Research technician jobs in Olympia, WA

Our team's mission is to empower content interaction and creation using CV related technologies. We focus on cutting-edge R&D in areas like video understanding, multimodal understanding, image and video synthesis, 3D vision and intelligent editing. We are looking for Research Interns in the area of computer vision and machine learning at all levels at TikTok. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. PhD: PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). RESPONSIBILITIES This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to: * Build new features that touch hundreds of millions of people around the world * Solve unique, large-scale, highly complex technical problems * Build the next-generation monetization platform to help millions of customers grow their businesses * Work with your mentor to deliver product features and make engineering improvements * Build world-class web applications that combine usability, accessibility, elegance, performance, and maintainability * Conduct cutting-edge research and development in computer vision, machine learning and other related fields * Work with Research Scientists to deliver advanced technologies to TikTok products Minimum Qualifications: * Able to commit to working for 12 weeks during Summer 2025 * Currently pursuing a PhD in Computer Science or a related technical discipline. * Strong track record of research in one or more areas of computer vision, computer graphics and machine learning, preferring candidates with publications in top-tier venues such as SIGGRAPH/SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR. * Highly competent in algorithms and programming. * Work and collaborate well with team members. * Ability to work independently. * Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: * Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship. * Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. * High levels of creativity and quick problem-solving capabilities. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: *******************************************

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. Your Impact As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco. Minimum Qualifications * Currently enrolled in an undergraduate degree program. Relevant fields include: Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools. * Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy). Preferred Qualifications * Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization. * Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models. * Familiarity with agentic AI concepts, agent frameworks, and related applications. * Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow, PyTorch, or Hugging Face Transformers), as evidenced by academic, project, or professional work. * Understanding of machine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work. ProductIntern26 Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

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 Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit ****************************** **Required Skills:** Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Responsibilities: 1. Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities) 2. Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem 3. Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions 4. Draft and polish research reports and/or publications 5. Present research outcomes to internal and/or external audiences 6. Contribute research that can be applied to Meta product development **Minimum Qualifications:** Minimum Qualifications: 7. Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent 8. Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent 9. Experience in Python, C++, or other related languages 10. 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: 11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP) 12. Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language 13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR) 14. Experience advancing AI techniques in Computer Vision and/or Machine Learning 15. Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources 16. Experience in utilizing theoretical and empirical research to solve problems 17. Experience working and communicating cross functionally in a team environment 18. Intent to return to degree-program after the completion of the internship/co-op **Public Compensation:** $7,650/month to $12,134/month + 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! Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands- everything they need to design and deliver exceptional digital experiences. We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours. The Opportunity Initiates the design, development, execution and implementation of technology research projects. Investigates the feasibility of applying scientific principles and concepts to potential inventions and products. Plans and executes applied research. Maintains substantial knowledge of state-of-the-art principles and theories and may contribute to scientific literature and conferences. May participate in development of patent applications. May coordinate interdepartmental activities and research efforts. What You'll Do * Work towards long-term results-oriented research goals, while identifying intermediate achievements. * Contribute to research that can be applied to Adobe product development. * Help integrating novel research work into Adobe's product. * Lead and collaborate on research projects across different Adobe divisions What You Need to Succeed * PhD degree in machine learning, AI, computer science, statistics, or scene semantic understanding; or equivalent experience required with an expected graduation date of December 2026 - June 2027 * 0-1 + years of experience in specific skill/field(s) * Experience communicating research for public audiences of peers. * Experience working in teams. * Knowledge in a programming language. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $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 **************.

Integrated Resources, Inc is a premier staffing firm recognized as one of the tri-states most well-respected professional specialty firms. IRI has built its reputation on excellent service and integrity since its inception in 1996. Our mission centers on delivering only the best quality talent, the first time and every time. We provide quality resources in four specialty areas: Information Technology (IT), Clinical Research, Rehabilitation Therapy and Nursing. Job Description Job Title: Research Associate - Biology - II Duration: 5 Months Location: Seattle, WA 98102 Description: Plans and executes assigned experiments that support research activities and project goals. Selects appropriate methods and techniques in performing experiments. Collaborates with supervisory personnel to develop research methods. Recommends alternatives, researches new methods and techniques and proactively seeks out others to discuss potential solutions to problems. Participates in group meetings. Presents results of work, interprets data, and draws conclusions regarding presented material and nature of work. Uses good verbal communication skills and interpersonal skills to provide insight into the processes used to achieve results of assigned tasks. Recognize anomalous and inconsistent results and interpret experimental outcomes. Develops skills in data analysis and ability to evaluate quality of data. Additional Information Kind Regards, Sabanaaz Shaikh Clinical Recruiter Integrated Resources, Inc. IT Life Sciences Allied Healthcare CRO Gold Seal JCAHO Certified ™ for Health Care Staffing “INC 5 0 0 0 's FASTEST GROWING, PRIVATELY HELD COMPANIES” (8th Year in a Row)

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

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. Ideally you'd have: Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes. A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.) At least three years of experience addressing sophisticated ML problems, either in a research setting or product development. Strong written and verbal communication skills and the ability to operate cross-functionally. Nice to have: Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents. Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc. Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment. Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$239,400-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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

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

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.

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

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.

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

Snapshot Artificial Intelligence could be one of humanity's most useful inventions. At DeepMind, we're a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority. About Us We aim to enhance Gemini's capabilities to become a truly collaborative partner. User intent is typically unveiled through an ongoing, interactive, and multi-step conversation, rather than a single, isolated prompt. We seek for the model to be able to proactively engage by asking clarifying questions, making timely suggestions, and automatically incorporating relevant context from past interactions and personal data. This challenge is conceptualized as an imperfect information game. The core objective is for the model to deduce a user's hidden goals and preferences through cues provided during a conversation. We plan to utilize advanced Reinforcement Learning methods to optimize for long-term user satisfaction, which necessitates solving intricate credit assignment issues within interactive, stateful environments; model robustness issues; and exploration/exploitation strategies. The techniques you develop will have a direct impact on a wide range of Gemini applications. Key responsibilities: Design and implement novel multiturn RL algorithms to train collaborative LLMs. This includes exploring advanced methods for credit assignment, model robustness, and exploration/exploitation strategies. Develop and scale our training infrastructure, building on our existing framework for training against stateful user simulators. Formalize the problem of collaborativity by creating new metrics, environments, and evaluation methodologies that capture long-term user satisfaction and preference alignment. Do cutting-edge research that pushes the boundaries of how agents learn from interactions with users, user simulators and other agents with diverse model behaviors. Collaborate with research and product teams to integrate these capabilities into core Gemini products, improving tasks that require sustained interaction and user understanding. To make this effort successful, we need a strong RS who can help us deliver state-of-the-art collaborative models. We are looking for a candidate with deep expertise in reinforcement learning and large-scale ML systems. You should be passionate about solving complex, long-horizon problems and excited by the challenge of building truly adaptive and intelligent agents. About You In order to set you up for success as a Research Scientist at DeepMind, we look for the following skills and experience: PhD in Machine Learning, Reinforcement Learning, Natural Language Processing, or a related field. Strong data analysis and synthetic data generation skills. Strong development skills in Python and experience with deep learning frameworks like JAX, PyTorch, or TensorFlow. Experience building and working with large-scale ML training systems. In addition, the following would be an advantage: Deep theoretical and practical experience in Reinforcement Learning (e.g., policy gradient methods, value-based methods, model-based RL, credit assignment, robustness). Experience developing and training large generative models (LLMs). Strong track record of academic publications in top-tier conferences (e.g., NeurIPS, ICML, ICLR, AAAI). Familiarity with research on game theory, multi-agent systems, or learning from human feedback (RLHF/RLAIF). Experience building or using user simulators for RL training. The US base salary range for this full-time position is between $166,000 - $291,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Application Deadline: December 15, 2025 At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

AltPep Corporation is a biomedical company based along Seattle's Lake Union developing groundbreaking disease-modifying treatments and detection tools for amyloid diseases by targeting a novel early molecular trigger: alpha sheet oligomers. Our lead programs focus on Alzheimers and Parkinsons diseases, with other amyloid diseases on the horizon. AltPeps goal is to change the course of these debilitating diseases that affect over a billion people around the globe. AltPep draws its origins to Dr. Valerie Daggett's lab at the University of Washington's Bioengineering Department. We are looking for additional team members to join us at our state-of-the-art, headquarters located on the Eastside of Lake Union in Seattle. About this Role We are seeking a meticulous and dynamic Research Associate to join our team. You will be responsible for conducting and supporting laboratory research, including peptide synthesis, characterization (spectroscopy, biophysical, etc.), formulation activities, bioanalytical (pharmacokinetics) experiments, and stability studies, while ensuring the highest standards of quality and precision. Your contributions will be critical to the success of our research and development efforts, and you will have opportunities to work both independently and collaboratively within our innovative team. What Youll Do: Characterize peptides by UHPLC, mass spectrometry, circular dichroism, etc. Engage in chemical synthesis and peptide modifications to meet research and development objectives. Operate both manual and automated solid-phase peptide synthesis systems. Conduct (prep- and semi-prep) HPLC purification of peptides. Support novel Drug Product formulation development Support bioanalytical experiments and stability studies Troubleshoot and maintain instrumentation to ensure smooth laboratory operations. Maintain rigorous quality of experimental details outlined in Standard Operating Procedures (SOPs). Document research findings meticulously in lab books and records. Work both independently and collaboratively within an innovative team to achieve project goals. Prioritize and organize workflow to manage multiple tasks efficiently. Maintain a clean and orderly laboratory environment. Analyze and interpret data and generate reports Regularly communicate results, in written form and oral presentations, to the rest of the team and occasionally to senior management and in All-Company meetings. What You Bring: Must Haves: Bachelor's degree in chemistry, chemical engineering, biochemistry, bioengineering, or a related field. Experience in instrumental analysis using HPLC, UHPLC, and LC-MS. Ability to conduct quantitative analysis and apply quality control criteria effectively. Meticulous record-keeping abilities and attention to detail. Flexibility to adapt to a fast-paced and dynamic work environment and responsiveness to quick changes in tasks/priorities. Ability to learn rapidly and implement new laboratory techniques as needed Strong organizational skills to manage multiple tasks and prioritize workflow. What Will Separate You From the Rest: 2+ years of post-graduate experience in a relevant field, with previous biotech experience being a plus. Hands-on experience with solid-phase peptide synthesis and HPLC purification. Experience with productivity and scientific software, including ChemDraw /Marvinsketch Familiarity with PubMed and other information sources for pharmaceuticals. Ability to work independently while also valuing team collaboration. Knowledge of Quality Management Systems. Ability to learn and implement new analytical and synthetic chemistry techniques. Effective communication practices with peers and senior personnel. Flexible approach to structure and workflow management. Commitment to maintaining high standards of precision and cleanliness in laboratory work. Debilitating diseases such as Alzheimer's and Parkinson's affect more than a billion people worldwide. Drawing upon decades of academic research, AltPep was founded to create groundbreaking tools to detect and treat such diseases. Although a young company, AltPep has been recognized for its scientific accomplishment and potential. While still small and nimble, we have grown to a team of thirty talented individuals dedicated to improving the lives of billions. We continue to grow and are looking for talented people to join the team and help us accomplish our mission. We offer competitive compensation to those joining our fight. The compensation range for a Research Associate is $78,000 - $88,000, depending on experience. AltPep takes care of its employees and offers generous stock options, medical, vision, and dental coverage for its employees and their dependents. We understand, and value, life outside of work and offer competitive PTO so you can rest and recharge.

At Adaptive, we're Powering the Age of Immune Medicine. Our goal is to harness the power of the adaptive immune system to transform the way diseases are diagnosed and treated. As an Adapter, you'll have the opportunity to make a difference in people's lives. With Adaptive, you'll create a career highlight through collaboration with bright, curious colleagues working at the apex of innovation and application. It's time for your next chapter. Discover your story with Adaptive. Position Overview Adaptive is seeking an exceptional Research Associate I to join a new subsidiary spinout, Digital Biotechnologies Inc. The Scientist will play a critical role in helping to develop a “Next” Next Generation Sequencing (NGS) instrument specifically designed for clinical medicine. Present methods for high-throughput sequencing are not suitable for many clinical applications, as all current NGS platforms lack the combination of high accuracy, rapid turnaround time, and low cost that would lead to robust clinical utility. In collaboration with academic and industry scientists across the country, Digital Biotechnologies is engineering the first solid-state sequencer with the specifications necessary for a widely applicable clinical sequencing instrument. In this role, the Research Associate I, performs assigned experiments or other related work under close supervision, which leverage Digital's novel intellectual property to realize the company's strategic objectives in fundamental science, health care and business development. Key Responsibilities and Essential Functions Synthesis and characterization of inorganic and organic nanomaterials. Routine microscopy (e.g., atomic force microscopy (AFM), transmission electron microscopy (TEM), optical microscopy) and image analysis. Prepare samples following a provided experimental plan. Conduct experiments or other related work based on provided protocols. With guidance, collates and interprets data and synthesizes results into a conclusion. Ability to execute experiments efficiently in a wet lab and suggest process improvements. Recognize patterns or inconsistencies when assessing results and share with supervisor. Position Requirements (Education, Experience, Other) Required Bachelor's degree in chemistry, materials science, nanotechnology, engineering (biomedical, chemical, material), physics, or other related field. Applicants should have 1+ years experience working in a laboratory. Ability to work closely and collaboratively with a team of other researchers. Preferred Experience in nanoparticle, nanomaterials, and/or chemical synthesis. Experience in electron and/or scanning probe microscopy. Experience working with DNA and related molecular biology techniques (e.g., purification, quantification, NGS). Working Conditions Job requires working in a lab and may require handling hazardous chemicals, biological material including blood, bone marrow, and tissue. Work occasionally requires flexible and/or extended hours. Physical Requirements Staff may have to periodically spend extended periods of time standing/sitting within the lab while executing repetitive work, which also includes: Lift Lift >20 pounds occasionally Lift/move large freezers and fridges with the assistance of dollies and carts Occasionally spend Constant work in labs, following all guidelines and protective measures. Compensation Hourly Rate: $26.88 - $40.33 Possible “other compensation” elements to include: equity grant ALERT: Malicious groups posing as Adaptive employees have recently used fraudulent email aliases to extend employment offers, provide fake documents, and request sensitive personal and financial information. Legitimate Adaptive employment opportunities are initiated through our careers page and extended after multiple interviews with verified employees. Adaptive does not ask new hires to purchase anything out-of-pocket, including home office supplies and equipment. Interested in this position, but don't meet all the requirements? Adaptive is committed to building diverse, equitable, and inclusive teams across our organization. Please consider applying even if your experience doesn't match all the qualifications; you may be the exact candidate we're searching for! Adaptive is not currently sponsoring candidates requiring work authorization support for this position. Adaptive's posted compensation information includes a base salary (or hourly rate) range and summary of other available total compensation. The base salary range represents a minimum-to-maximum salary (or hourly rate) available to candidates upon extension of offer. Base salary is thoughtfully considered upon offer and is determined through multiple evaluation checks throughout the interview process, including: a candidate's ability to meet minimum qualifications (skills/experience/education), a candidate's ability to thoughtfully address preferred qualifications, current market conditions, and internal pay equity. Listed base salary is exclusive of bonus, commission, equity, differential pay, benefits, and other incentives. Adaptive's benefits at-a-glance. Adaptive Biotechnologies is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Please refer the “Know Your Rights: Workplace Discrimination is Illegal” Poster for more information. If you'd like to view a copy of the company's affirmative action plan or policy statement, please email **********************. If you have a disability and you believe you need a reasonable accommodation to search for a job opening or to submit an online application, please e-mail accommodations@adaptivebiotech.com. This email is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response. NOTE TO EMPLOYMENT AGENCIES: Adaptive Biotechnologies values our relationships with our Recruitment Partners and will only accept resumes from those partners who have active agreements with Adaptive. Adaptive Biotechnologies is not responsible for any fees related to resumes that are unsolicited or are received by any employee of Adaptive Biotechnologies who is not a member of the Human Resources team.

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world's leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world's deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Ghajar Lab at Fred Hutchinson Cancer Center is searching for a research technician to aid in the conduct of first-in-class studies to profile seeds of metastases in breast cancer patient bone marrow. A research technician position (full-time) is available immediately in a laboratory within Fred Hutchinson Cancer Center's Translational Research Program. The Ghajar Laboratory focuses on understanding the biology underlying disseminated tumor cell (DTC) dormancy and formulating therapeutic means to eradicate dormant DTCs. We are looking for meticulous individual who understands the urgency and importance of our work to join our team to help us understand DTC biology, in part by profiling human DTCs isolated from breast cancer patients. One outcome of this work will be identification of targets for immune-based therapies. Responsibilities Research Technician I This position will work under the Principal Investigator and with the lab to: Keep meticulous records on processed samples, storage conditions and data generated on a large human clinical study. Prepare and present written or oral progress reports concerning studies including assembly, organization, and interpretation of data. Conduct literature reviews to assist in determining most suitable methods to be used in research. Adhere fastidiously to detailed protocols to process human bone marrow, index sort single DTCs, and generate single cell genomic and transcriptomic libraries. Conduct immunohistochemistry and immunofluorescence on human tissue specimens. Organize sequencing data for downstream processing. Assist with follow up experiments in mice and in cell culture to test biologic and immunologic implications of human studies. Perform statistical analyses on resulting data. Perform other duties - including those related to lab management - as required. Research Technician II In addition to the job duties of Research Technician I: Identify methodological problems in research protocol and implement modifications to optimize experimental results. Assist in the design of experiments; may be responsible for the performance of individual research projects. Assist in publication of results by proofreading, editing, and contributing ideas. May perform statistical analyses, write computer programs, or manage research data base Qualifications Research Technician I: Bachelor's degree in related scientific field or equivalent combination of education and experience Demonstrated scientific knowledge in the area of study Demonstrated basic laboratory skills Research Technician II: All minimum qualifications of the Research Tech I, plus: 2 years of experience working in a lab outside of school coursework PREFERRED QUALIFICATIONS: One year contiguous research experience in a biology, biochemistry, or other laboratory during undergraduate tenure. Experience with mammalian cell culture, flow cytometry, genomic approaches, and/or mouse husbandry are preferred. The ideal candidate will be meticulous, self-driven, and excited to participate in this critical work. Research Technician I: The hourly pay range for this position is from $23.33 to $33.21 and pay offered will be based on experience and qualifications. Research Technician II: The hourly pay range for this position is from $27.01 to $38.45 and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance. This position is not eligible for H-1B sponsorship at this time. Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at ******************* or by calling ************.

Sleeper is building the leading platform to connect friends over sports. On Sleeper, fans can check scores, play games, chat, share memes, and more. We have over 10 million fans on our platform worldwide, and we continually add new games and social features to expand the ultimate digital playground for sports fans. Hybrid (2 days): SF Bay Area Remote: California (non-SF), Oregon, New York City, or PST hours, with willingness to relocate full-time About the Design and Research Team We'll jump into any sport or game together-sometimes in the name of “research.” We work hard and play hard, from bi-annual design trips to game-time and company-sponsored fantasy leagues We're customer-obsessed and proud to craft experiences users love If You're Drafted, You'll… Support research projects and help synthesize findings for the team Monitor users' app engagement metrics using internal dashboards Conduct benchmarking and ongoing monitoring of our competitors for updates Help set up and take part in UX quality assurance reviews We're scouting for team players who… Are pursuing a degree in a related field with a graduation date in 2025, or new grad with around 1 or fewer years of experience Understand the fundamentals of user research and have a strong attention to detail Love collaborating and can juggle multiple projects Thrive in a fast-paced environment as a proactive self-starter-at Sleeper, we go above and beyond and sweat the details Have an eagerness to learn and are genuinely curious or passionate about sports Extra points if you… Hold a degree in HCI, information sciences, stats, data analytics, human-centered design, or a related field Have run usability tests-in-person or remote-for mobile apps Are skilled with remote testing tools, surveys, or analytics dashboards Have experience with fantasy sports, daily fantasy, or sports betting-or just a serious passion for football or basketball More about the internship... Join a small cohort of interns collaborating with mentors and senior team members. Get onboarded to our research process and ramp up to full projects, including a capstone. Completing the 12-week program gives you priority for our open full-time roles. Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, our team members found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing - connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. For this role in those locations, a reasonable estimate of the base compensation range for new hires is $20 USD to $32 USD per hour. No overtime work allowed, and the internship will be for 3 months or otherwise negotiated; salary upon potential, full-time conversion will be adjusted and further negotiated. Please note that the compensation range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to ****************. Sleeper is backed by Silicon Valley's top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at ***************