Senior scientist jobs in Washington - 1,055 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.

External Job Opportunity TitleScientist Number40828 CompanyCentral Plateau Cleanup Comp City/StateRichland, WA Posted01/15/2026 Closes01/29/2026 Regular/TemporaryRegular Full/Part-TimeFull-Time Job Duties/Scope Of Work WORK SAFE, MAKE A DIFFERENCE, AND BE A PART OF HISTORY WITH THE CPCCO TEAM! At Central Plateau Cleanup Company (CPCCo), located in Richland, Washington, we are working to provide a sustainable future for the historic Hanford area through the protection of the Columbia River and the remediation of the Central Plateau. To achieve our mission, we need exceptionally talented, innovative, and driven people to help us reduce risks on the Hanford Site by removing some of the most hazardous waste streams and facilities in the Department of Energy (DOE) complex. If you would like to work with a highly skilled workforce to achieve unique and challenging goals that critically impact our environment and community, this is your chance to be a part of our legacy! In D4 End States (D4ES), the Waste Technical Specialist will be responsible to provide input to address characterizing, packaging, transporting, and disposing of waste stream to be generated in support of deactivation, decontamination, dismantlement, and demolition (D4) activities. The primary duty of this position is to be a knowledgeable Waste Characterization Specialist and apply appropriate regulations and standards to implement strategies to compliantly characterize facilities and waste sites to support generation and final disposition of waste streams in the form of discrete waste items/equipment, soil/vegetation, and demolition debris, as applicable. Responsibilities of an D4ES Waste Disposition Specialist (Scientist) will involve supporting the project by: * Maintaining compliance with applicable environmental laws, regulations, directives, and other binding requirements that affect environmental aspects. * Performing all work safely and in compliance with environmental obligations using the core functions and core elements of the Integrated Safety Management System/Environmental Management System (ISMS/EMS). * Participating in work planning, hazard identification and control, work performance within the controls including feedback and continuous improvement and stop work responsibility. * Ensuring compliance with applicable standards including regulatory requirements and DOE Order 435.1, "Radioactive Waste Management". * Assisting with waste characterization, using process knowledge or sampling and analysis, to support waste determination and compliance with applicable regulatory requirements. * Performing radiological/chemical characterization evaluations/calculations and documenting in reports to quantify radioactive/chemical material contamination in and among facility items/debris and structures. * Supporting sampling and analytical methods determinations devised to fill data gaps and characterize various waste streams. Basic Qualifications * Grade 16 - Bachelor's degree in an engineering or scientific discipline**with 2 or more years of relevant experience * Grade 17 - Bachelor's degree in an engineering or scientific discipline with 4 or more years of relevant experience The higher posted level has greater scope, complexity, authority, impact. The level offered to the selected candidate will be based on the needs of the company and the candidate's education, training, and/or experience Desired Qualifications * Experience with MS Office software * Understanding of regulatory and safety requirements associated with the nuclear field * Ability to wear a respirator * Proven communication prowess (both written and oral) * Strong interpersonal skills * Ability and willingness to work with diverse staff members and work teams * Experience with radiological and/or chemical characterization, sampling, and inventory development * Experience with environmental sampling software applications Compensation & Benefits In accordance with the CPCCo salary determination process, CPCCo takes into consideration the level of assigned job duties and responsibilities, and the candidate's education, training, and/or experience relative to internal peers and the external labor market. CPCCo will not solicit salary history for candidates. Expected annualized pay range based on full time schedule (40 hours per week): Grade 16: $78,450 - $125,250 Grade 17: $86,200 - $137,650 In addition to base pay, employees may be eligible for variable pay awards. CPCCo's generous benefits package offers medical/dental/vision insurance, life insurance, 401(k) employer match and paid time off. For a full list of benefits please see Careers A few benefits/perks you can anticipate, depending on the nature of your employment with CPCCo, include the following: - A standard 4-10's work schedule and a great community () that allows for long weekends and recharging on the Columbia River, on a golf course, at 200+ surrounding wineries, or at other Pacific Northwest destinations where fishing, hunting, snowboarding, hiking, and other outdoor sporting opportunities are in abundance. CPCCo is an Equal Employment Opportunity Employer. Relocation Funding ProvidedNo U.S. Citizenship RequiredYes Clearance RequiredNo Job ClassificationExempt Shift Work RequiredNo CPCCo is an Equal Employment Opportunity employer and abides by federal, state, and local statutory requirements, including CFR 41 60-1.4 - Equal Opportunity, CFR 41 60-300.5 - Veterans, CFR 41 60-741.5 - Disabilities, and Title VII of the Civil Rights Act of 1964. CPCCo provides equal employment opportunities to all employees and job applicants and prohibits discrimination without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, disability status, genetics, marital status, pregnancy status, protected veteran status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, training, and terms of employment. If you have a disability and would like to request an accommodation in accordance with the Americans with Disabilities Act Amendment Act (ADAAA) while applying for a position with CPCCo, please e-mail ^CPCCo_EEO. Note: Please do not use this contact information to inquire about the status of an application. If you have any difficulties while applying for a position, please send an email to ^CPCCo Human Resources. Applicants and employees have rights under Federal Employment Laws and are protected under federal law against discrimination. To view information regarding these rights, please click on these links: Know Your Rights: Workplace Discrimination is Illegal Pay Transparency Policy Statement Family Medical Leave Act Employee Polygraph Protection Act WA State Paid Family Medical Leave

Team Introduction Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. In today's content-driven commerce landscape, traditional collaborative filtering and supervised learning methods are no longer sufficient. We're actively exploring how large language models (LLMs) and generative AI can fundamentally transform the recommendation process: from retrieval to ranking, and from static listings to dynamic, generative user-item interactions. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities * Develop and deploy ML models to power personalized e-commerce recommendations * Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions * Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV * Focused on scaling, robustness, and production-quality deployment Minimum Qualifications: * Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. * Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch * Demonstrated ability to conduct rigorous research and analyze large-scale data * Strong problem-solving skills and a high sense of ownership Preferred Qualifications: * Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys) * Experience with recommendation systems, retrieval models, or multi-modal learning * Familiarity with building and deploying real-time, scalable ML systems in production * Background in e-commerce or related applied AI research domains By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Our team, part of Apple Services Engineering, is looking for an Applied Scientist to lead the design and continuous development of automated benchmarking methodologies for AI-powered code assistant tools. In this role, you will investigate how coding-focused LLM agents behave, create rigorous evaluation frameworks, and establish scientific standards for assessing their quality and reliability. This role is crafted to enable the development of scalable evaluation frameworks that ensure our engineers have the right tools to create products that surprise and delight our customers. The successful candidate will have a proactive approach with the ability to work independently and collaboratively on a wide range of projects. In this role, you will work alongside a small but impactful team, collaborating with ML and data scientists, software developers, project managers and other teams at Apple to understand requirements and translate them into scalable, reliable, and efficient evaluation frameworks. Publications in ML evaluation or related fields. Experience with automated testing frameworks. Experience constructing human-in-the-loop or multi-turn evaluation setups. Prior work on agentic developer tools. Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience. Strong research background in empirical evaluation, experimental design, or benchmarking. Strong proficiency in Python. Intermediate proficiency in Swift. Deep familiarity with software engineering workflows and developer tools. Experience working with or evaluating AI/ML models, preferably LLMs or program synthesis systems. Strong analytical and communication skills, including the ability to write clear reports.

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.

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugate therapies. Our pipeline includes varegacestat, a late-clinical stage GSI; IM-1021, a clinical-stage ROR1 ADC; and IM-3050, a FAP-targeted radiotherapy that recently received IND clearance. We are also advancing a broad portfolio of early stage ADCs pursuing undisclosed solid tumor targets. Position Overview The Senior Scientist, Drug Product Development will lead formulation and drug product (DP) development for our ADC pipeline. This individual will play a key role in establishing internal lab capabilities, executing formulation studies, developing lyophilization cycles, and partnering cross-functionally within CMC and Clinical teams. The ideal candidate will thrive in a fast-paced, startup environment and be comfortable balancing strategic planning with hands-on laboratory execution. Responsibilities * Lead formulation development for antibody and ADC drug products, including stability-indicating formulation screening and optimization for early and late stage products. * Design, develop (internally and/or externally), and tech-transfer drug product processes including lyophilization, for ADC drug products to ensure manufacturability, and scalability. * Support building internal formulation lab capabilities, including equipment selection. * Serve as the internal subject matter expert (SME) for DP formulation and lyophilization, guiding both internal scientists, as the team expands, and external CDMOs. * Collaborate closely with ADC DS Development, Analytical Development, QC and QA teams to ensure end-to-end alignment across CMC. * Author and review CMC documentation, including development reports, regulatory submissions (IND/IMPD/BLA), and technical transfer packages. * Evaluate and implement emerging technologies for ADC formulation and lyophilization to drive innovation and efficiency. * Mentor and develop junior scientists as the team expands. Qualifications * A minimum of industry experience in biologics or ADC formulation and lyophilized drug product development. * Proven expertise in lyophilization cycle development, characterization, and scale-up for biologics. * Experience with ADCs and establishing internal lab is preferred. * Strong hands-on experience in formulation screening, stability studies, and analytical data interpretation. * Demonstrated experience establishing or operating in an internal lab environment. * Excellent understanding of CMC principles and regulatory expectations for biologic and ADC drug products associated to the products' phase. Knowledge and Skills * Deep understanding of formulation principles for biologics and ADCs, including critical quality attributes (CQAs), thermal stability and compatibility considerations. * Proficiency in fill/finish and lyophilization process development, scale-up, optimization, tech-transfer and troubleshooting. * Strong analytical skills for interpreting data from formulation and stability studies. * Working knowledge of regulatory requirements for clinical and commercialization of sterile drug products, including application of Quality by Design principles * Excellent communication and collaboration skills to work cross-functionally and with external partners. * Ability to innovate and implement emerging technologies in drug product development. * Ability to manage multiple projects with tight deadlines and priorities. * Leadership skills to mentor junior scientists and/or manage projects effectively. Washington State Pay Range $155,896 - $192,334 USD E/E/O Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish). Create a Job Alert Interested in building your career at Immunome, Inc.? Get future opportunities sent straight to your email. Create alert

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! Key job responsibilities As Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), natural language processing (NLP), multimedia understanding and so on. You'll work on diverse projects that enhance Prime Video's recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include: • Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges. • Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization. • Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability. • Actively participate in publishing your research in leading conferences and journals. • You will shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership • Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives. About the team At Prime Video, we strive to deliver the best-in-class entertainment experiences across devices for millions of customers. Whether it's developing new personalization algorithms, improving video content discovery, or building robust media processing systems, our scientists and engineers tackle real-world challenges daily. You'll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged. - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 $129,400/year in our lowest geographic market up to $212,800/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.

JOB TITLE: Senior Scientist - Agricultural Formulations REPORTS TO: Chief Scientific Officer STATUS: Full time, Exempt SALARY RANGE: $130,000-$160,000/year based on experience & qualifications BENEFITS: Medical, dental, and vision insurance, optional FSA/HSA, 401k with 6% employer match, life and AD&D insurance, Employee Assistance Program, short & long term disability, tuition reimbursement, 21.67 days of paid time off + 10 holidays About Tidal Vision: We believe that sustainability should not require customers to compromise on price, convenience, or performance. Our mission is to create positive and systemic environmental impact by making our biopolymer solutions cost competitive, more convenient, and better performing than the synthetic chemicals we displace. We value innovation and take pride in challenging the status-quo; we choose to view obstacles as opportunities. We value new ideas and encourage the team to apply creativity and invent new solutions to meet challenging demands. We foster open, direct communication, and a collaborative working environment through our unique approach to work culture. We value our employees and demonstrate that through our compensation and benefits programs and opportunities for growth and development. About Tidal Visions Unique Work Culture: Tidal Vision strives to build and invest in the highest performing and most innovative team. We put our people and customers above process, avoid company-wide rules as much as possible, and have the courage to take unusual approaches to advance our mission. With this approach, we believe we can create a more flexible, fun, stimulating, creative, collaborative, and innovative organization. Our commitment to developing, practicing and promoting direct and open communication, responsibility and freedom, and leading with and seeking context is a responsibility for every role at Tidal Vision. JOB SUMMARY: The Senior Scientist will play a critical role in advancing Tidal Grow AgriScience`s Research & Development pipeline. This position requires deep expertise in agricultural sciences, product development, and technology scale-up, as well as the leadership skills to guide teams and collaborate across functions. The Senior Scientist will lead product concept initiation, improvement of existing products, research trial design and execution, and product life cycle assessments. This role blends scientific rigor with commercial awareness, translating cutting-edge research into practical, sustainable solutions that strengthen both grower outcomes and company growth. ESSENTIAL JOB FUNCTIONS: Lead innovation and product concept development, including improvements to existing product lines. Drive technology development, scale-up and translation from laboratory research to commercial application. Provide scientific and strategic recommendations to leadership, management, and stakeholders. Design, manage, and analyze field and greenhouse trials, delivering data-driven insights. Mentor and lead cross-functional R&D teams. Conduct product life cycle assessments from discovery through commercialization. Collaborate with regulatory, product development, and business teams to align science with market and customer needs. Apply computational R&D and advanced statistical analysis to optimize performance. Prepare and submit research proposals; represent Tidal Grow AgriScience with partners, institutions, and industry stakeholders. Utilizing your experience, you will provide input to the PD and CAS Teams regarding customer needs and ensure product and offer innovation matches the strategy for each account. Generally representing the mission, vision, and values of Tidal Grow AgriScience with customers and other stakeholders. BASIC QUALIFICATIONS: Masters degree or Ph.D. in Agricultural Science, Plant Science, Chemistry, Chemical Sciences, or a related field. Over 10 years of proven R&D experience in agriculture, fertilizers, pesticides, or related industries, with expertise in product development, technology scale-up, and computational R&D. Hands-on experience working with biopolymers, particularly chitosan, in developing agricultural inputs, coatings, and controlled-release formulations. Strong knowledge of ag industry products, applications, and regulations. Demonstrated leadership ability, with experience inspiring, mentoring, and motivating teams. Excellent communication, proposal writing, and relationship management skills. Proven track record of delivering scientific and commercial outcomes. PREFERRED QUALIFICATIONS: Deep understanding of crop production, regenerative practices, sustainability, and market trends. Strategic thinker with a data-driven approach to decision-making. Negotiation skills. Ability to work independently and prioritize effectively in a dynamic environment. Licensing & Special Requirements Incumbent is subject to a criminal background check. WORKING CONDITIONS & PHYSICAL REQUIREMENTS Position is based on-site in Bellingham, WA. Some travel may be required for research trials, conferences, or partner engagement. The employee is frequently required to stand, talk, hear, smell, visually inspect materials, walk, etc., and sometimes needs to lift and/or move up to 30 pounds while working around crop protection products. While performing the duties of this job, the employee is regularly required to use hands and fingers to handle, feel or operate objects, tools, or controls and reach with hands and arms. Tidal Vision provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned including work in other functional areas to cover absences or relief, to equalize peak work periods, or otherwise to balance the workload. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.

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.

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! 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 Initiates the design, development, execution and implementation of technology research projects. Investigates the feasibility of applying scientific principles and concepts to potential inventions and products. Plans and executes applied research. Maintains substantial knowledge of state-of-the-art principles and theories and may contribute to scientific literature and conferences. May participate in development of patent applications. May coordinate interdepartmental activities and research efforts. What You'll Do * Work towards long-term results-oriented research goals, while identifying intermediate achievements. * Contribute to research that can be applied to Adobe product development. * Help integrating novel research work into Adobe's product. * Lead and collaborate on research projects across different Adobe divisions What You Need to Succeed * PhD degree in machine learning, AI, computer science, statistics, or scene semantic understanding; or equivalent experience required with an expected graduation date of December 2026 - June 2027 * 0-1 + years of experience in specific skill/field(s) * Experience communicating research for public audiences of peers. * Experience working in teams. * Knowledge in a programming language. Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 **************. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. 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 $120,700 -- $238,600 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 $164,800 - $238,600 In Washington, the pay range for this position is $146,300 - $211,850 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 If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. 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 **************.

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.

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.

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.

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.Responsibilities 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, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

The Department of Psychiatry and Behavioral Sciences within the UW School of Medicine is the third largest clinical department within the School of Medicine with 330 full-time faculty members, 460 courtesy faculty members, and over 350 staff. Department faculty provide clinical services in 5 hospitals, 14 primary care locations, and several outpatient sites in addition to telepsychiatry consultations to more than 150 clinics in Washington and beyond. As the only academic psychiatry department serving the five state WWAMI region (Washington, Wyoming, Alaska, Montana, Idaho), the Department's highly competitive residency training program is largely responsible for developing the mental health workforce in the Pacific Northwest. The Department's robust research portfolio totals $67 million in grants and contracts per year for projects ranging from clinical neurosciences to treatment development to health policy and population health. The Department is recognized as an international leader in developing, testing, and implementing Collaborative Care, an integrated care model increasingly seen as a solution for population-based mental health care. Other areas of excellence include Addictions, Autism, High Risk Youth, Neurosciences, and Trauma, and the Department is developing innovative new programs in Technology and Mental Health, Global Mental Health, Maternal and Child Mental Health, and Targeted Intervention Development. Psychiatry is the third largest department in the School of Medicine and the largest non-divisioned department. The overall annual operations funding from all sources is over $130 million. The Department of Psychiatry & Behavioral Sciences within the UW School of Medicine currently has an outstanding opportunity for a Full-time , Temporary Research Scientist/Engineer 4. Seven Directions at the University of Washington is the first national public health institute in the United States to focus solely on improving Indigenous health and wellness. We are committed to cultivating and sharing knowledge, connecting communities and resources, and working to achieve shared goals for future generations. Seven Directions partners to support tribal communities to increase the capacity of tribal health systems designed to prevent and respond to the opioid overdose epidemic and address other health disparities, as well as conducting community-driven and community-designed health research. Our work includes culturally tailored technical assistance, community-engaged culture-centered research, evaluation, training, Indigenizing and decolonizing research, Indigenous data sovereignty, policy translation, convenings, and dissemination strategies. These services aim to improve Indigenous-serving organizations' and systems' data collection and epidemiologic surveillance capacity; increase implementation of evidence-based prevention strategies grounded in values respecting tribal sovereignty and cultural traditions; showcase models of tribal promising practices; utilize Indigenous evaluation approaches, and contribute to the Indigenous knowledge, Indigenous research methods and public health literature. This position (Pro Staff Temp Position (E S)) is in the field of public health research. The position will focus on better understanding and improving Indigenous public health and prevention in the areas of opioid overdose, substance use, and mental health using epidemiological and social science frameworks and data. The Research Scientist (RS) is a key member of the Seven Directions team, works alongside senior team members and guides junior team members in implementing a variety of research, evaluation and training activities, including contributing to project design, grant writing, implementation and management of multiple research projects, IRB submission and modification, data management and data analysis, manuscript development and dissemination, and technical assistance on data and implementation science. The RS will lead and provide collaborative support in deliverables related to overdose prevention Technical Assistance (TA), Indigenous evaluation, urban Indian pilot data analysis, data modernization and broad capacity building and system strengthening in partnership with Indigenous communities. The RS will be focused on updating our AI/AN substance use and mental health environmental scan (from 2019), Tribal Promising Practices (from 2020), Gathering Grounds peer-reviewed manuscript (from 2019) for dissemination, and drafting Seven Directions Indigenous TA models for both peer-reviewed journal and communities, and other related manuscripts. The RS will develop and update data governance policies and protocols as well as research operations protocols for Seven Direction materials. The RS will draft a scope of Indigenous evaluation training materials including peer reviewed literature sources and community data and research, interfacing with CDC partners and executing Indigenous evaluation training. The ideal candidate will bring doctoral level experience working in research, evaluation or training with AI/AN communities as well as an understanding of and humility toward AI/AN historical, contemporary, and cultural contexts. Responsibilities Research study design, grant preparation, data analysis and scientific writing/publication (40%) The RS will work with Seven Directions team to plan and design opioid, substance use, mental health, or other Indigenous culture-centered research or technical assistance projects related to Indigenous evaluation, Indigenous health and wellbeing and more. They will take a significant part in project design and operations, including designing project phases; conducting scientific and grey literature reviews, environmental scans; developing interview scripts, project protocols, quantitative surveys; writing grey and scientific manuscripts. In collaboration with other team members. they will analyze data, formulate conclusions, and present research results in publishable formats, including written documents, presentations, or online modules. They will work with PIs and faculty to identify external federal, state, local and private grant opportunities. Research and Project Management (30%) Lead and assist with project management activities, including developing and monitoring project timelines, ensuring work is successfully executed and completed within time frames to meet research objectives and communicate with diverse academic, practice and community partners. Develop research operations protocols and train staff in implementing the research activities. Develop technical assistance, training, workshop plans or training materials and participate in delivering or facilitating these interactions with partners. Lead project- related communications, logistics, and technical support. Engage in occasional travel to conferences and partner sites. Dissemination of Findings (20%) The RS will support the dissemination of findings to variety of audiences and in a variety of formats, including academic publications, online forums, webinars and virtual and in-person presentations. They will contribute to manuscript development and report writing. They will prepare meeting summaries, progress reports, study deliverables, journal articles and other written materials, and present study findings at meetings as needed. Administration and operations (10%) Work with PI and senior staff with auxiliary project management duties as requested and anticipate additional areas for support. Serve on 1-2 Seven Directions internal committees. Support developing Seven Directions TA model with Implementation Science. Support TA provision. Regularly update AIAN substance use, mental health and public health data for dissemination. Co-develop manuscripts on 7D TA models and implementation, Gathering Grounds principles v2.0, presentations abstracts and other dissemination materials for scientific and community gatherings. Update Environmental Scan. Oversee development and implementation and updating of all data governance policies and procedures. Minimum Requirements A Master's Degree in Public Health, Epidemiology, Psychology, Social Work, Sociology, Information School, American Indian Studies, or related fields, and a minimum of four years working in the field. 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 Familiarity with or work experience with Indigenous or other underserved populations and settings. Familiarity with issues affecting American Indian and Alaska Native Indigenous health, healing, cultural diversity and strengths. Familiarity with public health evaluation including Indigenous evaluation. Demonstrated fluency in Quantitative and/or Qualitative and/or Mixed Methods research methodology. Ability to design interview guides, conduct one-on-one interviews and facilitation of focus groups, organize and analyze and summarize qualitative data (interviews, stories etc.). Ability to develop survey instruments, collect, analyze, interpret and summarize quantitative data. Experience in community engagement or community based participatory research (CBPR). Knowledgeable about substance use and disorder in general and among AI/AN communities. Experience designing and implementing research studies, including identifying and appropriate research instruments and methodologies. Experience leading the successful publication of grey and scientific literature. Knowledge and experience with the grant writing process. Knowledge and prior experience with human subjects institutional review process. Baseline knowledge of appropriately indicated statistical design based on desired analysis. Familiarity with literature management software packages, e.g., EndNote, Zotero, etc. and qualitative software management and analysis software packages, e.g., Dedoose, Atlas.ti etc. Experience working closely as a trusted resource with communities to identify needs, define strategy, develop action plans, identify deliverables, present results, measure outcomes, and provide recommendations. Knowledgeable about public health communication best practices and effective communication for different populations. Experience developing and facilitating trainings for adult learners. Experience facilitating meetings and discussions for internal and external (i.e., community, funders) partners. Desired Qualifications A Doctoral Degree in Public Health, Epidemiology, Psychology, Social Work, Sociology, Information School, American Indian Studies, or related fields. Four or more years working in or on behalf of tribal nations and American Indian or Alaska Native (AI/AN) communities in both urban and rural settings. Advanced statistical analysis and program software knowledge. Knowledge or prior experience with mixed methods data collection and analysis. Familiarity with project management tools and/or software packages, e.g., MS Project, Smartsheet, etc. Indigenous research methods. Compensation, Benefits and Position Details Pay Range Minimum: $99,444.00 annual Pay Range Maximum: $164,328.00 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: Not Applicable 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.

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: $70,000 - $95,000 (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, and we want to equip our Rain Makers with everything they need to maintain their health and well-being. That means things like... Three Weeks of Vacation. 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 Employees: Get paid to carpool! Drive to work with another Rain Maker every week at least 2X a week and receive $0.25 per mile. 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. Employees 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.

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 USD About 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.

The application window is expected to close on: 01/16/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the Code Generation group, where we work on automating the code generation process using GenAI techniques. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience, designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration, all within a flexible, growth-oriented environment. Your Impact As a Staff Applied Scientist, you will: Design, build, and deploy advanced AI models for intelligent code generation, contributing across model architecture, experimentation, evaluation, and integration into production systems. Push the boundaries of agentic GenAI by developing models that not only generate code but also reason, plan, self-correct, and interact with tools, APIs, and execution environments to improve reliability and usability. Enhance code-generation capabilities for DSLs and structured languages, helping shape the next generation of developer experiences powered by LLMs in both interactive and automated workflows. Optimize training and inference workflows through efficient data pipelines, distributed training strategies, and model-level performance improvements to ensure low latency, high accuracy, and cost-effectiveness. Partner closely with engineering and product teams to ensure research outcomes are aligned with customer needs and translate into scalable, high-impact product features. Contribute to the scientific culture of the team, sharing best practices in rigorous experimentation, reproducibility, evaluation design, and documentation. Participate in long-term AI innovation by identifying emerging opportunities, proposing new directions, and shaping roadmap priorities in collaboration with research and engineering leaders. Minimum Qualifications PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field with 2+ years of industry or post-doctoral research experience; or a Master's degree with 6+ years of relevant applied ML or research experience. Demonstrated expertise in at least one of the following: Large language models for program synthesis, code understanding, or formal languages Multi-step planning or agentic AI for developer workflows Strong programming proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Experience translating research prototypes into production systems, including deployment, optimization, and performance evaluation. Working knowledge of experimental design, benchmarking, reproducibility, evaluation metrics, and scientific documentation. Preferred Qualifications LLMs for Code Generation - Experience training, fine-tuning, or adapting models such as Code-LLaMA, CodeT5, StarCoder, or GPT-based code models for program synthesis, bug fixing, refactoring, test generation, static/dynamic analysis, or domain-specific languages (DSLs). Domain-Specialized Modeling - Experience building models for structured languages such as SQL, DSLs, configuration languages, or proprietary query/automation languages. Agentic AI & Tool Use - Experience developing systems where models plan, call tools/APIs, self-correct, or execute code iteratively to improve output quality. Structured Reasoning & Planning - Familiarity with techniques such as chain-of-thought prompting, constrained decoding, self-debugging, or reinforcement learning for code-centric tasks. Large-Scale Training & Optimization - Experience with distributed training or inference optimization (quantization, LoRA, batching, caching) to improve latency, cost, and accuracy trade-offs. MLOps & Continuous Evaluation - Exposure to automated retraining, dataset versioning/curation, evaluation harnesses, and reliability monitoring for ML models in production. Research Visibility - Publications in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL, AAAI, KDD) and/or meaningful contributions to the LLM/code-gen research community (open-source, tools, datasets, or benchmarks). Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada:The starting salary range posted for this position is $193,800.00 to $245,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next Additional paid time away may be requested to deal with critical or emergency issues for family members Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: .75% of incentive target for each 1% of revenue attainment up to 50% of quota; 1.5% of incentive target for each 1% of attainment between 50% and 75%; 1% of incentive target for each 1% of attainment between 75% and 100%; and Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $212,300.00 - $317,100.00 Non-Metro New York state & Washington state: $193,800.00 - $282,100.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.