay development and clinical testing in our CLIA-certified, CAP-accredited laboratory. This includes performing and documenting standardized experiments and assisting with specimen accessioning, testing, imaging, data analysis, quality control, report writing, and other tasks, as needed. In addition, this position will be responsible for general laboratory operational tasks such as maintaining laboratory equipment, ordering, and inventory management. The scientist will work in a dynamic, cross functional team that includes pathologists, program managers, clinical technicians, data management, quality, regulatory, and management. Candidate must possess a commitment to excellence and quality for patients. Principal Responsibilities * Immunohistochemistry (IHC) and in situ hybridization (ISH) assay development, and validation. Experience in multiplexing and/or fluorescent IHC, a plus. * Daily use of microscopes and imaging systems including commercial image analysis software packages. * With guidance as needed, independently plan and execute laboratory experiments, collect data, and communicate and present results to internal teams. * In-depth hands-on experience in other molecular and genetic techniques and technologies is a plus. * Maintains current and broad knowledge in Molecular & Cellular Biology, Cancer Biology, and Pathology. * Collect, analyze, and synthesize data into presentations, posters, and reports. * Assist in writing, following, and maintaining Standard Operating Procedures. * Works in a regulated environment associated with maintaining a high performing CLIA-certified, CAP-accredited laboratory. * Responsible for ordering and maintaining reagents and supplies, instrument maintenance, and general lab duties. * Maintains a great team culture, participates in department initiatives, and seeks career development opportunities. Additional Skills & Qualifications Required Qualifications * B.S. and 23-5 years of laboratory experience; M.S. and 0-2 years in a biological science related field. * Experience working in a laboratory setting. * Ability to follow and execute standard operating procedures. * Excellent written/oral communication skills. * Strong interpersonal skills and the ability to work in a multi-disciplinary team environment. Preferred Qualifications * Experience with molecular biology and/or histology techniques. * Experience working in a regulated clinical laboratory, CLIA and/or CAP environment is strongly preferred. * Knowledge in cancer biology, immunology, or histopathology. * Use of microscopes, imaging systems, image analysis software. * Experience in multiplexing and/or fluorescent IHC, a plus. * Assay development using automated platforms. * Data management, data analysis, and statistical software packages. Job Type & Location This is a Contract position based out of Bothell, WA. Pay and Benefits The pay range for this position is $42.00 - $52.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Bothell,WA. Application Deadline This position is anticipated to close on Feb 11, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

Jubilant HollisterStier LLC, a well-established member of the business community in Spokane, Washington, provides a complete range of services to support the pharmaceutical and biopharmaceutical industries. The Allergy business is a worldwide leader in the manufacture of allergenic extracts, targeted primarily at treating allergies and asthma. Jubiant HollisterStier is also a nationally recognized contract manufacturer of sterile injectable vials, and lyophilized products. Jubilant HollisterStier is a proud member of the Jubilant Pharma family. Our Promise: Caring, Sharing, Growing We will, with the utmost care for the environment and society, continue to enhance value for our customers and stakeholders by providing innovative products and economically efficient solutions' through growth, cost effectiveness and wise investment of resources. Job Description: The EM Compliance Scientist II is responsible for the qualification, repair, maintenance and compliance of laboratory instruments and software. * Perform preventative maintenance and qualification activities on laboratory instrumentation as directed. * Implement appropriate computer operating system permissions to laboratory equipment workstations in order to comply with regulatory requirements. * Diagnose laboratory equipment issues and perform the necessary maintenance to return equipment to a compliant functionality. Assist in other forms of troubleshooting as directed by the Supervisor. * Prepare acceptance reports for laboratory equipment. * Complete core training per procedures. * Adhere to the pertinent aspects of plant safety programs and in keeping with GMP's or other regulations. * Maintain and operate laboratory equipment to assure accuracy and confidence in performance. * Perform computer systems backup as required and ensure data integrity is maintained. * Create new procedures as needed. * Participate in direct internal and/or external client interactions. * Perform special assignments as directed by Supervisor. * Coordinate and lead group projects related to laboratory compliance and equipment. Qualifications: * Associates Degree of Science with minimum 2 years of experience required * Bachelor's Degree of Science Major(s): Chemistry, Biology, or related hard science desired * 2 to 4 years related experience required * Pharmaceutical and FDA Regulated Industry Experience desired * Laboratory Experience (3 years) desired * Proficiency in troubleshooting instruments and/or a mechanical aptitude desired * Proficiency with Microsoft Operating systems as well as general understanding of software and database configuration desired * Experience with data visualization software/coding languages desired * Specific Coursework: Any emphasis in computer related systems desired * Microsoft Word and Microsoft Excel experience required * Mechanical Aptitude required * Manual Dexterity required * Knowledge, practical application, and understanding of analytical instrumentation is necessary to perform the functions of this position. The incumbent must have an ability to utilize scientific and or technical literature, and to make effective written and oral reports that are clear, accurate, and logical. A working knowledge of chemistry, statistics, computer-assisted data processing, and good-manufacturing practices is desirable. Must demonstrate initiative and a willingness to learn. * Ability to lift 25 pounds unassisted required * Exposure to Allergens required * Repetitive Activity, prolonged sitting and standing required Shift: Weekday Days Compensation & Benefits: This is an on-site, full-time position located in Spokane, WA. * Hiring Wage: $ 30.99- $41.93/hr. depending on experience, with opportunity for growth, promotion and annual raises. Midpoint and above is reserved for employees who have longevity with Jubilant HollisterStier and consistently exhibit outstanding performance over a period of time in the role * Role follows the ABU holiday schedule * Medical, Dental, Vision, Flexible Spending and Health Savings Accounts * Life, AD&D, Short and Long Term Disability * 401(k) with company match * Generous paid time off plan * Employee Assistance Program Unlock your potential with Jubilant HollisterStier! If you're seeking a dynamic and rewarding career, we welcome your application today! ******************************** * Please click on the Spokane, Wa. Link* Jubilant HollisterStier is an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you require assistance applying for a position, please contact our HR Department at: ******************************

Niantic's Machine Learning Team seeks a Machine Learning Scientist to join our AI/ML team. This role focuses on crafting and implementing machine learning-powered features for our geo-location-based mobile games. You will collaborate closely with product managers, game designers, engineers, and data scientists to craft intelligent game mechanics that respond to player behavior, contextual environments, and geospatial signals. This is a high-impact, hands-on role ideal for candidates passionate about applying ML to mobile games and real-world data challenges. Niantic is a leading mobile game developer known for groundbreaking real-world mobile gaming experiences. Our mission is to use new technologies to enrich the human experience and encourage exploration of the world around us. Titles like Pokémon GO, Pikmin Bloom, and Monster Hunter Now are just the beginning. We're looking for curious, creative, and purposeful minds to join us on our journey. Responsibilities Craft and develop machine learning models that drive intelligent gameplay features, such as multifaceted content placement, player clustering, and geo-contextual personalization. Leverage real-world data (geospatial, temporal, behavioral) to advise in-game decision-making and adapt to player environments in real time. Partner with product and design teams to translate gameplay ideas into ML-powered systems. Collaborate with data science and data engineering teams to optimize data pipelines for machine learning use cases. Collaborate with product and data science teams to perform thorough experimentation, A/B testing, and model evaluation to measure product impact and feature efficiency. Contribute to the design of ML infrastructure, tools, and workflows that support the lifecycle of models in production. Required in-office 2 days on Tuesday and Wednesday. Qualifications M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related technical field. 2+ years of experience developing ML systems in a production environment. Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar. Experience with applied ML techniques such as supervised learning, clustering, or deep learning. Strong analytical and problem-solving skills with a product mentality. Ability to communicate technical concepts clearly to multi-functional teams. Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice. Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others. Plus If... Experience building ML features for mobile games or interactive applications. Experience with modern data processing frameworks, e.g. Apache Beam or Apache Spark. Exposure to active learning methodologies, recommendation systems and real-time model inference. Experience with Cloud native model development environments, e.g. GCP or AWS. Experience with common machine learning development tools or frameworks, e.g. Jupyter Notebooks, MLflow or Kubeflow. Familiarity with geo-contextual modeling, map-based data, and temporal-spatial modeling techniques. Solid understanding of geospatial data and location-based modeling challenges. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range$158,200-$185,000 USDAbout Us Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," “Star Trek™ Fleet Command,” “Stumble Guys,” “MARVEL Strike Force,” and “Yahtzee With Buddies,” among others. Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer™ experience across multiple platforms--from mobile, web, PC and beyond. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry. Recognized multiple times as one of Fast Company's “World's Most Innovative Companies,” Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents. Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy. For more information on Scopely, visit: scopely.com Notice to candidates: Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment. All official Scopely, Inc. recruiters only use email domains that end with @scopely.com. Our official website is **************** Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact **********************. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors. What You'll Do * Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs. * Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities. * Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions. * Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields Required Qualifications * Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 1+ years professional experience. * Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio. * Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques. * Experience with post-training techniques such as fine-tuning, alignment or distillation. * Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters. * Excellent communication skills and a strong great teammate What You'll Bring * Experience on large-scale generative model training * Experience on synthetic data generation * Experience of working with large-scale datasets * Experience of working with product teams on technology transfers #FireflyGenAI Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $183,300 - $265,350 In Washington, the pay range for this position is $165,600 - $239,725 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

DEPT OF AGRICULTURE The Mission of our Agency is to protect the health and safety of Arizona consumers, advance and support Arizona agriculture, and safeguard commerce. Supporting farming, ranching and agribusiness in Arizona by protecting plants and animals, issuing agriculture and environmental licenses, inspecting farming practices and overseeing commerce standards and measurement devices. Assistant Entomologist Job Location: Address: Office of Plant Services / Entomology Department 1110 W. Washington Street, #450, Phoenix AZ 85007 Posting Details: Salary: 27.14 - 27.14 Grade: 20 Closing Date: 02/05/2026 Job Summary: The Arizona Department of Agriculture is currently recruiting for an Assistant Entomologist (Public Health Scientist) for the Office of Plant Services. The duty post for this position is located at 1110 W. Washington Avenue, Phoenix, Arizona. The Department of Agriculture's, Plant Services Section, safeguards agriculture, food and the environment from the risks associated with the entry, establishment and spread of plant pests, diseases and noxious weeds thereby promoting agricultural sustainability, market access and competitiveness. Using state-of-the-art technical equipment, including performance graphics-enabled computers, high resolution digital cameras, compound and dissection microscopes, and complex scientific literature, the position of Assistant Entomologist is primarily responsible for the correct determination of insect and other arthropod samples submitted to the Entomology Section from the division's survey, inspection, and regulatory branches. Another important focus of the position is to work with the Entomologist and advise the division's Associate Director on scientific matters as they pertain to pest biology and economic impact. Additionally, the position is charged with assisting in maintaining both a digital and printed reference library as well as assisting in the development and maintenance of digital and actual pest reference collection and training materials needed for comparative determinations. Job Duties: Job duties to include but limited to: • Correct and timely screening, identification, and risk assessment of samples submitted to the section from the division's survey, inspection, and regulatory branches. These analyses and determinations are integral to EPSD's ability to safeguard the state's agriculture and horticultural industries, food production, and the environment from the establishment and spread of harmful plant pests, while promoting agricultural sustainability and market access in a national and global context. • Assist in developing pest ID training materials for the division's regulatory inspectors so they can carry out their assigned duties more effectively. • Research and study technical scientific reports regarding pest biology and the agricultural impact looking into emerging potential emerging pest pressures. • Assist the Entomologist in the development of outreach material for stakeholders, customers, and the general public to be used on the agencies expanding social media and public representation. • Driving a State vehicle as needed to carry out assigned duties including inspection and survey projects, training programs, and participation in regional conferences and seminars. • Other duties as assigned. Knowledge, Skills & Abilities (KSAs): KNOWLEDGE OF: Knowledge of science and scientific procedures, entomology, invertebrate systematics, biology, and evolution; invertebrate pest epidemiology; advanced microscope, computer, and digital imaging systems; of Federal and State regulations and quarantines, principles and practices. SKILLS IN: Skills in verbal and written communication and report production; developing and using advanced computer databases, spreadsheets, and other office and/or scientifically related software and hardware; effective instructional techniques and procedures; in preparing samples for analysis; operating, maintaining, and calibrating specialized microscope and digital imaging systems; in efficient workload organization. ABILITY TO: Ability to establish and maintain an effective and productive working relationship with co-workers and management in a team setting; to research, organize and analyze and then interpret scientific research as it relates to regulatory entomology. Drive state vehicle. Selective Preference(s): A combination of experience, knowledge and skills relating to invertebrate taxonomy, laboratory skills, chemical safety and plant pathology. Pre-Employment Requirements: Arizona Driver's License B.S in a Biological field If this position requires driving or the use of a vehicle as an essential function of the job to conduct State business, then the following requirements apply: Driver's License Requirements. All newly hired State employees are subject to and must successfully complete the Electronic Employment Eligibility Verification Program (E-Verify). Benefits: The Arizona Department of Agriculture offers a comprehensive benefits package to include: Sick leave Vacation with 10 paid holidays per year Paid Parental Leave-Up to 12 weeks per year paid leave for newborn or newly-placed foster/adopted child (pilot program). Health and dental insurance Retirement plan Life insurance and long-term disability insurance Optional employee benefits include short-term disability insurance, deferred compensation plans, and supplemental life insurance Learn more about the Paid Parental Leave pilot program here. For a complete list of benefits provided by The State of Arizona, please visit our benefits page Retirement: Positions in this classification participate in the Arizona State Retirement System (ASRS). ASRS is a mandatory condition of employment for all employees who meet the eligibility and membership criteria defined in statue. Current contribution rate is 12.00%. Enrollment eligibility will become effective after 27 weeks of employment. Contact Us: If you have any questions please feel free to contact Melissa Meek at ************** for assistance. The State of Arizona is an Equal Opportunity/Reasonable Accommodation Employer.

About the Role We're looking for an experienced Staff / Senior Staff Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers. What You'll Need Strong software engineering and coding skills in Python, with experience contributing to production codebases 9+ years of experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field Solid foundation in statistics and experimental design Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly Nice to Have Familiarity with Pyspark and distributed data processing Background in search, recommendation systems, or personalization Experience working with large language models (LLMs) or vision-language models (VLMs) A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data What You'll Do Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models Build interpretable ML models that can help us explain pricing decisions to customers Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.) Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems Improve the feature engineering and model training pipelines that power our production systems Rethink our risk and optimization models using real-world data and domain insight We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack. Compensation The base pay range for this position is $238,400 - $327,800 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty. The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. IHME has an excellent opportunity for a Temporary Research Scientist to join the Reproductive, Genitourinary and Digestive (RGUD) disease estimation team. IHME Research Scientists analyze and produce key estimates for their assigned research team, contribute to research design and training, and lead and/or mentor junior staff. We are looking for someone ready to advance in their career in global health research. You will assess all available relevant quantitative data, including individual-level and aggregated data from surveys, vital registration, censuses, cohort studies, registries, administrative records, government reports, and published scientific literature. You will lead the development and execution of analytic strategies, determining which strategies to test and how best to deploy statistical methods and coding techniques necessary for producing estimates, with emphasis on the long-term and intergenerational impacts of sexually transmitted infections (excluding HIV). You will be responsible for presenting results for internal critique, incorporating necessary feedback into updates and running models to formulate high-quality final deliverables. You will also lead the development of manuscripts, reports, presentations, and similar outputs. You will be integrally involved in producing, critiquing, improving, and disseminating results. You are someone who is capable of keeping your team on track to meet deadlines and research objectives. You already have a publication record, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering, and technical advances and are able to translate these into your research. This position is contingent upon project funding. Responsibilities: Exhibit command of the team's research areas, including the methodology and its components. Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders. Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses. Develop and implement new computational and statistical methods. Write, test, and maintain code in Python or R, with a willingness to learn and adapt to additional programming languages as needed. Maintain, modify, and execute analytic machinery that generates results. Assist in drafting presentations and manuscripts, and contribute to the preparation of funding proposals. Lead and co-author scientific publications in peer-reviewed journals. Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. May lead and/or mentor junior staff. Contribute ideas and content for internal and external training materials to enhance understanding and effective use of IHME tools and data. May participate in teaching established trainings. Contribute to research design. Other duties as assigned that fall within reasonable scope of research team. Minimum Requirements: Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' related experience. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Additional Requirements: Demonstrated understanding of the common measurement methods and study designs employed in analytic observational epidemiology, their biases and limitations, and available approaches to adjust measurements to support valid causal inference. Growing peer network where sought out as having solid command of engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings. Excellent analytic, critical thinking, and quantitative skills. Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key. Experience devising and executing statistical modeling techniques. Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code. Ease in designing, executing, and troubleshooting code in R or Python. Excellent written and oral communication skills required, including track record of success in coauthorship on multiple scientific papers, presenting results, and representing research at meetings. Demonstrated ability to contribute to and sustain collaborations with external research teams. Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work. Experience with meta-regression, preferably using Burden of Proof or other published methodology employed to estimate causal relationships from diverse datasources. Ability to work both independently and in collaboration with a team. A long-term interest in a research scientist position contributing to the overall mission of our research. Desired Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred. Experience with machine learning, data mining, and analytic techniques. Experience mentoring and developing junior employees on soft and technical skills. Experience with project management methods. Peer-reviewed publication record. Conditions of Employment: Weekend and evening work sometimes required. This position is open to anyone authorized to work in the US. Working internationally is only allowed for IHME sponsored work that requires in -country participation. Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor. A COVER LETTER IS REQUIRED IN APPLYING FOR THIS POSITION. Please in your cover letter: Provide three professional references, including name, position, company, email and phone as well the name and contact information for your current supervisor, including email. If you are not currently employed, please provide the name and contact information for your most recent supervisor, including email. Compensation, Benefits and Position Details Pay Range Minimum: $105,816.00 annual Pay Range Maximum: $128,316.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit **************************************************************************************** Shift: First Shift (United States of America) Temporary or Regular? This is a temporary position FTE (Full-Time Equivalent): 100.00% Union/Bargaining Unit: SEIU Local 925 - IHME About the UW Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. Our Commitment The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81. To request disability accommodation in the application process, contact the Disability Services Office at ************ or **********. Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.