Postdoctoral scholar jobs in Shoreline, WA

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.

Primary Skills: Python (Expert), Machine Learning (Advanced), LLM (Advanced), AWS Services (Expert), Data Structure (Advanced) Contract Type: W2 Duration: 6 Months with Possible Extension Pay Range: $60.00 - $64.00 Per Hour #LP Join our Worldwide Operations Security team to play a pivotal role in building innovative software solutions for our Fulfillment Centers. As an Applied Scientist II, you will leverage your expertise in machine learning, algorithm development, and distributed computing to significantly enhance customer experiences and advance our technologies. This position offers a unique opportunity to work on cutting-edge software and gain experience within a large-scale operation, promising a significant impact on our products and services. Key Responsibilities Develop and enhance algorithms to improve customer experience and operational efficiency. Apply scientific principles to assess the feasibility of new projects and invent novel solutions. Utilize machine learning, natural language processing, and other advanced techniques to solve complex problems. Collaborate with a team and work independently on various projects within the Fulfillment Center's software solutions framework. Stay updated and contribute to the advancement of the state-of-the-art in your field of expertise. Must-Have Skills: Strong experience in programming (Java, Python, or similar). Proficiency in ML and familiarity with AWS services like Bedrock, Sagemaker. Expertise in algorithms, data structures, and distributed computing. Industry Experience: Prior experience in large-scale operations or similar technology-driven industries is preferred. About Akraya Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)! Industry Leaders in IT Staffing As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires! Join Akraya Today! Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!

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.

Contract - 6 Months contract with a possibility of extension The In Situ Biology team is seeking a motivated associate scientist contractor to assist a team of scientists performing spatial biology experiments aimed at understanding targets for antibody-based therapeutics. The successful candidate will have experience in core histology methodologies, including processing, embedding, and sectioning. The ideal candidate will be energetic and enthusiastic about lab work and flexible in working with different investigators on various projects. Responsibilities Process samples for downstream histological analysis. Perform routine histology lab maintenance. Perform immunohistochemistry experiments using autostainers. Maintain and catalog a biospecimen repository. Utilize a LIMS system for documenting experiments. Qualifications 1-2+ years' experience working in a laboratory. BS or BA in a biological science. Experience with histopathology techniques. Experience with sectioning is a plus; preference given to Histology Technicians (HTs). Ability to work collaboratively in a cross-functional research environment. Highly organized with the ability to multitask. Quick learner with a willingness to learn new skills and technologies. Excellent teamworking and communication skills, and a proactive attitude.

Play a part in building the next revolution in machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. You should have a strong research background in machine learning or related fields, with a proven record of publications in leading machine learning conferences and journals. In this role, you will have the opportunity to define and pursue a research agenda focused on solving fundamental problems related to data-centric ML and AI agents, such as synthetic data generation, enhancing planning and reasoning capabilities of ML models. You will focus on producing high-quality, reproducible research and advancing our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple. Ability to formulate a research problem and design, experiment, implement, and communicate solutions. Ability to work in a diverse, collaborative environment. High-quality open-source contributions to related projects. PhD or equivalent practical experience in Computer Science or a related technical field. Strong presentation skills for internal and external communications Demonstrated expertise in machine learning research Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, etc.) Strong hands-on experience working with Python and deep learning toolkits such as PyTorch Strong mathematical skills in linear algebra and statistics

About the Team The Applied Machine Learning Enterprise AI Foundation US team drives the design, development, and operation of MaaS solutions in US and rest of world overseas of mainland China. We are a product team that builds full stack end-to-end solutions covering text and multi-modality LLM algorithms, prompting engineering, LLM model alignment, and intelligent agents, etc. for a wide range of application domains. We build products that facilitate development of LLM applications and landing into production. We are actively seeking talented Software and Algorithm Engineers specializing in prompt engineering, RAG, multi-agents, post-train, RL, Robotics to join our team. In this role, you will be at the forefront of cutting-edge research and development of advanced techniques for LLM solutions including model fine-tuning, evaluation, inference, alignment, prompt engineering, intelligent agent, etc. To ensure we have the ability to run current and future models at increasingly high scale with unprecedented efficiency. Responsibilities: * lead the creation of next-generation, high-capacity LLM platforms and innovative products. * work closely with cross-functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains. * maintain a deep passion for contributing to the success of large models is essential in this innovative and fast-paced team environment.Minimum Qualifications: * Ph.D./Master in Computer Science, Data Science, Artificial Intelligence, or a related field. * Strong understanding of cutting-edge LLM research (e.g., long context, multi modality, alignment research, agent ecosystem, etc.) and possess practical expertise in effectively implementing these advanced systems. * Proficiency in programming languages such as Python, Rust, or C++ and a track record of working with deep learning frameworks (e.g., pytorch, deepspeed, megatron, vllm, etc.). * Strong understanding of distributed computing framework & performance tuning and verification for training/finetuning/inference. Being familiar with PEFT, RL, MoE, CoT or Langchain is a plus. Preferred Qualifications: * Excellent problem-solving skills and a creative mindset to address complex AI challenges. Demonstrated ability to drive research projects from idea to implementation, producing tangible outcomes. * Published research papers or contributions to the LLM community would be a significant plus. * Experience with inference tuning and Inference acceleration. Have a deep understanding of GPU and/or other AI accelerators, experience with large scale AI networks, pytorch 2.0 and similar technologies. * Experience with large scale machine learning systems' scheduling and orchestration, familiar with Kubernetes and Docker. * Experience with evaluation of AI systems, LLM application & agent development is desirable.

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

Business UnitWhat the Role Entails Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models and Agents. We are currently seeking researchers in Agents, with an emphasis on developing stable and efficient scalable RL framework and algorithms. The final position level will be determined based on the candidate's experience and accomplishments. 1. Conducting cutting-edge algorithm research, with a focus on the design and optimization of scalable RL frameworks and algorithms for Agents with various environments, including Web Agent, GUI Agent. Research areas include but are not limited to RL Algorithms, Reward Modeling, World Models, GUI Agent, and Web Agent. 2. Conduct large-scale experiments of technology and algorithm innovations in scenarios such as autonomous agents and self-improving agents, deliver impactful algorithms for real world applications, and publish influential research papers. Who We Look For 1. Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university. 2. Experience of working in leading global companies in the field of large foundation models. 3. Proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch or TensorFlow. 4. Strong academic background, with publications in top-tier conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP; experience in deep learning research or engineering projects. 5. Excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation. 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.

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.

Meta is seeking a Postdoctoral Researcher to join the Imaging Experience Architecture (iXA) team. As part of the iXA team, you will have the unique opportunity to interact with the best-in-class architects, scientists, and engineers working to define the future of display. At Meta, our goal is to build products that provide optimal content reproduction for each device. Content fidelity and consistency is critical to the success of Meta devices that feature displays. To this end, we must architect pipelines that ensure that color rendering appears consistent from device to device, regardless of the capabilities of the display or camera and viewing conditions.As a Postdoctoral Researcher, you will be experienced in the use and implementation of visual metrics, including reference and no-reference versions. The position is focused on creating and applying novel metrics to specialized problems related to Meta business cases for novel display modes including virtual, augmented and mixed reality (AR/VR/MR). Special focus is given to perceptual modeling, and subjective measurement and validation of different aspects of vision and display, such as stereo, color, high dynamic range, etc. **Required Skills:** Postdoctoral Researcher, Perceptual Graphics (PhD) Responsibilities: 1. Study and understand vision science literature, and use in-depth subject-matter knowledge to model key aspects of human vision (e.g. stereo, color, contrast and luminance, etc.) 2. Generate models pertaining to these aspects of vision, including specific adaptations for AR/VR/MR use cases 3. Perform subjective data collection to extend the state-of-the-art when necessary, as well as to validate the proposed models 4. Contribute to the formulation of a roadmap for generating metrics and evaluation protocols for problems associated with Meta products 5. Contribute to solutions for optimizing AR/VR/MR rendering using objective and subjective techniques 6. Consider power-efficient techniques subject to platform HW constraints **Minimum Qualifications:** Minimum Qualifications: 7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 8. Currently has or is in the process of obtaining a PhD in computer science, vision science, or related fields, or equivalent practical experience. Degree must be completed prior to joining Meta 9. Experience with image and video quality evaluation 10. Experience designing and performing psychophysical experiments 11. Understanding of perception, including some topics like contrast, luminance, color, stereo, etc 12. Experience using Matlab, Python, or similar programming languages 13. Experience working and communicating cross functionally in a team environment 14. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 15. Familiarity with objective and subjective image quality evaluation metrics 16. Experience using standard lab equipment for camera/display measurement and testing 17. Familiarity with spatial and temporal perception 18. Familiarity with stereoscopic visual modeling 19. Familiarity with AR and VR systems 20. Familiarity with CIE, ISO and related standards for color 21. Understanding of the graphics rendering pipeline 22. Demonstrated software engineering experience 23. Knowledge of optics, signal processing, mathematical modeling and/or simulation expertise with respect to visual perception and/or systems design 24. Demonstrated software engineering experience via an internship, work experience, coding competitions or PhD papers 25. Proven track record of achieving significant scientific results as demonstrated by publications in high-impact journals or conferences (e.g. SIGGRAPH, CVPR, NeurIPS, etc.) 26. 1+ year of industry experience designing and building image quality evaluation systems for practical applications **Public Compensation:** $117,000/year to $173,000/year + 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.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive! By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows. Joining this team means crafting the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what is possible in design! What You'll Do * Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express. * Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning. * Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling. * Design and build modular ML components that integrate into Adobe's Horizon AI Stack and serve multiple creative workflows. * Drive the end-to-end ML lifecycle-from experimentation to evaluation, optimization, and production deployment. * Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life. * Design evaluation strategies using a combination of automated metrics, LLM based judges, and user feedback. Basic Qualifications * Masters, or PhD (preferred) in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience. * Strong programming skills and proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX. * Experience with modern ML architectures including transformers / visual transformers, diffusion models, or GANs. * Experience with cloud platforms, MLOps and deploying ML systems in production at scale. * Be able to quickly read, understand and prototype relevant research papers. Preferred Qualifications * Experience with Large Language Models and model adaptation techniques (Ex: PEFT, SFT, RL etc.) * Familiarity with agent-based systems, intelligent assistants, or planner-based AI. * Experience in creative, imaging, or multimedia domains. * Publications in renowned ML/CV/AI conferences (e.g., NeurIPS, CVPR, ICML, SIGGRAPH). What You Need to Succeed * Passion for creativity and learning with a drive to improve solutions. * Be up to date with the latest and greatest in AI Research. * Comfortable working in a fast, iterative and ambiguous environment. * Strong communication skills with the ability to explain technical ideas and experiment results clearly. * Collaborative spirit with a focus on product impact, AI / ML innovation and engineering excellence. 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 $102,400 -- $196,300 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 Jan 31 2026 12:00 AM 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 **************.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts. Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made. Qualifications Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc. Experience translating methods between areas of application is highly valued. LLM experience is valuable, but not necessary. Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience. The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company's retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you. Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

A full-time postdoctoral position is available on an annual 12- month appointment in the Yang Lab in the Center for Stem Cell Genomics at the University of Washington. The lab focuses on generating and utilizing pluripotent stem cell and primate models to dissect the cellular and molecular mechanisms of embryogenesis and investigate reproductive complications, including infertility and miscarriage. The candidate will carry out the research work under the supervision of Assistant Professor Min Yang within the Center for Reproductive Sciences at the Department of Obstetrics and Gynecology, and Insttitute for Stem Cell and Regenerative Medicine. The successful applicant will have demonstrated a high degree of motivation, professionalism, experimental acumen, organizational skills, teamwork, and a thirst for knowledge and scientific progress. Experience with animal work is desired but not required. The job responsibility includes designing, conducting, and evaluating experiments, contributing to the group through innovation and collaboration, presenting and publishing research findings, and participating in Departmental and extramural scholarly activities. Candidates with a strong track record of scientific excellence and outstanding communication and technical skills are preferred. Experimental/Lab duties include: Cell culture work - organoid generation and 2D/3D cell culture Microscopy - immunofluorescence and confocal imaging Molecular bench work - basic molecular skills are required (molecular cloning, genome editing, etc.) Data analysis - basic skills in bioinformatics or genomic data analysis are required Contributing to laboratory organization and maintenance Presentations of data in lab meetings and external meetings Preparation of written scholarly reports/publications The successful applicant for this position will be encouraged and guided to apply for various funding opportunities. The base salary range for this position will be: $5,705 per month - $6,667 per month ($68,460 annually - $80,004 annually) commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website. Ph.D. or foreign equivalent degree relevant to biological sciences required. Candidates with a degree in Reproductive, Developmental, Stem cell or Molecular Biology are strongly encouraged to apply. The ability to work independently and as part of a research team is required.

This candidate will focus on benchmarking social intelligence of the AI-native collaboration models and designing socio-cognitive rewards for training. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements Referral Candidates Referral Candidates

1. General - Job Title: UX Researcher II - Type: Contract - Level: Mid -Level - Workplace: Remote - Duration: ASAP to June 30th, 2024, with strong potential for extension. 2. About the job - How can you apply your expertise in UX research to inform product strategy and design decisions? - How do you effectively collaborate with cross -functional teams to incorporate research insights into product development? - Are you experienced in conducting qualitative research for consumer products? - How would you present research findings in clear and compelling ways to key stakeholders? - Are you familiar with user research tools such as UserTesting, dscout, and Qualtrics? Do such questions intrigue you? 3. Summary of the opportunity - Client Overview: We are hiring for a design and research team at a leading technology company, focused on creating new experiences for customers across Windows, Store, Cloud, Devices, and Mixed Reality. - Role Summary: As a UX Researcher II, you will be responsible for conducting user research on the Microsoft Store on Windows and the web. Your insights will inform the product strategy and design explorations of the Store, with the goal of deepening user engagement. 4. What are the key responsibilities? - Responsibilities and Duties: - Understand and prioritize research requests in collaboration with cross -discipline stakeholders. - Use a range of research techniques to inform product and design decisions throughout the product cycle. - Deliver timely and actionable research findings to key stakeholders. - Collaborate with cross -functional teams to incorporate research insights into the product. - Foster customer -centric thinking within design and engineering teams. 5. What experience are we looking for to drive success? - MUST -Have Skills and Qualifications: - Bachelor's degree in human -computer interaction, experimental/social/cognitive psychology, behavioral science, human factors, or a related field. - Minimum 3+ years of industry experience in conducting qualitative research for consumer products. - Proficiency in both qualitative and quantitative research methodologies. - Experience with user research tools such as UserTesting, dscout, and Qualtrics. - Preferred Skills and Qualifications: - Experience in the e -commerce space, including online shopping and payment methods. 6. So calling all top performers - Exciting Opportunity: This role presents an exciting opportunity to contribute to impactful projects and initiatives while honing your skills in UX research within a dynamic technology company. - Competitive Compensation: Competitive hourly rate offered. - Application Process: To apply for this role, please apply online or email your resume, highlighting your relevant experience and qualifications. Please ensure that your application provides accurate information. - About this posting: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment. - Equal Employment Opportunity: We are committed to diversity and inclusion, and we encourage diverse candidates to apply. We have a non -discrimination policy and provide accessibility and accommodation. In conclusion: Don't miss out on this exciting opportunity to join our team and make a meaningful impact! Apply today! Please feel free to drop in your resume at *******************.

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

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 ********************************.

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

IEH Laboratories, a Leader in Food Safety, is now accepting applications for Postdoctoral Research Associate positions at its facility in Seattle, WA. This position will work as part of the R&D team which perform a variety of projects in food science and food microbiology. Ideal candidates will possess the following skill and qualities: - A PhD degree in Food Microbiology, Food Science, or related field (required) - Passion for food microbiology and food science and willingness to do their best to help our clients on their requested projects - Strong written and verbal communication skills - Highly motivated and proactive with strong attention to detail - Strong understanding of aseptic technique in the laboratory The pay range for this position is $78,000 - $80,000 annually (DOE). This is a full-time position 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