Research fellow jobs in Marysville, WA - 856 jobs

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are now looking for a Research Scientist New Graduate with a focus on Machine Learning Systems (MLSys). NVIDIA Research is seeking exceptional systems researchers to contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. Advances in AI/ML heavily rely on the development of efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models. AI/ML applications are also pushing the limits of both personal devices and warehouse-scale data centers. All layers of AI systems need to be co-designed and co-optimized to maximize performance and energy efficiency, improve scalability, and support emerging algorithms in this space. We are seeking candidates that have a proven track record of research excellence, a broad perspective on systems design across the full hardware/software/infrastructure stack, and depth in one of the layers such as AI/ML systems, operating systems, distributed systems, data management, cloud computing, and computer architecture. What you'll be doing: * Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications. * Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales. * Contribute to the co-design of next-generation AI/ML algorithms and systems. * Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking. * Publish original research and speak at conferences and events. What we need to see: * Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience). A strong publication, patent, and research collaboration history is a huge advantage. * Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds. * Background with experimental research and development. * Experience with C, C++, Python, and/or scripting languages. * Experience with using AI tools for analysis, design, and code development. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Understanding biological structure is central to deciphering the mechanisms of life and advancing drug design. We are developing next-generation, structure-centric, multimodal foundation models that power key applications-from complex structure prediction and functional modeling to de novo molecular design. We are a cross-disciplinary team of experts in machine learning, structural biology, computational chemistry, and bioinformatics, supported by strong engineering infrastructure and access to large-scale compute resources. We aim to develop open, high-precision, generalizable models that drive breakthroughs in biology and drug discovery. We offer a collaborative, impact-driven environment at the forefront of biology and artificial intelligence, where your work directly contributes to transformative advances in drug discovery and life sciences. Our team benefits from access to cutting-edge compute infrastructure, proprietary tools, and a culture that values open science. By joining us, you'll have the opportunity to build foundational technologies that shape the future of molecular design and biological understanding. We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance. Successful candidates must be able to commit to an onboarding date by end of year 2026. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Responsibilities: 1) Collaborate closely with a multidisciplinary team of ML researchers, computational biologists, and chemists to tackle cutting-edge scientific challenges in molecular modeling. 2) Contribute to the design, training, and optimization of large-scale models for structure prediction across diverse biomolecular systems, addressing key challenges such as conformational sampling, binding affinity estimation, and de novo molecular generation. 3) Translate insights from structural biology, experimental data, and physical principles into scalable model architectures and generative algorithms. Minimum Qualifications: 1) PhD in Computational Biology, Structural Biology, Computer-Aided Drug Design (CADD), Biophysics, or a related field, with publications in top-tier journals or contributions to widely adopted tools. 2) Extensive experience with computational tools and workflows in structural or computational biology, including molecular dynamics (e.g., GROMACS, AMBER), docking (e.g., AutoDock, Glide), quantum chemistry (e.g., ORCA, Gaussian), structure prediction and design (e.g., Rosetta, RFDiffusion), or analysis of cryo-EM/X-ray data. 3) Hands-on experience integrating wet-lab and computational data, and applying structural or biological insights to address complex biological problems. Proficiency in programming and scientific computing (e.g., Python, C++, bioinformatics pipelines). 4) Strong scientific curiosity, a collaborative mindset, and the ability to quickly learn new concepts and tools.

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

Meta is seeking AI research scientists to help us build the data foundation for Meta's most advanced Large Language Models. We're looking for researchers with LLM expertise to join us on working with data at scale and to push beyond the data ceiling.Our team contributes to data curation across all stages of LLM development (pre-training, mid-training, post-training) and all domains/modalities (e.g., web, code, agent, multilingual). We tackle the hardest challenges at trillion-scale, including organic data curation, synthetic data generation, agent and interaction data, and frontier paradigms that redefine what's possible. Based in Meta Superintelligence Labs (MSL) within the Fundamental AI Research Organization (FAIR), you'll directly contribute to Meta's frontier models like Llama, while having the chance to collaborate with researchers and engineers across MSL. **Required Skills:** AI Research Scientist, Text Data Research - MSL FAIR Responsibilities: 1. Collaborate with cross-functional teams to develop Meta's next foundational models 2. Advance our understanding of data research, such as how to overcome data walls and how best to create synthetic data 3. Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling 4. Architect efficient and scalable data curation systems and pipelines 5. Execute on high priority projects in pre-training, mid-training, or post-training data curation 6. Apply specialized expertise in agentic data, synthetic data, reasoning data, web parser, coding data, data scaling laws, or datamix optimization 7. Lead complex technical projects end-to-end **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 9. PhD in Computer Science or a related technical field 10. 2+ years of industry research experience in LLM/NLP or related AI/ML models 11. Experience as a formal technical lead, leading major technical initiatives with cross-functional impact, and/or influencing strategy across multiple teams 12. Practical experience with pre-training or mid-training data curation for large foundational models and experience working with organic, synthetic, agentic, or reasoning data for LLMs 13. Published research in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) and/or demonstrated significant industry influence in the field of AI **Preferred Qualifications:** Preferred Qualifications: 14. Experience working on frontier-quality/state-of-the-art Large Language Models 15. Multiple first-author publications in leading peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP) 16. Hands-on experience with modeling frameworks like PyTorch 17. Hands-on experience on SQL and large-scale data handling, with familiarity of frameworks like Spark and Hive **Public Compensation:** $184,000/year to $257,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

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

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations. About This Role This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale's data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions. Ideally, you'd have: Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes. A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.). At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning. Strong written and verbal communication skills, along with the ability to work effectively across teams. Nice to have: Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX. Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents. Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar. Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH. Proficiency in cloud-based ML development, with experience in AWS or GCP environments. Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands- everything they need to design and deliver exceptional digital experiences. We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. Our goal is to recruit top talent and is dedicated to promoting outstanding employee experiences where all individuals are valued and offered equitable opportunities. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours. The Opportunity Adobe is looking for a Applied Research Scientist who will apply AI and applied research techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization. By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus. What You'll Do Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques. Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems Collaborate with product management and engineering groups to develop new products and features. What You Need to Succeed PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required graduating between December 2025 - June 2026 0-2+ years of experience in specific skill/field(s) Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. Proficient in one or more programming languages such as Python, Scala, Java and C Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn Knowledge and experience of working with relational databases and SQL Strong analytical and quantitative problem-solving ability. Excellent communication, relationship skills and a strong team player. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.In Washington, the pay range for this position is $146,300 - $211,850 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

IEH Laboratories, a Leader in Food Safety, is now accepting applications for a Research Scientist - Microbiology position at its facility in Seattle, WA. Applicants must possess a PhD degree in Microbiology, Food Science, or related field, with a minimum of 5 years of experience as postdoctoral fellow and strong knowledge of Bioinformatics required. The candidate should be highly motivated and proactive, have a strong passion for food microbiology and food science, and be willing to do their best to help our clients on their requested projects. The pay range for this position is $85,000.00 - $110,000 annually. This is a full-time position and is eligible for the following benefits after a brief waiting period: medical, dental, vision, life/AD&D insurance, long- and short-term disability insurance, 401(k), health and dependent care FSA plans, employee assistance program, 15 days of paid time off per year for sick leave and/or vacation, 3 days paid bereavement leave, and 6 paid holidays per year. Occasional weekend work, extended hours, and or presence in the lab outside of the normal schedule are sometimes required. This position may require occasional travel assignments depending on project needs. Due to exposure to various food allergens in the laboratory environment, applicants with moderate-to-severe food allergies are discouraged from

Employment Type: Full -time Salary: Negotiable About the Role We are seeking a highly motivated Applied AI Research Scientist to join a cutting -edge AI Lab focused on generative AI and computer vision. This position is ideal for researchers passionate about advancing image and video generation, 3D reconstruction, and multi -modal modeling in real -world applications. You will be part of a globally distributed team with backgrounds from top -tier labs and companies. The lab moves quickly, and many research concepts are tested and deployed within weeks, not years. Team members are encouraged to publish and present at top -tier conferences, while also contributing directly to product features used by millions. This is an on -site position based in Bellevue, WA. About the AI Lab This AI Lab plays a central role in enhancing the AI capabilities of widely used consumer -facing creative tools. The team is focused on: Developing state -of -the -art algorithms in computer vision and generative modeling Conducting seminal research that advances the frontiers of image and video generation, 3D modeling, and multimodal learning Collaborating across product and engineering teams to integrate research into real -time applications Mentoring top -tier AI researchers and engineers to drive innovation and technical excellence Fostering a collaborative, high -ownership culture where research excellence meets fast -paced product iteration Requirements Key Responsibilities Research and develop advanced models for image and video generation, editing, 3D reconstruction, and related areas Conduct and publish high -impact research while contributing to product -driven development Collaborate closely with internal and external teams to push the frontier of applied generative AI Translate innovative research into efficient, scalable solutions for deployment in production environments Provide mentorship when necessary to support a strong and innovative technical team culture What You'll Work On As part of the team, you will contribute to the development of: Diffusion and generative adversarial models for image and video synthesis and enhancement 3D face modeling and reconstruction for augmented editing and animation features Multimodal generative models combining text, image, audio, and video signals Real -time inference systems optimized for mobile and cloud deployment Novel AR and visual storytelling tools leveraging generative vision models You will work with large -scale, proprietary datasets covering diverse visual domains, and also utilize and benchmark against public datasets and challenges. The models you build will be deployed in widely used digital creative tools with millions of global users. We use PyTorch, TensorFlow, and proprietary tools for scalable model training and deployment. Basic Qualifications Industrial research experience, either as a full -time employee or intern, with projects in computer vision, computer graphics, or natural language processing (NLP) For U.S. -based candidates: Must obtain work authorization at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications PhD in Computer Vision, Computer Graphics, NLP, or a closely related field Three or more years of industry or academic experience in a relevant field Strong interest in and thoughtful consideration of the product impact of AI technologies Excellent engineering skills to implement and optimize research prototypes into scalable deliverables Proven problem -solving skills, with the ability to evaluate alternatives and make data -driven decisions Strong communication skills to effectively share complex ideas with technical and non -technical audiences A track record of first -author publications in top -tier conferences such as CVPR, ECCV, ICCV, NeurIPS, or SIGGRAPH Benefits Why Join Work on high -impact projects that combine deep research and real -world application Collaborate with world -class researchers and engineers in a fast -moving and supportive environment Access large -scale data, high -quality infrastructure, and real users to accelerate your work Be part of a lab that actively supports both academic contributions and production innovation Apply now to shape the future of generative AI in products used by millions worldwide.

General Robotics is an AI research and deployment company building general robot intelligence, and we are seeking a Research Scientist to join our team. We conduct focused research and engineering to build generalized robotics foundation models that work across form factors such as aerial, ground, manipulation, and others. We are looking for strong candidates who have a background in robotics and machine learning, with experience in areas like multimodal machine learning; synthetic data generation through simulation; LLMs; reinforcement learning and imitation learning for robotics; efficient training and inference. By applying to this role, you will be considered for multiple teams, such as simulation, foundation model research, and robot deployment. Research Scientist Responsibilities Independently implement state of the art multimodal machine learning models and techniques for robotics. Independently identify and execute on reasonable medium to large scale research ideas with many tasks. Apply robotics model improvements to relevant business needs. Come up with well thought out hypotheses with a clear focus. Independently design, run, and evaluate experiments to validate these hypotheses. Independently identify and debug common issues in training machine learning models such as overfitting/underfitting, efficiency bottlenecks etc Work with high fidelity simulation platforms for synthetic data generation at a large scale. Keep up to date with the state of the art in multimodal machine learning and foundation models for robotics applications. Lead publications and open-sourcing efforts. Communicate your learnings effectively to various stakeholders. Minimum Qualifications PhD in Computer Science, Robotics, relevant technical field, or equivalent practical experience. Research experience in machine learning, robotics, and computer vision. Programming experience in Python/C++. Detailed understanding of deep learning frameworks like Pytorch or Jax. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. First author publications at major AI and robotics conferences (e.g., NeurIPS, CVPR, ICCV, ICML, ICLR, ICRA, IROS). Desired Qualifications Experience with developing robotics algorithms or machine learning models at scale. Detailed understanding of large language models (LLMs) and the Transformer model architecture. Experience with training Transformers for multimodal data. Experience with high fidelity simulation platforms such as AirSim, CARLA, Isaac Sim among others. Good understanding of systems considerations and the ability to factor these into model choices. Experience building efficient robotics pipelines involving sensor fusion and model inference Experience with optimizing and running machine learning models on real robots or edge hardware like Nvidia Jetson, while balancing model performance with latency / compute etc. Proven track record of achieving significant research results and innovation

About Nuance Labs Nuance Labs is an early-stage deep tech startup building the first real-time human foundation model-a unified system across text, speech, and vision designed to make AI socially and emotionally intelligent. We're working toward AI that can read subtle human signals-a shift in tone, a glance, a pause-and respond in a way that feels natural and grounded in context. This is foundational work at the frontier of multimodal learning and real-time systems. We've raised a $10M seed round backed by Accel, South Park Commons, Lightspeed, and top angels, and our team includes world-class researchers from MIT, UW, and Oxford with decades of experience at Apple and Meta, shipping ultra-low-latency ML systems used by millions. Why This Role Exists Large multimodal models are advancing quickly, but real-time, human-centered interaction remains unsolved. Training models that can reason across text, speech, vision, and embodied signals-while operating under tight latency constraints-requires new approaches to architecture, data, and optimization. This role exists to own and define how multimodal large language models are trained inside a broader human foundation model. As a Founding Research Scientist, you'll set technical direction, design training strategies, and turn research ideas into systems that can operate in the real world. This is a blank-page role with real agency. You'll decide what problems matter, how we tackle them, and how research translates into working, scalable models. What You'll Be Building You'll help build the first human foundation model that operates across text, speech, facial expression, and body language in real time. Your work will power systems that: Understand fine-grained human signals across modalities and infer meaning in context Reason autoregressively over multimodal inputs in real time Drive lifelike avatars whose expressions, gestures, and tone evolve frame-by-frame during interaction The field is wide open. Existing solutions treat language, voice, and vision as separate problems. This role offers the rare chance to define how these modalities are trained and unified at the foundation-model level. What You'll Own You'll operate as a founding-level researcher with end-to-end ownership over MLLM training and evaluation. You will: Design and train multimodal large language models and autoregressive architectures Own the full ML pipeline, from dataset design and preprocessing to large-scale training and benchmarking Develop training strategies that balance quality, generalization, and real-time performance Push research breakthroughs into practical, production-oriented systems Explore new architectures, objectives, and scaling strategies for multimodal reasoning Write clean, maintainable research code that enables rapid iteration Collaborate closely with researchers across speech, vision, and systems engineering Who Will Thrive Here You're comfortable operating at the research frontier and making progress without a playbook. You care deeply about model behavior, but you're equally motivated by getting things to work outside the lab. You likely: Enjoy blank-page research problems and defining technical direction Move quickly from ideas to experiments to results Think deeply about data, evaluation, and failure modes Thrive in highly collaborative, cross-domain teams Requirements PhD or equivalent experience in multimodal LLMs, MLLM training, or closely related fields Deep expertise in training large-scale autoregressive models Strong command of modern deep learning and distributed training systems Experience running the full ML lifecycle, from data curation to evaluation Ability to translate research insights into practical systems Strong coding skills and a commitment to clean, maintainable research code Clear communication and strong collaboration skills Nice to Have Publications at top ML or multimodal AI conferences Experience with real-time or low-latency ML systems Prior work unifying language, vision, and/or speech models Experience shipping large ML systems into production Why Join Now Joining Nuance Labs now means defining the training foundation of a category-defining AI system. You'll have outsized influence over core research decisions, work in-person with a world-class team, and help solve one of the hardest problems in AI: real-time, multimodal human interaction.

Job Description Chips are at the center of today's tech-driven world. But how we design them has not changed in decades, while their complexity and specialization have skyrocketed due to increasing performance demands from applications like AI. We want to change that. Our team is small, technical, and fast-moving. We've built and shipped at the intersection of AI, EDA, and systems software, with deep roots at companies like Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. We're backed by top investors including Khosla Ventures, Cerberus, and Clear Ventures, and already deployed with 10+ innovative customers-from Fortune 100s to cutting-edge AI silicon startups. Role Overview You'll design, engineer, and research agentic systems-software that plans, executes, uses tools, and learns. You'll bridge LLM agent research (prompting, tool use, memory architectures) with the engineering that puts these systems in production for chip design workflows. Key Responsibilities Agent Research & Prototyping Architect and iterate on agentic components: memory, context engineering, tool usage, multi-agent coordination Experiment with prompting, finetuning, and orchestration to improve agent performance Infrastructure Development Build scalable infrastructure for prompt iteration/testing, benchmarking, logging, and evaluation Assist with pipelines for fine-tuning, automated evaluation, and model deployment. Collaboration & Integration Work directly with chip designers and ML infra engineers to embed agentic workflows into chip design pipelines Partner with product teams to solve core agent challenges (e.g., long-horizon planning, tool integration) Research & Metrics Define and evaluate performance metrics for agent systems Design goal-oriented agentic workflows to enhance task completion You Should Have 5+ years of combined ML research and / or software engineering experience Hands-on with LLMs: prompting, finetuning, evaluation Strong programming skills Solid foundations in distributed systems, data pipelines Cloud + on-premise infra experience involving GPUs. Familiarity with Docker Excellent communication & a bias toward collaborative problem-solving PhD or MS in ML, CS, or related field, or equivalent research + implementation experience Ability to build, evaluate, and iterate LLM-based applications Nice-to-Have Experience in fine-tuning LLMs specifically for agentic applications Experience designing agentic systems or multi-agent workflows Familiarity with reinforcement learning (RLHF/RL-agent contexts) Background in integrated ML infra and agent evaluation pipelines Interest or experience in the chip design/EDA domain What Makes This Role Unique Play a key role at the intersection of agent research and real-world infra, delivering autonomous workflows for chip design Influence both the research direction and the productionization of agentic systems Join a tight-knit founding team, directly impacting high-stakes chip-design automation tasks Culture Challenge status quo : We are innovators who can challenge the status quo and push forward our vision of the world. Strong opinions, loosely held : We are low on ego, but high on collaboration. We are okay to be wrong and are always open to learning. Ship fast, ship quality : We ruthlessly prioritize what matters. We build a few things, but at lightning speed with high quality. Proud of our craft : Attention to detail is in our DNA. We take pride in what we build and ensure they exceed the high standards of the semiconductor industry.

Apple is seeking Applied Research Scientists with expertise in Generative AI to join their team. The role involves leveraging state -of -the -art Generative models to enhance Apple's products and services for various devices, including the iPhone, Mac, Apple Watch, and iPad. The team's mission is to enhance Apple platforms by understanding and adapting to user behavior through machine learning, resulting in exceptional features integrated into Apple platforms. The ideal candidate should have industry experience in modeling areas such as Conversational Agents, Reinforcement Learning, and Large Language Models. They should also possess strong programming skills in Python and/or C++, proficiency in ML toolkits like PyTorch and TensorFlow, and the ability to build deep -learning systems. This role requires creative problem -solving, collaboration, and hands -on work in multi -functional teams. Candidates should hold an M. S. or PhD in Computer Science or a related field with a minimum of 5 years of experience in applied ML and/or product development. The base pay range for this role is $161,700 to $284,900, with additional benefits and stock programs offered to Apple employees. Publications in top -tier conferences and experience in robotics, deep learning, and mobile device development are advantageous.

Why we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely. By providing the safest, highest quality, and most flexible AI, we aspire to unlock positive impact for every individual, enterprise, and humanity overall. What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end; from data preparation to model training, evaluation and production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also advances open foundation models in collaboration with academic collaborators and the open community. Our Approach: Oumi is built on a foundation of open source, with open collaboration at the heart of everything we do. Our work is: Research-driven: We conduct and publish original AI research, working closely with academic research labs and collaborators across the globe. Community-powered: We believe in the strength of open collaboration and actively welcome contributions from researchers and developers worldwide. Accessibility-focused: We design Oumi to help any organization-regardless of size or resources-effectively build, deploy, and benefit from AI by lowering barriers to access, experimentation, and adoption. Role Overview The Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development. What you'll do: Model Development: Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods. Data Curation: Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques. Benchmark Development: Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains. Research and Experimentation: Design and conduct experiments to validate research hypotheses and improve model performance. Open Source Contribution: Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries. Collaboration: Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI. Publication: Publish research findings in leading conferences and journals. Platform Evaluation: Evaluate existing models and identify areas of improvement. Flexibility: Work with various models, including text and multimodal models, and both open and closed models. Problem Solving: Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back. What you'll bring: Education: A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered. Research Experience: Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals. ML Expertise: Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs). Programming Skills: Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch). Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community. Initiative: A self-starter who can work independently and take ownership of initiatives. Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded. Benefits Equity in a high-growth startup Comprehensive health, dental and vision insurance 21 days PTO Regular team offsites and events Location: Hybrid work environment, with offices in: San Mateo, CA Seattle, WA New York, NY

Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. Our headquarters are in the greater Seattle area, but we celebrate and embrace a remote culture. Participation in the Postdoctoral Research program requires that you are physically present in the United States for the duration of the program. #LI-remote Who We Need We are seeking a highly motivated and talented Machine Learning Postdoctoral Researcher to join our AI research team and contribute to our innovative projects in the field of Large Language Modeling (LLM) and clinical data analysis. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. Program Details Our Postdoctoral Research program is designed for candidates who have completed their PhD within the last two years and worked in their area of expertise since graduation as a postdoc, professor, or industry researcher/scientist. Candidates are expected to demonstrate both independence in defining their research strategy within a domain as well as an ability to apply innovative solutions to our products. Our postdoc research programs are designed to be a minimum of 3 months and a maximum of 12 months, with the opportunity to extend beyond the initially agreed term based on the company's needs and the candidate's desires. This Opportunity We are looking for machine learning experts who can utilize applied science and software development skills in building our Foundation Models that help us address some of the hardest problems towards our vision of Saving Lives with Data. You will work in an exciting and fast-paced environment, collaborating closely with multiple teams across the company. You will work as part of an organization that brings together talent from diverse backgrounds including software engineering, big data, machine learning and AI, clinical informatics, and medicine making our team an exciting place to work. We value and encourage diversity in the belief that our differences make us and our products better. In this role, you will: * Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications. * Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks. * Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy. * Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning. * Deliver the next generation of innovation in trustworthy healthcare. Key Qualifications * Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI * Strong theoretical and practical background in NLP including experience with state-of-the-art architectures * Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI * Solid programming skills in Python and the ability to write clean, efficient, and well-documented code * Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems * Strong communication skills and the ability to work effectively in a collaborative research environment Preferred Qualifications * Experience with distributed parallel training, large-scale multi-modal foundation and generative models * Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques * Familiarity with training multi-modal foundation models * Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments * A track record of publications and contributions to the machine learning and natural language processing communities This postdoctoral research program offers a unique chance to work on state-of-the-art language models and contribute to transformative research with the vision of Saving Lives with Data. You will be part of a dynamic team of researchers and engineers who are passionate about pushing the boundaries of machine learning and natural language understanding in the healthcare domain. Join us and make a significant impact on the future of healthcare and patient well-being. Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We offer: * Competitive compensation * Company-issued laptop and equipment * Opportunities for future full-time positions * The range for this position is $50-$60 per hour Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.

The Department of Psychiatry and Behavioral Sciences within the UW School of Medicine is the third largest clinical department within the School of Medicine with 330 full-time faculty members, 460 courtesy faculty members, and over 350 staff. Department faculty provide clinical services in 5 hospitals, 14 primary care locations, and several outpatient sites in addition to telepsychiatry consultations to more than 150 clinics in Washington and beyond. As the only academic psychiatry department serving the five state WWAMI region (Washington, Wyoming, Alaska, Montana, Idaho), the Department's highly competitive residency training program is largely responsible for developing the mental health workforce in the Pacific Northwest. The Department's robust research portfolio totals $67 million in grants and contracts per year for projects ranging from clinical neurosciences to treatment development to health policy and population health. The Department is recognized as an international leader in developing, testing, and implementing Collaborative Care, an integrated care model increasingly seen as a solution for population-based mental health care. Other areas of excellence include Addictions, Autism, High Risk Youth, Neurosciences, and Trauma, and the Department is developing innovative new programs in Technology and Mental Health, Global Mental Health, Maternal and Child Mental Health, and Targeted Intervention Development. Psychiatry is the third largest department in the School of Medicine and the largest non-divisioned department. The overall annual operations funding from all sources is over $130 million. The Department of Psychiatry & Behavioral Sciences within the UW School of Medicine currently has an outstanding opportunity for a Full-tim e, Temporar y Research Scientist/Engineer 4. Seven Directions at the University of Washington is the first national public health institute in the United States to focus solely on improving Indigenous health and wellness. We are committed to cultivating and sharing knowledge, connecting communities and resources, and working to achieve shared goals for future generations. Seven Directions partners to support tribal communities to increase the capacity of tribal health systems designed to prevent and respond to the opioid overdose epidemic and address other health disparities, as well as conducting community-driven and community-designed health research. Our work includes culturally tailored technical assistance, community-engaged culture-centered research, evaluation, training, Indigenizing and decolonizing research, Indigenous data sovereignty, policy translation, convenings, and dissemination strategies. These services aim to improve Indigenous-serving organizations' and systems' data collection and epidemiologic surveillance capacity; increase implementation of evidence-based prevention strategies grounded in values respecting tribal sovereignty and cultural traditions; showcase models of tribal promising practices; and utilize Indigenous evaluation approaches. This position (Pro Staff Temp Position (E S)) is in the field of public health research. The position will focus on better understanding and improving Indigenous public health and prevention in the areas of opioid overdose, substance use, and mental health using epidemiological and social science frameworks. The Research Scientist (RS) is a key member of the Seven Directions team, works alongside senior team members and guides junior team members in implementing a variety of research, evaluation and training activities, including contributing to project design, grant writing, implementation and management of multiple research projects, IRB submission and modification, data analysis, manuscript development and dissemination. The RS will lead and provide collaborative support in deliverables related to opioid overdose prevention, Indigenous evaluation and broad capacity building and system strengthening in partnership with Indigenous communities. The RS will be focused on developing a plan for updating Indigenous evaluation training materials, draft a scope of Indigenous evaluation training materials including peer reviewed literature sources and community data and research, interfacing with CDC partners and executing Indigenous evaluation training. The ideal candidate will bring doctoral level experience working in research, evaluation or training with AI/AN communities as well as an understanding of and humility toward AI/AN historical, contemporary, and cultural contexts. Responsibilities Research study design, grant preparation, data analysis and scientific writing/publication (40%) The RS will work with Seven Directions team to plan and design opioid, substance use, mental health, or other Indigenous culture-centered research or technical assistance projects related to Indigenous evaluation, Indigenous health and wellbeing and more. They will take a significant part in project design and operations, including designing project phases; conducting scientific and grey literature reviews, environmental scans; developing interview scripts, project protocols, quantitative surveys; writing grey and scientific manuscripts. In collaboration with other team members. they will analyze data, formulate conclusions, and present research results in publishable formats, including written documents, presentations, or online modules. They will work with PIs and faculty to identify external federal, state, local and private grant opportunities. Research and Project Management (30%) Lead and assist with project management activities, including developing and monitoring project timelines, ensuring work is successfully executed and completed within time frames to meet research objectives and communicate with diverse academic, practice and community partners. Develop research operations protocols and train staff in implementing the research activities. Develop technical assistance, training, workshop plans or training materials and participate in delivering or facilitating these interactions with partners. Lead project- related communications, logistics, and technical support. Engage in occasional travel to conferences and partner sites. Dissemination of Findings (20%) The RS will support the dissemination of findings to variety of audiences and in a variety of formats, including academic publications, online forums, webinars and virtual and in-person presentations. They will contribute to manuscript development and report writing. They will prepare meeting summaries, progress reports, study deliverables, journal articles and other written materials, and present study findings at meetings as needed. Administration and operations (10%) Work with PI and senior staff with auxiliary project management duties as requested and anticipate additional areas for support. Serve on 1-2 Seven Directions internal committees. Minimum Requirements A Master's Degree in Public Health, Epidemiology, Psychology, Social Work, Sociology, Information School, American Indian Studies, or related fields, and a minimum of four years working in the field. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Additional Requirements Familiarity with or work experience with Indigenous or other underserved populations and settings. Familiarity with issues affecting American Indian and Alaska Native Indigenous health, healing, cultural diversity and strengths. Familiarity with public health evaluation including Indigenous evaluation. Demonstrated fluency in Quantitative and/or Qualitative and/or Mixed Methods research methodology. Ability to design interview guides, conduct one-on-one interviews and facilitation of focus groups, organize and analyze and summarize qualitative data (interviews, stories etc.). Ability to develop survey instruments, collect, analyze, interpret and summarize quantitative data. Experience in community engagement or community based participatory research (CBPR). Knowledgeable about substance use and disorder in general and among AI/AN communities. Experience designing and implementing research studies, including identifying and appropriate research instruments and methodologies. Experience leading the successful publication of grey and scientific literature. Knowledge and experience with the grant writing process. Knowledge and prior experience with human subjects institutional review process. Baseline knowledge of appropriately indicated statistical design based on desired analysis. Familiarity with literature management software packages, e.g., EndNote, Zotero, etc. and qualitative software management and analysis software packages, e.g., Dedoose, Atlas.ti etc. Experience working closely as a trusted resource with communities to identify needs, define strategy, develop action plans, identify deliverables, present results, measure outcomes, and provide recommendations. Knowledgeable about public health communication best practices and effective communication for different populations. Experience developing and facilitating trainings for adult learners. Experience facilitating meetings and discussions for internal and external (i.e., community, funders) partners. Desired Qualifications A Doctoral Degree in Public Health, Epidemiology, Psychology, Social Work, Sociology, Information School, American Indian Studies, or related fields. Four or more years working in or on behalf of tribal nations and American Indian or Alaska Native (AI/AN) communities in both urban and rural settings. Advanced statistical analysis and program software knowledge. Familiarity with project management tools and/or software packages, e.g., MS Project, Smartsheet, etc. Compensation, Benefits and Position Details Pay Range Minimum: $99,444.00 annual Pay Range Maximum: $164,328.00 annual Other Compensation: - Benefits: For information about benefits for this position, visit **************************************************************************************** Shift: First Shift (United States of America) Temporary or Regular? This is a temporary position FTE (Full-Time Equivalent): 100.00% Union/Bargaining Unit: Not Applicable About the UW Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. Our Commitment The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81. To request disability accommodation in the application process, contact the Disability Services Office at ************ or **********. Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugate therapies. Our pipeline includes varegacestat, a late-clinical stage GSI; IM-1021, a clinical-stage ROR1 ADC; and IM-3050, a FAP-targeted radiotherapy that recently received IND clearance. We are also advancing a broad portfolio of early stage ADCs pursuing undisclosed solid tumor targets. Position Overview As a Research Associate III at Immunome, Inc., you will be a key contributor to our research and development initiatives, driving the optimization and delivery of antibody-drug conjugates (ADCs). In this role, you will design, produce, and characterize ADCs in support of program-specific objectives, while collaborating closely with cross-functional partners. Your expertise in bioconjugation will provide critical insights that help advance our therapeutic pipeline and strengthen our scientific capabilities. Responsibilities Research Design and Execution Generate high quality ADCs to enable advancement of named programs. Evaluate innovative bioconjugation and linker technologies. Assess developability of discovery stage ADCs. Work collaboratively with cross-functional teams to plan experiments aimed at advancing drug development projects. Independently perform laboratory experiments in accordance with established protocols, maintaining the highest standards of scientific rigor, documentation, and data integrity. Continuously optimize laboratory processes to improve workflow efficiency, reproducibility, and throughput. Manage ADC inventory and coordinate delivery of samples to cross-functional partners. Data Analysis and Interpretation: Characterize biophysical properties of ADCs using various techniques, such as analytical SEC, HIC, PLRP, and LC-MS. Interpret results and draw meaningful conclusions to guide decision-making. Project Collaboration Collaborate with colleagues from diverse scientific disciplines to achieve project goals. Participate in project team meetings, providing expertise and insights to drive projects forward. Continuous Learning and Development Stay informed about the latest bioconjugation advancements in the ADC field. Proactively seek opportunities for professional development and contribute to the scientific growth of the research team. Qualifications BS or MS in Biochemistry, Chemistry, or related field. Minimum of 5 years of experience (or 3 years of experience for MS) in preclinical drug development in the biotechnology or pharmaceutical industry. Proficiency in bioconjugation techniques and demonstrated experience in ADC pre-clinical development is a requirement. Knowledge and Skills Proficient in analytical techniques and purification methods relevant to biologics and ADC development (SEC, HIC, PLRP, and LC-MS, etc). Experience in antibody engineering and protein modification is a plus. Excellent communication skills, both written and verbal, to effectively collaborate with cross-functional teams and communicate scientific concepts to non-scientific stakeholders. Proven ability to adapt to changing priorities and work in a fast-paced, dynamic environment. Experience with Agilent OpenLab and Benchling is a plus. Please note, the internal title for this role is Research Scientist II, Bioconjugation Chemistry Washington State Pay Range$96,044-$107,008 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).

Clinical Research Investigator DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our sites in Seattle, WA. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligible participants are enrolled onto studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and comply with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical License (MD, DO) At least 2 years of experience as a Clinical Research Investigator. Spanish Bilingual a plus.

HIRING ASAP! If interested in more information/direct feedback, please reach out to me directly at ghilson@actalentservices. com and attach your resume and contact information. * BENEFITS:YES * PAY: $40-43 an hour depending on experience * SCHEDULE: On-site Job Description: * Execute established laboratory workflows from planning through data analysis. * Recognize, document, and escalate protocol deviations to appropriate stakeholders. * Ensure laboratory equipment and instruments remain in good operating condition; recognize malfunctions and troubleshoot as needed. * Maintain an up-to-date understanding and working knowledge of methods performed in the laboratory. * Provide feedback on workflows and participate in developing solutions to address pinch points, throughput limitations, and data quality issues. * Collaborate with a team of researchers to extend and interpret advanced analytical methodologies. * Facilitate interactions with both internal and external collaborators to develop efficiencies for cutting-edge analytical methods. * Adapt to unexpected schedule changes and respond to emergency situations as needed. * 20% meetings, 80% research MUST HAVES: * Hands-on expertise with cutting-edge molecular biology, flow cytometry, display technology, microbiology, and/or biochemistry methods and concepts. * 2-4 years of directly related commercial experience. * Bachelors degree (e.g., Biochemistry, Genetics, Molecular Biology, or Microbiology) * Familiarity with data analysis tools and methodologies commonly used in modern laboratory environments. * Demonstrated ability to work successfully in an entrepreneurial environment. * Excellent organizational skills with strong attention to detail and record-keeping. * Strong verbal and written communication skills (essay development skills) * Knowledge of safety procedures related to the operation of laboratory equipment and handling of chemical and biological hazards. NICE TO HAVES: * PhD in the life sciences (e.g., Biochemistry, Genetics, Molecular Biology, or Microbiology) * Ability to work effectively within multidisciplinary teams at the interface of life science and computer science. * Broad familiarity with multiple areas of the life sciences. * Hands-on experience in high-throughput research, including operation of liquid handling systems. * Tissue culture experience Job Type & Location This is a Contract position based out of Seattle, WA. Pay and Benefits The pay range for this position is $40.00 - $43.00/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 Seattle,WA. Application Deadline This position is anticipated to close on Feb 11, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.