Senior principal scientist jobs in Everett, WA

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Machine Learning Scientist III Introduction to team The Traveler Business Team builds and drives growth for our global consumer businesses-Expedia, Hotels.com, and Vrbo. This division creates compelling and differentiated traveler value for each brand by setting the strategic vision, operating strategy, and plan. Responsibilities include investment allocation and prioritization, P&L accountability, and leading cross-functional teams across Expedia Group, who are all held accountable to a single scorecard. Success in this role is fueled by your innovative contributions to our automation products. You'll be instrumental in advancing machine learning methodologies to tackle complex business challenges. Your crucial skills include independently assessing model performance, crafting end-to-end solutions, and effectively communicating compelling rationales. Your proficiency in refining and optimizing practices, methodologies, and tools for the SEO team is pivotal for driving continuous improvement. In this role, you will: You will write code that is clean, maintainable, optimized, modular with good naming conventions and in a way that enables efficient and accurate translation into a data pipeline. You will work on advanced GenAI models (LLMs) to drive marketing content optimization, leveraging cutting-edge technology to enhance content relevance, improve engagement, and streamline processes for better business outcomes. You will apply an understanding of supervised and unsupervised machine learning theory. You will tackle business problems by applying fundamental machine learning models, algorithms and techniques using standard libraries. You will modify/adapt models and techniques to suit business needs. You will independently conduct proper model performance evaluation without help. You will build an end-to-end design of one step model based on detailed understanding of business requirements, including approach, choice of algorithm and data sources. You will seek relevant academic papers and experience to point out strengths and weaknesses of current models and recommend more sophisticated designs when needed. You will select valid approaches, appropriate in terms of level of effort, favoring iterative delivery that solves for the objective, not the ask (i.e., not just order-taking). Use advanced and sophisticated understanding of the business problem space to inform the design of the solution. You will communicate a compelling rationale and narrative to peers and partners. You will influence action and results through writing clearly in an accessible way for a wide audience. Anticipate questions, structuring presentations around a clear narrative, and is concise in what's included. Present clearly and engagingly. You will frame challenging business problems as a data science problem and concrete set of tasks. You will leverage others' skills, knowledge, and expertise effectively in problem solving and delivering impact. You will manage stakeholders with frequent communication, expectation management, meeting deadlines and minimizing surprises. You will manage the backlog well, including across large cross-functional teams. Deliver projects to maximize business impact coordinated with wider business timing. Experience and qualifications: Bachelor's or master's degree in a quantitative field such as mathematics, physics, engineering, operations research, data science or similar 6+ years of experience in industry or equivalent Strong proficiency with Python / R and SQL. Demonstrated ability to build and maintain multiple data science project/product in production environments. Extensive experience one or more of the following: advanced statistical techniques for A/B testing, methods for experimental design, observational causal inference, or quasi-experimental analysis Record of accomplishment for executing independent projects and leading complex, multi-functional projects with several dependencies. You understand the concepts and steps involved in working with real-world large data sets: from domain-specific problem understanding, data preparation, travel-related data processing, data integration, data structures for ML, data pipelining, data modeling, and AI/ML algorithms; strong data science knowledge and skills. You have working and/or theoretical knowledge on NLP and Transformers Advanced proficiency in GitHub for collaborative development and version control Proficient in cloud computing, specializing in big data applications and leveraging MLOps for streamlined machine learning model deployment. You have proven knowledge of ML techniques such as Neural Networks, XGBoost, Bayesian methods, clustering, decision trees, random forests, NLP, etc., excellent grasp of statistical concepts and methods. You have a passion for solving problems and finding patterns and insights within structured and unstructured data Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. The total cash range for this position in Seattle is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group™ Media Solutions, Expedia Local Expert , CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain ********************. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

About 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. $120,000 - $200,000 a year 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.

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted therapies designed to improve outcomes for cancer patients. 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 targeted cancer therapies, including antibody-drug conjugate therapies (ADCs). Our most advanced pipeline programs are varegacestat (formerly AL102), a gamma secretase inhibitor which is currently in a Phase 3 trial for treatment of desmoid tumors; IM-1021, a ROR1-targeted ADC which is currently in a Phase 1 trial; and IM-3050, a FAP-targeted radioligand, which recently received IND clearance. Our pipeline also includes IM-1617, IM-1335, and IM-1340, all of which are preclinical ADCs pursuing undisclosed targets with expression in multiple solid tumors. Position Overview The Scientist II, DMPK will contribute to the design and execution of nonclinical pharmacokinetics/ADME strategies to support oncology drug candidates from discovery through development. This role will partner closely with cross-functional teams to deliver high-quality data that informs decision-making and regulatory submissions. Reporting to the Executive Director, ADME, the Scientist II will work on multiple modalities, with a strong emphasis on ADC programs. Responsibilities Design and execute stage-appropriate DMPK/ADME studies to support candidate selection, clinical development, and regulatory submissions. Collaborate with cross-functional teams to ensure integration of DMPK considerations into program strategy and timelines. Analyze PK, TK, and PKPD data, perform modeling and simulation, and provide clear interpretation to inform program decisions. Participate in Translational Sciences and Development team activities, contributing scientific expertise in DMPK. Represent the ADME function at internal and external meetings, in collaboration with senior scientists, communicating timelines, data, and implications effectively. Maintain awareness of evolving best practices and regulatory expectations in DMPK sciences. Qualifications PhD in a relevant discipline with 0-2 years of industry experience in DMPK/ADME, or MS with 5+ years relevant industry experience. Experience with ADCs required; additional experience with small molecules, monoclonal antibodies, or other modalities preferred. Hands-on expertise in PK/TK analysis, PKPD modeling, and study design. Knowledge of both non-regulated and regulated bioanalysis. Skills & Competencies Strong problem-solving skills with the ability to manage multiple projects in a fast-paced environment. Excellent communication skills, with the ability to present complex scientific data clearly to diverse audiences. Collaborative approach with the ability to work across disciplines to achieve program goals. Washington State Pay Range $132,274 - $159,338 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).

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.

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 subscriptions such as Apple TV+, HBO Max, Peacock, 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 team member, 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 We are looking for passionate, hard-working, and talented individuals to help us push the envelope of content localization. We work on a broad array of research areas and applications, including but not limited to multimodal machine translation, speech synthesis, speech analysis, and asset quality assessment. Candidates should be prepared to help drive innovation in one or more areas of machine learning, audio processing, and natural language understanding. The ideal candidate would have experience in audio processing, natural language understanding and machine learning. Familiarity with machine translation, foundational models, and speech synthesis will be a plus. As an Applied Scientist, you should be a strong communicator, able to describe scientifically rigorous work to business stakeholders of varying levels of technical sophistication. You will closely partner with the solution development teams, and should be intensely curious about how the research is moving the needle for business. Strong inter-personal and mentoring skills to develop applied science talent in the team is another important requirement. - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

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.

Amazon Agentic AI is looking for world class scientists to join its newly created org focusing on agentic AI. This group is entrusted with developing core natural language processing, agents, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS Agentic AI, a generative AI-powered assistant for enterprise computing, and work with other acclaimed engineers and world famous scientists. As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs. You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. The Kuiper Global Capacity Planning team owns designing, implementing, and operating systems that support the planning, management, and optimization of Kuiper network resources worldwide. We are looking for a talented scientist to implement Kuiper's long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping Kuiper execute on its business plans globally. As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results. Key job responsibilities In this role, you will: Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization. Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources. Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network. Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other. Analyze large amounts of satellite and business data to identify simulation and optimization opportunities. Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Your New Company! At Altasciences we all move in unison to assist and work in the discovery, development, and manufacturing of new drug therapies to get them faster to people who need them. No matter your role, we all play an important part and you will have a significant impact on the health and well-being of people across the globe. By living our values of Employee Development, Customer Focus, Quality and Excellence, Respect and Integrity, we look to foster a passionate and collaborative work environment and we are looking for talented and enthusiastic people, like you, to join our growing team! Whether you're a recent college graduate or seeking your next career opportunity, it's time to discover your future at Altasciences. We are better together and together We Are Altasciences. About The Role As an LC-MS scientist, you will be responsible for assigned nonclinical bioanalytical studies method development, validation, sample analysis utilizing high performance liquid chromatography. You will also be responsible for direct interaction with clients, report writing, and adherence to regulatory guidelines. You will collaborate with other scientists, analysts, and departments in a team-oriented environment. You will possess knowledge and experience in a Good Laboratory Practice (GLP) environment and be able to adhere to GLP guidelines and practices. What You'll Do Here Maintain open and direct communication and attend recurring calls with clients. Serve as principal investigator or contributing scientist for LC-MS studies. Prepare all necessary driving documents for in-lab analysis. Complete and deliver scientific reports to clients on time. Prepare materials, including animal blood and tissues, for analytical assays to be run on LC-MS instrumentation. Maintain and document chain of custody for specimens, reagents, controls, and samples in the laboratory. Perform the assays according to protocol or other guiding documents with accurate documentation. Maintain and update facility records related to the laboratory and its analyses. Review laboratory records, procedures, and study data for completeness and accuracy. Assist in calibration, optimization, maintenance, and collection of data from analytical instruments. Perform routine laboratory maintenance (including cleaning, stocking supplies, equipment maintenance tasks, etc.). Document deviations to laboratory procedures and study protocols in a timely manner and provide input for corrective actions. Collaborate with internal regulatory departments to ensure quality and compliance oversight on GLP studies. Follow Altasciences' Standard Operating Procedures (SOPs), ensure compliance with GLP, FDA's ICH M10 guidelines, ALCOA+, USDA, and AAALAC guidelines, and can identify areas for improvement. Minimum Requirements Bachelor's degree in Immunology/Biology/Chemistry or other scientific related discipline plus a minimum of 5 years of relevant laboratory experience Experience in a Good Laboratory Practices (GLP) environment Experience with LC-MS instrumentation and software Ability to handle multiple projects, prioritize work, and meet deadlines. Preferred Requirements Master's degree or PhD in scientific related discipline 5 to 10 years of experience in a Good Laboratory Practices (GLP) environment Experience with Shimadzu and SCIEX instrumentation Experience with Watson What We Offer The pay range estimated for this position is $80,000 - $105,000 annually. Please note that hourly rates/salaries vary within the range based on factors including, but not limited to, prior relevant experience, skills, education, certification, location as well as internal equity and market data. Benefits Altasciences offers a wide variety of benefits to help our employees live healthy and fulfilling lives both at and outside of work. Altasciences' Benefits Package Includes: Health/Dental/Vision Insurance Plans 401(k)/RRSP with Employer Match Paid Vacation and Holidays Paid Sick and Bereavement Leave Employee Assistance & Telehealth Programs Altasciences' Incentive Programs Include: Training & Development Programs Employee Referral Bonus Program #LI-ES1 MOVING IN UNISON TO DELIVER A BIG IMPACT WITH A PERSONAL TOUCH Altasciences is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability or any other protected grounds under applicable legislation. Reasonable accommodations for persons with disabilities during the recruitment process are available upon request. Join us at Altasciences!

Job Title: Bench Scientist - IJob Description The In Situ Biology team is seeking a motivated associate scientist contractor to assist a team of scientists performing spatial biology experiments aimed at understanding targets for antibody-based therapeutics. The successful candidate will have experience in core histology methodologies, including processing, embedding, and sectioning. The ideal candidate will be energetic and enthusiastic about lab work and flexible in working with different investigators on various projects. Responsibilities + Process samples for downstream histological analysis. + Perform routine histology lab maintenance. + Perform immunohistochemistry experiments using autostainers. + Maintain and catalog a biospecimen repository. + Utilize a LIMS system for documenting experiments. Essential Skills + 1-2+ years' experience working in a laboratory. + BS or BA in a biological science. + Experience with histopathology techniques. + Ability to work collaboratively in a cross-functional research environment. + Highly organized with the ability to multitask. + Quick learner with willingness to learn new skills and technologies. + Excellent teamworking and communication skills and a proactive attitude. Additional Skills & Qualifications + Experience with sectioning is a plus. + Preference given to Histology Technicians (HTs). Job Type & Location This is a Contract position based out of Bothell, WA. Pay and Benefits The pay range for this position is $32.00 - $35.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Bothell,WA. Application Deadline This position is anticipated to close on Dec 26, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place. Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting ************ About this role Dow has an exciting opportunity for a Technical Service & Development (TS&D) Scientist in the Consumer Solution's Consumer Electronics, Computing and Communications materials market located in Auburn, MI or Hayward, CA. This customer-facing role applies in-depth conceptual and practical knowledge in this discipline to support customer needs by leading the development of new applications and by providing technical knowledge on the use, handling and management of Dow products. Join Dow's cutting-edge team at the intersection of materials science and computing innovation-where your expertise in tech meets the transformative power of silicone materials shaping the future of electronics for our customers. This is a Technical Service & Development (TS&D) application engineering role to serve Consumer Electronics, Computing and Communications customers of Dow Consumer Solutions' silicone-based engineered materials and technologies. These customers include, but are not limited to, Chip producers, Hyperscalers, device manufacturers and electronics contract manufacturers and this role is expected to drive Electronics Materials business growth globally. The responsibilities include providing technical support to customers, qualifying Dow products at customers and value chain partners, maintaining good customer relationships together with account managers, identifying growth opportunities in the market, and driving new application development projects. The role requires high initiative, problem solving, good project management skills and the ability to work successfully in varying environments and responsibilities. Excellent communication skills and the ability to cooperate closely with customers and across internal functions are essential. A passion for technology and a high affinity for understanding customer needs and application requirements are important. Furthermore, the team is seeking a hands-on candidate who is comfortable working in a lab setting as part of this role. This role is to be based in Auburn, Michigan or Hayward, California. Some travel within the United States and overseas travel to other Dow locations may be required to promote business, enhance one's competency and share learnings. Many of the customers in this technology space are located on the West Coast, Southwest US or in Asia, among other regions. Responsibilities Working closely with Account Managers, Research Scientists, Application Technology Leaders, Product Technology Leaders and Technical Service and Development Engineers and Technologists, he/she will have responsibility for new customer and new application development. The key responsibilities of this job include: Customer Intimacy & Market Insight - Understand customer application processes, translate needs into material performance, define Critical to Quality items (CTQs), and apply broad market and competitive knowledge to solve technical issues and drive spec-in with strategic accounts Technical Support & Leadership - Provide TS&D to strategic accounts, respond to technical questions, and lead global cross-functional teams to enhance customer engagement from spec-in through commercialization. Strategic Awareness & Value Creation - Monitor competition and market trends, integrate insights into group activities, and articulate differentiated technical solutions and synergies that maximize value for Dow and customers. Project & Intellectual Capital Management - Apply exemplary project methodologies, manage technical project pipelines, contribute to intellectual capital strategy and technology maps, and lead IP development. Communication & Thought Leadership - Deliver clear presentations and reports, influence internal and external audiences, author and present at industry conferences, and coach others on articulating the value of Dow technologies. Required Qualifications A minimum of a bachelor's degree or relevant military experience at or above a U.S. E6 ranking or Canadian Petty Officer 2nd Class or Sergeant. Degree or higher in Polymer Science, Chemical Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering, Materials Science or an applied science related field Minimum 6 years' working experience in electronics-related material technologies, preferably in consumer electronics or computing applications A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process Preferred Qualifications Proven track record of Creativity, Innovation, and Project Management Experience in working with the North America Magnificent 7 in Tech as well as relevant parties in the value chain Problem Solving Skills and Mechanical Aptitude a plus Experience in providing technical support to customers Excellent written and oral communication skills Previous experience working on a project team Cross-functional and/or cross-geography experience Note: This position requires approximately 25-30% of travel. Skills Presentations: The ability to effectively communicate ideas, findings, and proposals to an audience using structured formats such as slides, visuals, and verbal delivery. This includes tailoring the message to different audiences, whether internal stakeholders or external clients. Operational Efficiency: The capability to optimize processes, resources, and workflows to achieve maximum productivity with minimal wasted effort or expense. It involves streamlining operations to deliver better outcomes faster and more cost-effectively. Professional Networking: The practice of building and maintaining relationships with colleagues, industry peers, and other professionals to exchange information, support career development, and uncover new opportunities or collaborations. Active Listening: The skill of fully concentrating, understanding, responding, and remembering what is being said in conversations. It's essential for understanding customer needs, collaborating with teams, and responding thoughtfully. Change Management: The ability to guide, manage, and support individuals, teams, and organizations through transitions or transformations. This includes adapting to new technologies, processes, or strategies while minimizing resistance and maximizing engagement. Innovation: Demonstrated ability to generate and apply novel ideas that improve processes, products, or services-assessed through real-world examples rather than credentials Additional Notes California Exempt Roles: For positions based in California, Dow is required by law to include the pay scale that is reasonably expected to represent the pay range for the position. This pay range is specific to the State of California and accounts for both new and experienced employees with consideration to factors including but not limited to skillset, experience, and sustained job performance (or similar jobs). This job is eligible for an additional 18% geographic differential associated with the California location and this position. A reasonable pay range for this position is: $98,400 - $175,200 Note: Domestic relocation is not available for this role. Benefits - What Dow offers you We invest in you. Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career. You bring your background, talent, and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing. Here are just a few highlights of what you would be offered as a Dow employee: Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives. Benefits and programs to support your physical, mental, financial, and social well-being, to help you get the care you need...when you need it. Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources to help you achieve your long term financial-goals. Employee stock purchase programs (availability varies depending on location). Student Debt Retirement Savings Match Program (U.S. only). Dow will take the value of monthly student debt payments and apply them as if they are contributions to the Employees' Savings Plan (401(k)), helping employees reach the Company match. Robust medical and life insurance packages that offer a variety of coverage options to meet your individual needs. Travel insurance is also available in certain countries/locations. Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building. Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs. Competitive yearly vacation allowance. Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents). Paid time off to care for family members who are sick or injured. Paid time off to support volunteering and Employee Resource Group's (ERG) participation. Wellbeing Portal for all Dow employees, our one-stop shop to promote wellbeing, empowering employees to take ownership of their entire wellbeing journey. On-site fitness facilities to help stay healthy and active (availability varies depending on location). Employee discounts for online shopping, cinema tickets, gym memberships and more. Additionally, some of our locations might offer: Transportation allowance (availability varies depending on location) Meal subsidiaries/vouchers (availability varies depending on location) Carbon-neutral transportation incentives e.g. bike to work (availability varies depending on location) Join our team, we can make a difference together. About Dow Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting ************ As part of our dedication to inclusion, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on ************ Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR ************** and select option 8.

The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators. Position Overview: We are looking for an Applied Scientist to join our Global E-Commerce Alliance Team. The individual will be responsible for driving innovative and practical solutions that impact our search system through machine learning models. As part of the role, the Applied Scientist will work with cross-functional teams, influencing decision-making across multiple teams within the business. The successful candidate will have strong expertise in machine learning and have the ability to leverage this to improve our search systems. Responsibilities: * Work collaboratively with cross-functional teams to develop and implement advanced machine learning algorithms to improve the search and recommendation systems. * Define the scope and design end-to-end machine learning models for search systems. * Analyze complex, large-scale data to extract insights and to identify potential areas where our search system can be improved. * Create, test, implement, and iterate on machine learning models to optimize search functions and improve the user experience. * Stay up-to-date with the latest developments in machine learning and search systems. * Present complex findings and algorithms to a non-technical audience and influence decision-making. * Follow strict data governance and privacy policies to ensure that user data is handled with the utmost care.Minimum Qualifications * PhD, Master or Bachelor's degree in Computer Science, Statistics, Mathematics, or related quantitative field. * Extensive experience in machine learning, deep learning, data mining, or artificial intelligence. * Strong programming skills in Python, C++, Java, GO, or similar. * Strong knowledge of search algorithms, information retrieval, and ranking systems. * Excellent problem-solving and analytical skills. * Strong communication skills with the ability to explain complex concepts to a non-technical audience. Preferred Qualifications * Experience with Natural Language Processing (NLP) techniques. * Proven modeling/algorithms competition records on Kaggle or top conferences' challenges. * Proven programming competition records on ICPC, IOI or USACO. * Experience working with recommendation systems, computational advertising, search engine, E-commerce search systems. * Publication records in machine learning or related conferences or journals is a plus.

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

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

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

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. The Kuiper Global Capacity Planning team owns designing, implementing, and operating systems that support the planning, management, and optimization of Kuiper network resources worldwide. We are looking for a talented scientist to implement Kuiper's long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping Kuiper execute on its business plans globally. As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results. Key job responsibilities In this role, you will: Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization. Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources. Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network. Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other. Analyze large amounts of satellite and business data to identify simulation and optimization opportunities. Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Title: Bench Scientist - IJob Description The In Situ Biology team is seeking a motivated associate scientist contractor to assist a team of scientists performing spatial biology experiments aimed at understanding targets for antibody-based therapeutics. The successful candidate will have experience in core histology methodologies, including processing, embedding, and sectioning. The ideal candidate will be energetic and enthusiastic about lab work and flexible in working with different investigators on various projects. Responsibilities * Process samples for downstream histological analysis. * Perform routine histology lab maintenance. * Perform immunohistochemistry experiments using autostainers. * Maintain and catalog a biospecimen repository. * Utilize a LIMS system for documenting experiments. Essential Skills * 1-2+ years' experience working in a laboratory. * BS or BA in a biological science. * Experience with histopathology techniques. * Ability to work collaboratively in a cross-functional research environment. * Highly organized with the ability to multitask. * Quick learner with willingness to learn new skills and technologies. * Excellent teamworking and communication skills and a proactive attitude. Additional Skills & Qualifications * Experience with sectioning is a plus. * Preference given to Histology Technicians (HTs). Job Type & Location This is a Contract position based out of Bothell, WA. Pay and Benefits The pay range for this position is $32.00 - $35.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Bothell,WA. Application Deadline This position is anticipated to close on Dec 26, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.