Principal research scientist jobs in Kent, WA

The Selling Partner Communities (SPC) organization is dedicated to ensuring every Selling Partner (SP) achieves satisfaction with their Amazon selling experience. SPC serves as a vital bridge between sellers/vendors and Amazon, creating and managing platforms where they can connect, share knowledge, and receive help. The team's mission encompasses listening to SP feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. We are seeking a Sr. Applied Scientist to join our Communities team. The successful candidate is a skilled scientist capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. Key job responsibilities The Senior Applied Scientist in the Selling Partner Communities (SPC) organization plays a crucial role in developing and implementing advanced AI and machine learning solutions to enhance the selling partner experience on Amazon. This role requires strong ownership of all technical aspects throughout the full project lifecycle, while partnering closely with the business to define requirements and exercise good judgment in balancing speed and complexity. As a senior AS on our team you will: - Handle challenging problems that directly impact millions of selling partners - Independently collect and analyze data - Design, develop and deliver scalable models, using any necessary programming, machine learning, and statistical analysis software - Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research - Consult with engineering teams to design data and modeling pipelines which successfully interface with new and existing software - Participate in design and implementation across teams to contribute to initiatives and develop optimal solutions that benefit the SPC organization - Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications. About the team The Selling Partner Communities (SPC) organization serves as a vital bridge between SPs and Amazon, creating and managing platforms where sellers can connect, share knowledge, and receive help. The team's mission encompasses listening to feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. Within SPC, the Science team plays a critical role in leveraging artificial intelligence and machine learning technologies to enhance seller experiences and drive data-driven decisions. The team serves as technical advisors helping shape the organization's scientific vision and strategy, identifying and tackling intrinsically hard, previously unsolved problems that require novel scientific approaches. The team focuses on developing comprehensive frameworks for measuring and monitoring seller sentiment, improving content discovery and engagement, enhancing operational efficiency for Community Assistance Managers (CAMs), bringing clarity to complex challenges through scientific expertise, and creating AI-powered tools for content generation and validation. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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 $150,400/year in our lowest geographic market up to $260,000/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.

Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Fraud & Risk team plays a pivotal role in safeguarding the company's finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security-we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedia's sustained revenue growth possible. In this role, you will: Lead ML Solution Development: Design, develop, and deploy machine learning models to solve complex business problems, ensuring alignment with strategic goals. Drive End-to-End ML Projects: Manage the full ML lifecycle-from data exploration and feature engineering to model evaluation, productionization, and monitoring. Collaborate Across Functions: Partner with engineering, product, and business teams to ensure ML solutions are technically sound and business-relevant. Mentor and Grow Talent: Guide junior scientists and engineers, fostering a culture of innovation, learning, and technical excellence. Advance ML Capabilities: Evaluate and implement cutting-edge algorithms and tools to enhance model performance, scalability, and robustness. Build and Maintain Infrastructure: Configure and optimize storage, compute, and pipeline environments (cloud, on-prem, clusters) to support scalable ML workflows. Develop Internal Platforms and Best Practices: Contribute to the evolution of internal ML platforms, reusable components, and standardized methodologies. Communicate with Impact: Present findings and recommendations through clear, data-driven storytelling and compelling visualizations tailored to diverse audiences. Manage Stakeholders and Projects: Lead cross-functional initiatives, manage expectations, and ensure timely delivery of high-impact solutions. Solve Strategically and Creatively: Frame business problems as data science tasks, prioritize high-leverage work (80/20), and persist through technical and organizational challenges. Minimum Qualifications Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field; or equivalent related professional experience 5+ years of experience building and deploying machine learning models in production environments. Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) to solve real-world problems, with an understanding of their trade-offs and deployment considerations. ML Programming Expertise: Proficient in at least one major ML language (e.g., Python, Scala) with familiarity across others. Software Engineering Skills: Applies design principles, data structures, and patterns to write clean, modular, and pipeline-ready code. Machine Learning Knowledge: Deep understanding of supervised and unsupervised learning; working knowledge of self-supervised and reinforcement learning. Advanced Statistical Methods: Applies techniques like Bayesian Neural Networks, Markov Models, and Factor Analysis with awareness of assumptions and limitations. Applied Research: Conducts applied research and integrates findings from academic publications into practical solutions. Model Evaluation Innovation: Designs and implements custom evaluation techniques for tailored ML solutions. Visualization and Front-End Familiarity: Skilled in data visualization, UX/UI principles, and basic web technologies (HTML/CSS/JavaScript). Preferred qualifications: Mentorship and Leadership: Provides technical mentorship and guides peers in frameworks and methodologies. Knowledge Sharing: Actively contributes to team learning through events, tools, and educational content. Domain and Business Acumen: Demonstrates strong domain expertise (e.g., travel, retail) and critical reasoning aligned with business objectives.

About the Team Centific's Robotics and Physical AI Lab is pioneering the fusion of simulation-first research, embodied intelligence, and multimodal perception. Our mission: accelerate the transition from vision and language understanding to real-world action, enabling next-generation robots, agents, and safety systems across industries. We're assembling a cross-functional team of engineers, researchers, and interns exploring vision-language models (VLMs), world models, and sim2real transfer. As our Lead Research Scientist, you will steer this effort-bridging academic rigor with hands-on experimentation, guiding early-stage researchers, and converting scientific breakthroughs into deployable AI systems. 🎯 Mission Drive the scientific and technical direction of Centific's Physical AI and Robotics R&D. Lead by example-mentoring a team of interns and engineers while collaborating across simulation, perception, and multimodal AI. 🔬 What You'll Do Leadership & Mentorship Lead a team of 3-5 Ph.D. interns and engineers across perception, multimodal reasoning, and simulation projects. Architect and maintain a collaborative research roadmap with measurable milestones and publishable outcomes. Foster a culture of open research, reproducibility, and iterative learning. Research & Development Define and execute high-impact research in embodied AI, world models, and vision-language reasoning. Integrate digital twins, Isaac Sim, MuJoCo, or other simulators for real-world policy validation and sim2real adaptation. Advance multimodal model design-from grounding and affordance recognition to causal and temporal reasoning. Explore data-efficient training, spatially aware neural architectures, and robustness evaluation frameworks. System Integration & Deployment Collaborate with platform engineers to deploy research artifacts into scalable services using Ray, FastAPI, Docker, and Kubernetes. Benchmark large-scale inference pipelines, model distillation strategies, and safety validation workflows. Publish open-source code and internal benchmarks that raise the scientific bar. Collaboration Partner with the Principal Architect, simulation teams, and external research collaborators. Lead proof-of-concept integrations with simulation or robotics hardware vendors. Represent Centific in academic conferences and consortiums on AI, simulation, and robotics. 📚 Minimum Qualifications Ph.D. in Computer Science, Robotics, or related field, with a strong publication record in CVPR/ICCV/ECCV, NeurIPS/ICLR/CoRL/RSS, or equivalent. 5+ years of postdoctoral or industry research experience in computer vision, simulation, multimodal reasoning, or spatial AI. Deep expertise in PyTorch or JAX, GPU-accelerated workloads, and distributed training. Proven record of mentoring junior researchers or leading interdisciplinary R&D projects. Experience with Isaac Sim, Open3D, PyTorch3D, or MuJoCo for digital-twin and behavior simulation. Strong understanding of statistical spatial modeling, RL/MPC policy learning, and world-model architectures. 🌟 Preferred Qualifications Publications or patents in spatially-aware neural networks, multimodal world modeling, or simulation-based training. Experience implementing Ray-based distributed training or Triton/TensorRT-based inference optimizations. Familiarity with trustworthy AI, explainability in autonomous systems, or safety validation for robotics. Contributions to open-source frameworks (e.g., OpenMMLab, Isaac Sim assets, Habitat, Omniverse pipelines). History of academic collaboration or joint research programs with universities or labs. 🧩 What Success Looks Like Delivery of reproducible, publishable, and deployable research outcomes that strengthen Centific's Physical AI IP portfolio. Mentorship that grows the capabilities and confidence of your team. Leadership that balances curiosity-driven research with product-driven execution. Demonstrable impact on simulation realism, policy robustness, and model generalization. ⚙️ Our Stack Modeling: PyTorch, JAX, Hugging Face, xFormers Simulation: Isaac Sim, MuJoCo, Open3D, COLMAP, 3DGS/NeRF Systems: Python, Ray, FastAPI, Kubernetes, Docker, Triton, Weights & Biases Multimodal AI: CLIP, SAM, LLaVA, Cosmos-Reason, Vision-Language Transformers Data & Evaluation: Omniverse USD pipelines, world-model benchmarks, synthetic-to-real datasets 🚀 Why Join Centific Lead the frontier: Shape a new discipline at the intersection of AI, simulation, and robotics. Mentor the next generation: Guide emerging researchers working on cutting-edge multimodal and embodied AI problems. Ship your science: See your research power real systems across safety, healthcare, and smart environments. Collaborate with industry leaders: Work with NVIDIA, Microsoft, and the global Physical AI community. Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

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

Applied Perception Scientist IV Onsite - Redmond, WA Our client is a leading research organization of world-class researchers, developers, and engineers, who collaborate to actively create a future where virtual and augmented reality become as indispensable as today's smartphones and personal computers. The mission of the Virtual Reality Research Audio team is to engineer augmented audio that redefines human hearing capabilities. This will allow us to connect people by facilitating conversation in even the most challenging auditory environment. We are seeking a contract applied research scientist specializing in the perception of tonal languages. This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs. Responsibilities: Oversee and drive research projects on speech quality, statistically analyze results and report findings. Monitor problems, facilitate resolution, and proactively keep projects on track. Implement and conduct pilot listening tests and other perceptual experiences. Regularly report on project progress, dependencies and risks to stakeholders. Support research scientists and engineers within the team. Manage procurement projects for equipment and vendor services. Willingness to "roll up sleeves" and take on operational tasks in support of the team's goals. Minimum Qualifications: Interpersonal and communication skills, with strong attention to detail. Proactive with ability to execute on multiple projects simultaneously. Strong organizational and time management skills. Track record of communicating research on speech perception, hearing sciences or auditory perception in an academic or industrial setting. Experience with data collection with human participants. Experience working in a fast-paced research and/or product development environment. Experience with scientific programming languages such as Matlab, Python, C++, or R. Master's degree or equivalent experience in Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics, Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a related field. Preferred Qualifications: Experience with tonal languages. PhD degree or equivalent experience. Experience with AI generative speech. Experience with modeling audio quality. Pay range is $71 - $76 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. THE PROMISES WE MAKE: At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey. For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited about applying large scale machine learning to solve various real-world problems in E-commerce. The rapid development of large language models has brought more possibilities to e-commerce business. We are actively trying to use large language models to solve some problems in e-commerce recommendations and have made substantial progress. Therefore, we will continuously invest more resources in the research of recommendation algorithms based on large language models. We are looking for talented individuals to join our team in 2025. 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 TikTok. Responsibilities: 1. Continuously track and understand the latest research progress of large language models, including pre-training, fine-tuning, instruction fine-tuning, prompt engineering, multimodal large models, etc. 2. Actively explore the combined application of large language models and recommendation systems to solve practical problems in recommendation systems, including person-goods matching, commodity governance, interest exploration, commodity understanding, and generative recommendation. 3. Cooperate with the infrastructure team to improve the efficiency of large model training, develop large model services, and improve the stability and scalability of training and services. 4. Cooperate with scientists in the team to publish research results in top academic conferences and expand the influence of the team.Minimum Qualifications: * Final year or recent graduates with a background in Computer Science, related technical field or equivalent industry experience, with top artificial intelligence conference papers (NeurIPS, ICML, ICLR, CVPR, ACL, EMNLP, etc.) in machine learning (ML), computer vision (CV), natural language processing (NLP) and other fields. * Hands-on experience in one or more of the following areas: Large Language Models (LLM), Machine Learning, Deep Learning, Recommender Systems, Data Mining, or Natural Language Processing * Excellent programming skills, data structure and algorithm skills, proficient in C/C++ or Python programming language, candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred. * Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet)

NVIDIA is at the forefront of the AI and robotics revolution, and our robotics teams are on a mission to build the essential technology that can enable any company to become a robotics company. The Seattle Robotics Lab is passionate about fundamental and applied robotics research across the full robotics stack, including perception, planning, control, reinforcement learning, imitation learning, and simulation. This research strives to transform research paradigms, transfer into NVIDIA's robotics and simulation products, and build new robotics markets for the world. The Seattle Robotics Lab has led many influential works that have been presented at top robotics, AI, and computer vision conferences; these works include BayesSim, cu Robo, DeXtreme, DiSECT, Factory, GraspNet, ITPS, MimicGen, RVT, and SHAC. (See our publications page for a complete list.) The work has deeply impacted the research community and NVIDIA products, including Isaac Sim, Isaac Lab, and Isaac Manipulator. Furthermore, SRL collaborates closely with other research and engineering teams to advance and use the Cosmos and GR00T-N foundation models, as well as the Newton physics simulation engine. The team is targeting several grand challenges in robotics and is aiming to achieve never-before-seen capabilities within 2-3 years. We are looking for research scientists to play a pivotal role in these efforts. These scientists must have outstanding research and engineering skills, a proven research track record, strong supporting references, and a team-first approach. What you will be doing: * Developing algorithms, models, and methods for robotic manipulation and loco-manipulation, for both industrial and household applications; * Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands; * Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack; * Engaging with the academic community through high-impact publications, conferences, workshops, and code releases; * Collaborating with product managers and engineering teams to transfer your research into NVIDIA products that will have real-world impact; * Mentoring interns joining NVIDIA during their PhD programs. What we need to see: * Completing a PhD in Robotics, Machine Learning, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent experience). * A strong research track record, with work published in top robotics and AI conferences and journals such as RSS, CoRL, ICRA, IROS, IJRR, T-RO, NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and EMNLP. * Exceptional programming skills in Python, as well as proficiency in modern deep learning frameworks (PyTorch or JAX), robotics frameworks (ROS or ROS2), and physics simulation frameworks (Isaac Sim/Lab or MuJoCo). Familiarity with C++, CUDA, and Warp is a plus. * Exceptional communication, collaboration, and interpersonal skills, with significant experience working on teams. * Comfort in working through the complexities of simulation and real-world robotics, including debugging physics simulators and renderers under rapid development; selecting, setting up, maintaining, and enhancing complex robotics hardware; debugging real-world communication systems; and designing robust workflows for model training and evaluation. The following research areas and applications are of particular interest: * Bimanual and dexterous manipulation * Mobile manipulation and humanoid loco-manipulation * Multisensory perception (e.g., vision, tactile, and force/torque sensing) * Simulation, sim-to-real, and real-to-sim * Vision-language-action (VLA) models, including architectural advancements, large-scale training, and test-time reasoning * Industrial applications, such as bin-picking, kitting, and assembly The Seattle Robotics Lab is currently located near the University of Washington and is moving to a new office in the vibrant Fremont neighborhood in 2026. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 29, 2025. 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.

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.

At Reality Labs Research (RL Research), we have built a world class team of researchers and engineers, working together across a broad range of disciplines from machine perception and artificial intelligence to operating systems and hardware. The Surreal team at RL Research is seeking an exceptional researcher that can accelerate our mission to build a new class of spatial and contextualized AI, and lay the foundations for a new computing paradigm that is built from the ground to understand the physical world from egocentric devices.The scientist in this role will be self-driven, creative and have experience with coordinating across a multidisciplinary engineering team to bring a prototype from concept to realization. This person will take initiative and should be willing to execute consistently in an agile, fast-paced environment. **Required Skills:** Applied Research Scientist - Reality Labs Research Responsibilities: 1. Drive the team's goals and technical direction, tackling new and ambitious research challenges in always-on contextual AI 2. Build and execute on a long-term vision and strategy for egocentric machine perception algorithms that can inform and provide long- and short-term situational context for AI-enabled devices 3. Work with cross-functional teams to achieve impactful outcomes. This includes product managers, operations teams, data scientists, and product partner teams, and engineering teams **Minimum Qualifications:** Minimum Qualifications: 4. PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 5. 4+ years of research and/or work experience in machine learning, computer vision, and generative AI 6. Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops and conferences such as CVPR, ICCV, Neurips or similar 7. Experience working autonomously, handling concurrent projects where timelines may be ambiguous or changing, and prioritizing by balancing required effort with resulting impact 8. Experience in Python and C/C++ 9. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience **Preferred Qualifications:** Preferred Qualifications: 10. Experience in 2D/3D perception, including detection, segmentation and tracking. 11. Experience with building contextual AI applications, e.g. LLM and VLM. **Public Compensation:** $177,000/year to $251,000/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@fb.com.

About the Role We're looking for an experienced 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 7+ 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 $197,000-271,700 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. About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Initiates the design, development, execution and implementation of technology research projects. Investigates the feasibility of applying scientific principles and concepts to potential inventions and products. Plans and executes applied research. Maintains substantial knowledge of state-of-the-art principles and theories and may contribute to scientific literature and conferences. May participate in development of patent applications. May coordinate interdepartmental activities and research efforts. What You'll Do * Work towards long-term results-oriented research goals, while identifying intermediate achievements. * Contribute to research that can be applied to Adobe product development. * Integrating novel video research into Adobe's products. * Lead and collaborate on research projects across different Adobe divisions What You Need to Succeed * PhD or Master degree in machine learning, AI, computer science, statistics, or scene semantic understanding; or equivalent experience required with an expected graduation date of December 2026 - June 2027 * 0-1 + years of experience in specific skill/field(s) * Experience communicating research for public audiences of peers. * Experience working in teams. * Knowledge of Web based application development. * Functional knowledge of C++, Python and JavaScript programming languages. * Working knowledge of ML programming. * Experience with graph base computing would be helpful. * Functional knowledge of UI programming concepts. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $228,600 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. 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 **************.

Shannon & Wilson is an employee-owned consulting firm headquartered in Seattle, Washington. We deliver innovative solutions for public and private clients, often on high-profile transportation and water resources infrastructure projects. Committed to technical excellence and high-quality service, we provide integrated geotechnical engineering, engineering geology, environmental and natural resource services for clients worldwide. Since 1954, we have delivered comprehensive engineering and environmental solutions for challenging infrastructure planning, design, permitting and construction conditions. We are looking for a technically capable scientist to lead the expansion of our remote sensing capabilities, focusing on geological hazard identification and monitoring. These capabilities will complement our existing geotechnical, geological, and environmental services and increase our impact on critical projects. Position Overview The Senior Remote Sensing Scientist will lead the development and delivery of remote sensing services, with a primary focus on InSAR time series analysis and a secondary focus on LiDAR change detection. This senior-level role will also help develop our remote sensing business line by educating project managers to identify service opportunities and promoting our capabilities to existing and prospective clients. This role would serve as an internal expert, collaborating with our geotechnical engineers, geologists, environmental scientists, GIS specialists, and software engineers to perform remote sensing analyses. This role would also include mentoring junior staff to further develop remote sensing capabilities. The position will be based in our Seattle, Washington; Portland, Oregon; Denver, Colorado; or Concord, California office, with an in-person or hybrid work model (at least 3 days in-office, 2 days remote). Occasional travel for fieldwork, conferences, and business development opportunities would be required. Key Responsibilities Conduct advanced remote sensing analyses, specializing in InSAR time series analysis to monitor geological hazards such as landslides, subsidence, and erosion, with a secondary focus on LiDAR change detection for similar applications. Serve as the companywide remote sensing expert, training and mentoring Project Managers (PMs), geological and geotechnical engineering technical staff, and marketing staff on capabilities and applications of remote sensing. Lead growth of our remote sensing services by presenting at conferences, engaging with clients, and partnering with internal teams to expand service offerings. Produce deliverables including technical reports, maps, data visualizations, code, and calculation packets to communicate findings to clients and internal teams. Collaborate with current clients and project managers to assess the feasibility of implementing InSAR or other remote sensing methodologies and identify opportunities to integrate services into proposals for existing and new clients. Develop and optimize workflows using available software (e.g., Python, QGIS, ArcGIS Pro) and public datasets (e.g. Sentinel-1, USGS 3DEP lidar). Determine when specialized commercial software or imagery is required for project needs. Perform occasional fieldwork, including geologic reconnaissance, mapping, or site investigations, which may require overnight travel within the U.S. Stay informed on advancements in earth observation missions (e.g., Sentinel-1, NISAR) and remote sensing technologies to enhance service delivery. Location and Work Environment This position is based in our Seattle, Washington; Portland, Oregon; Denver, Colorado; or Concord, California office with an in-person or hybrid work model requiring at least 3 days in-office and 2 days remote. Occasional travel for fieldwork, client meetings, business development, or conferences is required. Why Join S&W? Join a dynamic, interdisciplinary team at S&W, where you'll lead the development of a cutting-edge remote sensing service line. Work on high-profile infrastructure and environmental projects, collaborate with top geo-professionals, and make a tangible impact on client solutions. S&W offers opportunities for professional growth, a supportive work environment, and the chance to shape innovative geospatial services. Requirements Technical Skills PhD in remote sensing, geospatial sciences, geotechnical/geological engineering, geology, earth sciences, or a related field preferred OR a master's degree required. 6 to 14 years of direct experience in areas noted above. Advanced expertise in InSAR processing and time series analysis to identify and quantify ground surface movement extent, magnitude, and rates. Experience or working knowledge of LiDAR change detection for geological hazard monitoring and subsidence characterization. Experience using other remote sensing imagery (hyperspectral, thermal, soil moisture) and data collection (drone, terrestrial lidar) for engineering, geological, and environmental applications a plus. Experience with Python for geospatial data processing, analysis, and visualization. Strong skills with geospatial tools for data integration and map production, including open-source GIS/QGIS and/or ArcGIS Pro. Experience with software engineering workflows for collaborative, distributed computing (e.g., GitHub) or willingness to learn them. Up-to-date familiarity with current and forthcoming earth observation missions and their applications for providing marketable services to existing SW clients in geotechnical and environmental contexts. Ability to evaluate when open-source tools and public datasets will provide sufficient value for clients versus when commercial software or imagery is needed. Background in geotechnical/geological engineering, geology, or earth sciences, with an understanding of geological processes and hazards is required. Knowledge of geophysical methods and applications is a plus. Soft Skills Proactive, adaptable, and comfortable working in ambiguous environments to develop a service line. Strong verbal and written communication skills, with enthusiasm for educating internal teams and clients on remote sensing applications and opportunities. Ability to confidently serve as the organization's leading remote sensing expert, representing S&W at conferences and client meetings. Collaborative mindset, comfortable working across disciplines with geotechnical engineers, geologists, environmental scientists, GIS specialists, and software engineers. Entrepreneurial spirit to identify and competitively pursue remote sensing opportunities for service line growth. Level Placement Typically, depending on an applicant's education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, a Mid-Level Remote Sensing Scientist typically would be placed at a Shannon & Wilson Senior Professional I, II, or III, level. Compensation: Senior Professional I: $90,000 - $110,000 Senior Professional II: $110,000 - $125,000 Senior Professional III: $120,000 - $135,000 Shannon & Wilson offers a competitive benefits package to support our employees. These benefits include: Employee ownership Comprehensive medical, prescription, vision, and dental coverage. Pre-tax health and daycare FSA Life and disability insurance Long-term care insurance Profit sharing and 401(k) plans Paid time off for vacation and sick leave 10 paid holidays Paid volunteer day Free parking Shannon & Wilson is an Equal Opportunity Employer. Shannon & Wilson participates in the E-Verify program. Please note that non-solicited resumes from external recruitment agencies will not be considered as introductions to our business, unless a preapproved agreement is in place and the external recruitment agency has been engaged to work on this specific vacancy. Salary Description $90,000 - $135,000

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

About Outpace BioOutpace Bio is pioneering the future of cell therapy for solid tumors by harnessing unrivaled AI-powered protein design. Our mission is to program immune cells for enhanced function inside patients, overcoming key barriers such as poor tumor access, weak survival, antigen escape, and dose-related toxicity. By creating and integrating modular, plug-and-play technology assets, we are developing cell therapies with unprecedented efficacy, transforming how engineered T cells interact with cancer and the immune system to deliver life-changing outcomes. Our multidisciplinary team of scientists, engineers, coders, and cell therapy developers works at the cutting edge of computational protein design, synthetic biology, and immunology. Together, we are reimagining how cells function to unlock novel therapeutic possibilities.Located in Seattle's vibrant biotech hub overlooking scenic South Lake Union, Outpace Bio is led by pioneers in computational protein design and engineered cell therapies. Our culture is built on a foundation of respect and inclusion, which are fundamental to how we collaborate to revolutionize cell therapy through groundbreaking innovation rooted in rigorous science. Our Commitment to DiversityAt Outpace Bio, we believe that the highest performing teams include people from a wide variety of backgrounds and experiences. We are committed to cultivating an open, diverse, and inclusive culture for all employees. Recognizing that the best candidates do not always match all criteria of the job description, we encourage you to apply if you think you would be a good fit for the role and are inspired by our mission to cure disease by pushing the boundaries of biology. Our MomentumIn August 2024, Outpace Bio secured an oversubscribed $144 million Series B financing, led by RA Capital Management and supported by a premier syndicate of life science investors. This funding accelerates our pipeline of programmed T cell therapies, including our lead candidate OPB-101, a mesothelin-specific chimeric antigen receptor (CAR) T cell enhanced by Outpace's proprietary OUTSMART™, OUTLAST™, OUTSPACER™, and OUTSAFE™ technologies. OPB-101 is advancing toward IND clearance and first dosing in 2025 for patients with advanced platinum-resistant ovarian cancers. The Series B investment also supports the expansion of our pipeline, enabling us to develop additional transformative therapies leveraging our innovative plug-and-play technology platform. We are seeking a Senior Research Associate or Scientist I to join the viral vector production team at Outpace Bio. In this role, you will apply your scientific training and technical expertise to produce, purify, and characterize lentivirus for our cell and gene therapy applications. Working collaboratively with our Immunology, In vivo, and Cloning teams, you will ensure timely delivery of high-quality viral vectors while contributing to the development of novel viral assays and scale-up process development and improvement. Successful candidates will bring strong technical skills in mammalian cell culture, viral vector systems, viral vector process development, viral downstream purification, and analytical techniques including flow cytometry and molecular quantitation methods. We seek motivated, detail-oriented scientists who can work independently, troubleshoot technical challenges, and optimize protocols to advance our research programs. If you are a collaborative team player with strong problem-solving skills and enthusiasm for translating research into therapeutic impact, you will thrive in our fast-paced startup environment.Responsibilities (Position responsibilities may include, but are not limited to): Produce and characterize lentivirus supporting multiple Outpace research and pipeline programs Design and execute optimization experiments to improve viral titers, purity, and production efficiency Support scale-up of lentiviral production for process development and preclinical in vivo studies Perform and optimize functional titer and genome quantitation assays (flow cytometry, dd PCR/dPCR) Contribute to the development of improved upstream and downstream vector production and purification methodologies Contribute to experiment design, data analysis, and presentation of results in internal meetings Contribute to authoring or reviewing protocols, reports, or regulatory filings. Qualifications (Required): Ability to work independently on experimental design, execution, and troubleshooting Proficiency in mammalian cell culture and aseptic technique Hands-on experience with small-scale lentivirus production (adherent or suspension systems) Working knowledge of chromatography and filtration principles, downstream bioprocessing, and process scale-up Experience operating chromatography systems (AKTA or equivalent) Experience with filtration operations including UF/DF and depth filtration Highly organized with strong attention to detail and data quality Ability to learn new protocols quickly and apply critical thinking to problem-solving Effective scientific communication skills with ability to discuss results and collaborate with team members Experience measuring viral titer by flow cytometry and dd PCR/digital PCR Hands-on experience with transfection and transduction protocols Experience safely handling lentivirus under BSL-2 conditions 3+ years of research experience with mammalian cell culture systems Qualifications (Preferred): Master's or PhD in Virology, Molecular Biology, Immunology, Cell Biology, Gene Therapy, or related field; alternatively, Bachelor's degree with substantial position-relevant research experience in academic or industry setting Lentivirus process development in suspension culture formats (96-well, 24-well, shake flask, and 1-5L bio-reactor scales) Downstream viral vector processing including tangential flow filtration (TFF) and chromatography-based purification Familiarity with molecular biology techniques including nucleic acid isolation, quantification, and PCR-based methods Experience with mammalian cell culture in bioreactor systems Experience in a startup or fast-paced biotech setting Experience with Electronic Lab Notebook (ELN) systems (Benchling) Ability to manage multiple projects, prioritize workflow, meet deadlines, and collaborate effectively in cross-functional teams Familiarity with other viral vector platforms (gamma retrovirus, AAV) The salary range is based on Outpace Bio's reasonable estimate of base salary for this role at the time of posting. Actual base salary will be based on a variety of factors including skills, experience, and other related factors permitted by law. Working at Outpace offers an exciting opportunity to contribute to groundbreaking research that has the potential to transform the lives of people around the world. Outpace Bio Total RewardsFull time employees and their eligible dependents may enroll in Outpace's medical, dental, vision, life insurance, disability, flexible spending account, health savings account, commuter benefits, legal benefits, and 401k plan which includes an employer match. In addition, employees may receive stock option grants to be outlined in their offer of employment and a performance bonus. Outpace employees enjoy flexible PTO, paid sick leave which complies with local requirements, and fifteen paid holidays plus a winter shutdown. Outpace also offers a generous paid parental leave policy to all regular full-time employees. Outpace Bio is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. Applicants must be authorized to work in the United States. If you are legally authorized to work in the United States now, or in the future without any form of sponsorship, we encourage you to apply. Outpace Bio does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Outpace Bio or its employees is strictly prohibited unless contacted directly by Outpace Bio's internal team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Outpace Bio and will not owe any referral or other fees.

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.

Research Scientist - Frontier AI & Open Collaboration Seattle/San Mateo: Hybrid onsite Compensation: $190-265k, DOE and negotiable Our client is advancing the future of AI through open-source innovation and collaborative research. They're building a platform that empowers researchers and developers to create state-of-the-art models - from data preparation to deployment - and they're looking for a Research Scientist to help push the boundaries of what's possible. This role is ideal for someone passionate about large language models (LLMs), vision-language models (VLMs), and the open-source ecosystem. You'll work on model development, data curation, benchmark creation, and contribute to impactful research published in top-tier venues. What You'll Do * Conduct original research on LLMs, VLMs, and related architectures * Curate high-quality datasets and design evaluation benchmarks * Collaborate with engineers and researchers across the open-source community * Publish findings in leading conferences and journals * Contribute to open-source tools, models, and libraries Ideal profile * Ph.D., MSc, or equivalent experience in ML, AI, or computer science * Strong publication record or demonstrated research impact * Deep expertise in machine learning and deep learning * Proficiency in Python and frameworks like PyTorch * Passion for open-source and collaborative development * Initiative and ownership in fast-paced environments Prime Team Partners is an equal opportunity employer. Prime Team Partners does not discriminate on the basis of race, color, religion, national origin, pregnancy status, gender, age, marital status, disability, medical condition, sexual orientation, or any other characteristics protected by applicable state or federal civil rights laws. For contract positions, hired candidates will be employed by Prime Team for the duration of the contract period and be eligible for our company benefits. Benefits include medical, dental and vision. Employees are covered at 75%. We offer a 401K after 6 months, we do not provide paid holidays or PTO, sick time is offered in accordance with local laws.

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.

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.

Title- Ecotoxicology Research Scientist Classification- Fish & Wildlife Research Scientist 1 (RS1) Job Status- Full-Time / Permanent WDFW Program- Fish Program - Marine Fish Science Division - Toxics Biological Observation System (TBiOS) Unit Duty Station- Olympia, Washington - Thurston County Learn more about being a member of Team WDFW! Members of the TBiOS research team haul in a net with seine fishing for juvenile Chinook on the Duwamish River - Photo Credit: WDFW Are you passionate about protecting the health of Puget Sound and the aquatic species that call it home? Join our Toxics Biological Observation System (TBiOS) team, a long-term contaminant monitoring program dedicated to tracking toxic pollutants and understanding their effects on aquatic life. As our Ecotoxicology Research Scientist, you will design and manage ecotoxicological studies that inform real-world actions to remediate toxics and safeguard fish health in the Puget Sound ecosystem. As a key consultant on contaminant effects, you'll focus on guiding remediation and recovery efforts primarily in benthic habitats, leading both field and laboratory research, analyzing data using statistical models, and communicating findings through reports, publications, and presentations. Your critical work will directly influence decisions that protect and restore Puget Sound's vital aquatic resources. What to Expect- Among the varied range of responsibilities held within this role, the Ecotoxicology Research Scientist will, Design, Plan, and Manage Ecotoxicological Research Studies: * Determine contaminant research and analyses needs. * Oversee evaluation of contaminant status and trends in the ecosystem and the harm they may cause to organisms. * Analyze and interpret ecotoxicological data (e.g., analytical chemistry, stable isotopes, metabolomics), and life history data to evaluate the sources of toxic contaminants in the ecosystem, and the harm contaminants may cause to their health and viability. * Oversee, implement, and manage all aspects of ecotoxicological research studies including staffing, budgeting, proposal writing, data acquisition and management, and oversight of field and lab activities. Communicate Complex Scientific and Technical Information: * Advise and consult on regional contaminant-related technical committees, planning and advisory panels, and management teams focused on remediating environmental toxics to help recover the Puget Sound ecosystem. * Develop recommendations to inform and impact management actions intended to reduce contaminant exposure for aquatic species in Puget Sound. * Publish ecotoxicological research findings in peer-reviewed journals, technical reports and other outlets. Program Effectiveness - Work with TBiOS Team leadership to Ensure Program Effectiveness: * Supervise the Biologist 3 leading the English sole monitoring survey and provide technical guidance and oversight related to English sole work products. * Develop a research and work plan that identifies monitoring and research priorities and addresses information gaps and uncertainties resulting from findings from on-going TBiOS monitoring and regional contaminant research studies. WORKING CONDITIONS: Work Setting, including hazards: Field: * Assist with the collection of fish or invertebrates from boats and along the Puget Sound shoreline which may include living on a boat for up to a week at a time, working in inclement weather, navigating rough seas that may cause motion sickness. * Conduct shoreline and nighttime sampling in remote, rocky, or muddy areas, occasionally lifting heavy objects such as ice-filled coolers and baskets of fish on moving decks. * Fish handled by staff may possess sharp or venomous spines or bite and assist with deploying and retrieving sampling nets from boat or shore. * This position may involve working in or near water, including tasks that require navigating, negotiating, and performing duties related to water environments. Lab/Office: * Dissections and sample creation may occur in a mobile laboratory set up on a boat or an off-site location but mostly will occur at the NRB Marine Resources Lab. * Haul frozen samples in and out of a walk-in freezer and may handle chemicals including formalin, alcohol, and various acids. * Use of sharp instruments such as scalpels, knives, and syringes. Schedule: 40 hours per week, the standard work schedule includes the potential for occasional evening or weekend work as needed. Schedules may vary based on business needs, time of year, and/or weather conditions. Alternative schedules may be considered based on business needs. Travel Requirements: Travel is required at infrequent intervals to attend meetings or to conduct fieldwork. This work requires driving long distances throughout western Washington, sometimes at night. During field surveys, the incumbent may spend up to five (5) days away from home on a boat or in motels. Tools and Equipment: Duties require the use of standard office equipment, lab equipment (e.g., scalpels, syringes, meat grinders), field gear (PFDs, waders, botts, raingear) and field equipment (e.g., small boats and outboard motors, beach seines, lampara seines). Customer Interactions: Frequent contact with various representatives from local, state, federal agencies, tribes and non-governmental organizations, as well as the occasional interactions with public (e.g., recreational fishers). QUALIFICATIONS: Required Qualifications: Option 1: * A Doctoral degree with a major in statistics, biometrics, ecotoxicology, ecology, or closely allied fields. Option 2: * A Master's degree in statistics, biometrics, ecotoxicology, ecology, or closely allied fields, with emphasis on statistical tools required to analyze temporal and spatial data. AND * Two (2) years of professional experience using statistical or mathematical procedures to analyze spatial and temporal trends, design and conducting ecological research studies, and communicate scientific findings. Option 3: * Equivalent combination of education and experience. In addition to the required three (3) options noted above, the successful candidate must also have the following (experience may be gained concurrently): * Expert knowledge of ecotoxicology principles as they relate to Toxics Biological Observation System (TBiOS) goals and work activities. * Understanding of the chemical contaminants Puget Sound biota are exposed to, including legacy pollutants and emerging contaminants, their ecological impacts, and quality assurance considerations associated with this type of data. * Robust understanding of how life-history traits influence contaminant exposure and biological effects. * Experience developing and implementing analytical approaches to investigate contaminant-related research questions and interpreting contaminant data using evidence-based methods. Certifications/Licenses: Valid driver's license. Special Requirements/Conditions of Employment: * Successful completion of mandatory, job-related training and/or certification-such as safety, equipment operation, fieldwork procedures, and/or emergency management-may be required as a condition of employment, depending on position responsibilities, supervisory direction, and training availability. * Employees may also be required to participate in safety courses, committees, or groups, and complete recertification as needed to support the safety of the agency and its personnel. Preferred Qualifications: In addition to the required qualifications, our ideal applicant will possess some or all the following: Experience: * Experience with descriptive, comparative, and advanced statistical or modeling approaches. * Expertise with statistical programming languages and/or platforms such as R. * Demonstrated success in writing scientific reports and peer-reviewed research articles. * Experience presenting research findings at scientific conferences and to general audiences. * Experience working in a team setting, coordinating interests and skills among TBiOS team members, and engendering respect and collegiality in the team. * Proficiency in setting and achieving interim project milestones consistent with long-term research priorities. Ability to: * Evaluate multiple sources of information, including data generated by the individual and the scientific literature, to write clear and concise scientific narratives. * Clearly articulate scientific concepts and facts, both orally and in writing. * Set clear project objectives, develop a work plan and meet deadlines. * Develop contracts, plan expenditures and track budgets. Skills: * Aptitude for critical thinking, intellectual autonomy, and crafting precise language. * Aptitude for using background language and concepts appropriate for each target audience. Include the items below with your application materials: * A completed online application showcasing how your qualifications align with the job requirements. * An up-to-date resume. * A cover letter detailing your interest in the position, your relevant skills and experience, and why you are the ideal candidate. * At least three professional references with current contact information. In addition to pay and other special employee programs, there are other benefits that WDFW employees may be eligible for. Click the "Benefits" tab at the top of this announcement to learn more. Important Note: All new employees must complete an Employment Eligibility Verification Form (I-9 Form) on their first day of work. If hired for this or any position at WDFW, you will be required to provide documentation proving you are eligible to work in the United States. For a list of acceptable documents, please use the following link: *************************************************************** Union- WAFWP: This position is in the bargaining unit represented by the Washington Association of Fish & Wildlife Professionals and is subject to the terms of the Collective Bargaining Agreement between the State of Washington, Department of Fish & Wildlife, and the Washington Association of Fish & Wildlife Professionals. Veteran and Military Spouse Preference Notice: Per RCW 73.16.010 Veterans and qualifying spouses who meet the minimum qualifications of a position are eligible for preference during the initial application review stage. To receive this benefit, please do the following: * Notify us of your veteran or military spouse status by email at *********************. * Veterans only - Attach a copy of your DD214 (Member 4 copy), NGB 22 or USDVA signed verification of service letter. * Please redact any PII (personally identifiable information) data such as social security numbers. * Subject line must include recruitment number, position, and spouse/veteran (example: 2024-1234 - Biologist 1 - Veteran) * Include your name as it appears on your application in careers.wa.gov. Diversity, Equity, and Inclusion Employer As part of WDFW's efforts to advance respectful and inclusive work environments, the Agency expects inclusivity as part of our professional interactions and communications. Therefore, we want to ensure that all individuals feel welcome, are treated fairly and respectfully. All staff are empowered to fully contribute to serving their work unit, Agency, and the citizens of Washington. The Department of Fish and Wildlife is an equal opportunity employer. We strive to create a working environment that includes and respects cultural, racial, ethnic, sexual orientation and gender identity diversity. Women, racial and ethnic minorities, persons of disability, persons over 40 years of age, disabled and Vietnam era veterans and people of all sexual orientations and gender identities are encouraged to apply. Request an accommodation: Persons needing accommodation in the application process or this announcement in an alternative format please contact Jayme Chase by phone ************ or email **********************, or the Telecommunications Device for the Deaf (TDD) at ************. Technical Difficulties: If you are having technical difficulties creating, accessing, or completing your application, please call NEOGOV toll-free at ************** or ******************. Other questions: If you have other questions regarding this position, please reach out to ********************* and reference job #2025-08390. Follow us on social media: LinkedIn | Facebook | Instagram AL