Research fellow jobs in Olympia, WA - 433 jobs

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

About Team: With the fast growth of Bytedance's business, Bytedance's system infrastructure is currently at a massive scale and requires versatile system solutions. Our lab collaborates with HQ teams on advanced R&D projects, focusing on LLM/AI + Infrastructure technologies, which includes both infrastructure for LLM/AI and LLM/AI for infrastructure. To name a few, we are building a new cloud-native vector index library. Our TextToSQL project ranks top on well known industry benchmarks. We also work on advanced AIOps technologies that are used by our Volcano cloud products. Besides achieving great business impacts, we also encourage publishing on top tier conferences. In year 2025 alone, our lab published nearly 20 papers in top tier conferences, such as SIGMOD, VLDB, FSE, ICLR, EuroSys, WWW etc. We hire students with great technical skills, willingness to learn and solve complex technical challenges and passion in making an impact on millions of users. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume Responsibilities: - Do research surveys and come up with a new system and algorithm design. - Develop new systems and successfully land them into production environments - Be able to debug systems and measure system performance. - Collaborate with mentors and other lab members. - Write technical reports and publish papers. Minimum Qualifications - Currently pursuing a PhD degree in Computer Science or related fields - Understand how distributed systems work, such as distributed storage and database systems. - Great programming skill in one or more of the following programming languages: C/C++, Go, Java or Python - Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: - Strong past research experience in infrastructure system areas - Research experience with AI and LLM - Strong publication records

Meta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist.As a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as PyTorch, TensorFlow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance.This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity. **Required Skills:** Research Scientist, Machine Learning (PhD) Responsibilities: 1. Proactively identify and drive changes as needed for your assigned codebase, product area and/or systems 2. Build strong cross functional partnerships and code deliverables 3. Suggest, collect and synthesize requirements and create effective feature roadmaps 4. Perform specific responsibilities which vary by team **Minimum Qualifications:** Minimum Qualifications: 5. Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Engineering or relevant technical field. Degree must be completed prior to joining Meta 6. 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 7. Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent 8. Proven experience to translate insights into business recommendations 9. Experience building and shipping high quality work and achieving high reliability 10. Experience in systems software or algorithms 11. Experience programming in a relevant language 12. Experience identifying, designing and completing medium to large features independently, without guidance 13. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub) 15. Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields 16. Experience with programming languages such as Python, R, MATLAB 17. Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR or similar 18. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward 19. Interpersonal experience working and communicating cross functionally in a team environment 20. Exposure to architectural patterns of large scale software applications **Public Compensation:** $58.65/hour to $181,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

HIRING ASAP! If interested in more information/direct feedback, please reach out to me directly at ghilson@actalentservices. com and attach your resume and contact information. * BENEFITS:YES * PAY: $60-63 an hour depending on experience * SCHEDULE: Hybrid/Remote flexibility (when converted, it is fully onsite) Job Description: * Design and execute research projects to improve workplace experience. * Generate and analyze surveys; design upfront research to answer business questions. * Triangulate sentiment-based data with operational data (sales, occupancy). * Develop analysis plans and utilize various platforms for data analysis. * Collaborate with other research scientists and stakeholders. * Work independently with flexible scheduling (minimum 30 hours/week). Typical Tasks: * Define core projects and hypotheses. * Create surveys for new datasets; collaborate on existing datasets. * Perform heavy analysis and usability testing. * Weekly syncs with research scientists; optional biweekly team meetings. MUST HAVES: * PhD or Master's degree + 4+ years of quantitative field research experience. * Strong coding skills: SQL required; ability to use Python/R or similar for data analysis * Experience designing and developing surveys * Experience applying scientific principles to business problems and analyzing experimental/observational data sets NICE TO HAVES: * Experience with large datasets. * Familiarity with AWS tools. Job Type & Location This is a Contract position based out of Seattle, WA. Pay and Benefits The pay range for this position is $60.00 - $63.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Seattle,WA. Application Deadline This position is anticipated to close on Jan 29, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

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

Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities. In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities. Design and experiment new approaches to preference optimization. Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness. Publish research findings in top-tier AI conferences. Ideally you'd have: Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field. Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning. Excellent written and verbal communication skills Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$252,000-$315,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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

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

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

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

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

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

A Postdoctoral Research Associate position is available in the Lacy-Hulbert Laboratory in the Center for Systems Immunology at Benaroya Research Institute. Research in the laboratory focuses on mechanisms of regulation of the innate immune system and how defects in these processes impact immune-mediated diseases such as Inflammatory Bowel Disease (IBD) and systemic autoimmunity. The open position focuses on the study of integrin-mediated activation of TGF-beta in the gut mucosa and intestinal epithelial cell biology, particularly in the context of IBD pathogenesis. The laboratory uses a range of approaches, including in vivo and ex vivo mouse models, primary human cell culture, and in vitro organoid cultures. Responsibilities Responsibilities include conceptualizing and executing experiments, data analysis, laboratory record keeping, and oral and written presentation of experimental results. The research associate will be expected to work collaboratively with other staff members in discussing projects, implementing experiments and preparing manuscripts and grant applications. The position may involve oversight/supervision of technicians or graduate students. Qualifications A PhD in immunology or related field with a deep understanding of mucosal immunology is required. Expertise working with primary human cells, intestinal tissues/organoids, murine models of intestinal inflammation, multi-dimensional flow cytometry, and assay development is desired. Experience with bioinformatics analysis is preferable but not essential. Applicants with good organizational and analytical skills are encouraged to apply. Applicants with 2 years or less of postdoctoral experience preferred. Compensation $80,182 - $83,000 per year; depending on years of postdoctoral experience. Benefits Medical, dental, vision insurance Flexible spending accounts: health care, dependent care, commuter Short and long-term disability Life and AD&D insurance 403(b) retirement plan with matching funds after one year of employment 13 holidays, 3 weeks of vacation and 2 weeks of sick leave per year Employee assistance program Educational assistance program Subsidized ORCA pass Wellness benefits Voluntary benefits About Us Benaroya Research Institute (BRI) has a bold mission: to advance the science to predict, prevent, reverse and cure immune system diseases, from autoimmune disease to cancer to asthma and allergies. We create detailed pictures of the immune system in health and disease, aiming to understand how disorders start and how to rebalance the immune system back to health. Equipped with innovative tools and robust biorepositories, our team chips away at the biggest mysteries behind these conditions to work toward our vision of a healthy immune system for everyone. BRI is a nonprofit research institute based in Seattle and affiliated with Virginia Mason Franciscan Health. We collaborate with clinicians and patients to accelerate the path from innovative lab discoveries to life-changing patient care. At BRI, each individual is valued as an important contributor to our vision and mission. Consider making a difference by joining our team. Because together, we are powering possibility. To learn more, visit benaroyaresearch.org and connect with us on LinkedIn, Bluesky, Instagram, Threads, Facebook and YouTube. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. If you need an accommodation or assistance completing the online application, please contact Human Resources at ************ or email *************************. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

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

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. Additional Information All your information will be kept confidential according to EEO guidelines.

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

The application window is expected to close on: 01/16/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the Code Generation group, where we work on automating the code generation process using GenAI techniques. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience, designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration, all within a flexible, growth-oriented environment. Your Impact As a Staff Applied Scientist, you will: Design, build, and deploy advanced AI models for intelligent code generation, contributing across model architecture, experimentation, evaluation, and integration into production systems. Push the boundaries of agentic GenAI by developing models that not only generate code but also reason, plan, self-correct, and interact with tools, APIs, and execution environments to improve reliability and usability. Enhance code-generation capabilities for DSLs and structured languages, helping shape the next generation of developer experiences powered by LLMs in both interactive and automated workflows. Optimize training and inference workflows through efficient data pipelines, distributed training strategies, and model-level performance improvements to ensure low latency, high accuracy, and cost-effectiveness. Partner closely with engineering and product teams to ensure research outcomes are aligned with customer needs and translate into scalable, high-impact product features. Contribute to the scientific culture of the team, sharing best practices in rigorous experimentation, reproducibility, evaluation design, and documentation. Participate in long-term AI innovation by identifying emerging opportunities, proposing new directions, and shaping roadmap priorities in collaboration with research and engineering leaders. Minimum Qualifications PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field with 2+ years of industry or post-doctoral research experience; or a Master's degree with 6+ years of relevant applied ML or research experience. Demonstrated expertise in at least one of the following: Large language models for program synthesis, code understanding, or formal languages Multi-step planning or agentic AI for developer workflows Strong programming proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Experience translating research prototypes into production systems, including deployment, optimization, and performance evaluation. Working knowledge of experimental design, benchmarking, reproducibility, evaluation metrics, and scientific documentation. Preferred Qualifications LLMs for Code Generation - Experience training, fine-tuning, or adapting models such as Code-LLaMA, CodeT5, StarCoder, or GPT-based code models for program synthesis, bug fixing, refactoring, test generation, static/dynamic analysis, or domain-specific languages (DSLs). Domain-Specialized Modeling - Experience building models for structured languages such as SQL, DSLs, configuration languages, or proprietary query/automation languages. Agentic AI & Tool Use - Experience developing systems where models plan, call tools/APIs, self-correct, or execute code iteratively to improve output quality. Structured Reasoning & Planning - Familiarity with techniques such as chain-of-thought prompting, constrained decoding, self-debugging, or reinforcement learning for code-centric tasks. Large-Scale Training & Optimization - Experience with distributed training or inference optimization (quantization, LoRA, batching, caching) to improve latency, cost, and accuracy trade-offs. MLOps & Continuous Evaluation - Exposure to automated retraining, dataset versioning/curation, evaluation harnesses, and reliability monitoring for ML models in production. Research Visibility - Publications in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL, AAAI, KDD) and/or meaningful contributions to the LLM/code-gen research community (open-source, tools, datasets, or benchmarks). 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:The starting salary range posted for this position is $193,800.00 to $245,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. 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: $212,300.00 - $317,100.00 Non-Metro New York state & Washington state: $193,800.00 - $282,100.00 * 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.

Talus Bioscience, a venture-backed early-stage biotechnology company, is at the forefront of developing innovative therapies for incurable cancers. Driven by the belief that "nothing is undruggable," we harness cutting-edge proteomics and AI during the initial stages of discovery to unlock previously inaccessible targets in cancer. At Talus Bio, we combine functional proteomics, automated biology, and machine learning to target hard-to-treat transcription factor proteins driving cancer. Exciting opportunities await at Talus Bio - your chance to be part of something transformative! Research Associate II Job Description Talus Bio is looking for a Research Associate II (RA II) to join our Biology / Drug Discovery team full-time in our Seattle office (this is an in-person role). This person will be naturally curious, results-driven, and eager to work in a small preclinical biotech environment. The person in this role will play a key role in supporting our drug discovery programs targeting transcription factors implicated in cancer, working closely with a multidisciplinary team of scientists to design, execute, and analyze experiments, providing critical data to advance our lead compounds through preclinical stages. This role is part of a pioneering team contributing to the development of innovative cancer therapies from the ground up. This role will assist with hit validation from our primary screens, primarily through running multiplex RT-qPCR and other assays as viability or reporter assays. It will involve extensive optimization, assay development, and medium-throughput testing and work on multiple projects simultaneously. Responsibilities Conduct laboratory experiments to support the discovery and characterization of small molecules targeting transcription factors in cancer. Perform cell-based assays (e.g., cell viability, apoptosis, and reporter assays) to evaluate compound efficacy and mechanistic effects on transcription factors. Utilize molecular biology techniques (e.g., PCR, RT-qPCR, CRISPR, RNAi) to analyze gene expression and validate targets Contribute to the design, optimization, and execution of assays for high-throughput screening and compound profiling. Maintain detailed and accurate laboratory notebooks and records in compliance with company policies. Collaborate effectively with team members to solve technical challenges and streamline workflows. Stay current on relevant literature and emerging technologies in cancer biology, transcription factor research, and drug discovery Ability to multitask and advance multiple projects at different stages simultaneously from assay development to compound screening Maintain complete, timely, and accurate records of all experiments performed, including experimental design, procedures, and data analysis Analyze/interpret experimental data and communicate the results and recommendations to other team members (oral and written formats) Must be highly-motivated and able to work independently QualificationsRequired Bachelor's degree in Molecular Biology, Biochemistry, Cancer Biology, or a related field Minimum of 3 years of laboratory experience with cell culture techniques and handling cancer cell lines, including a minimum of 2 years of hands-on research experience running RT-qPCR assays (including selection and custom-design of oligos). Alternately: Master's degree with at least 1 year of experience in a similar role Preferred Prior experience in drug discovery, especially with transcription factor targets in cancer. Familiarity with high-throughput screening assays and/or experience in hit-to-lead workflows. Familiarity with cell-based assays (e.g., cell viability, reporter assays for evaluating compound effects. Working knowledge of data analysis software (e.g., GraphPad Prism, Excel) and basic statistical methods. This position is only open to applicants that are legally authorized to work in the US. A cover letter is required to be submitted with the CV for all applicants. Our Commitment to Diversity & Inclusion Talus Bio is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Talus Bio to better meet our mission and serve healthcare communities around the world. We recognize that opportunities in the life sciences have historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We welcome all people including cisgender, transgender, agender, and intersex and are inclusive of non-binary folx. We strongly encourage individuals with these identities to apply. Salary and Benefits The salary range for this position is $80,000 - $90,000 per year. Despite being a small early-stage biotech, Talus Bio's first priority is the safety and wellbeing of all our employees and their families, both inside and outside of the lab. As part of this commitment, we have put a great deal of thought and care into developing a cost-effective and comprehensive benefits package for our team. Our benefits package includes but is not limited to the following: Medical/dental/vision insurance coverage with 100% company-paid premiums for employees and 50% company-paid for dependents $124/month commuter and transportation reimbursement program 401(k) plan with a 4% Talus Bio contribution (regardless of employee contribution) Basic Life and AD&D insurance coverage with 100% company-paid premiums Short- and Long-Term Disability insurance coverage with 100% company-paid premiums Paid sick leave (52 hours/year) 4 weeks of paid time off PLUS a paid end-of-year shutdown between Christmas Day and New Year's day 10 paid holidays Weekly meals, snacks, and drinks Flexible working hours Flexible working environment and schedule Yearly company retreat and quarterly company events Our Commitment to Diversity & Inclusion Talus Bio is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Talus Bio to better meet our mission and serve healthcare communities around the world. We recognize that opportunities in the life sciences have historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We welcome all people including cisgender, transgender, agender, and intersex and are inclusive of non-binary folx. We strongly encourage individuals with these identities to apply. Talus Bioscience, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Job Posted by ApplicantPro

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.