Principal research scientist jobs in Redmond, WA - 917 jobs

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

We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-created a future driven by your inspiration with ByteDance. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' job globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. About the Team Join ByteDance's database development team, where you'll build and own cutting-edge database products supporting Bytedance's global infrastructure. Our diverse portfolio includes relational databases, distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, and multi-model databases. In this role, you'll have the opportunity to enhance these services in a cloud-native environment, embracing a culture of intellectual curiosity, self-direction, and problem-solving. Responsibilities - Design and develop distributed NoSQL databases, with a focus on one of the following: distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, or multi-model databases. - Build high-performance, low-latency, and highly available distributed systems to support mission-critical business operations with scalability and cost efficiency. - Optimize compute and storage engines for cloud-native global deployments, improving efficiency and reducing operational costs. - Provide technical guidance to internal business teams, identifying opportunities for system optimization to improve stability, functionality, and performance. - Collaborate with cross-functional teams to develop robust database products and solutions. - Address technical challenges in cloud service architectures, ensuring scalable solutions for large-scale, high-traffic systems. Final year or recent graduate with a background in software development, computer science, computer engineering, or related technical discipline. Minimum Qualifications: - Ph.D. in Computer Science or related fields with strong database systems or AI research experience. - Proficiency in one or more programming languages (C, C++, Java, Go, Python, Rust) with strong coding skills in a Linux environment. - Deep understanding of database principles, distributed system design, and multi-threaded programming, with hands-on experience in distributed storage and computing technologies. - Strong knowledge of distributed consensus algorithms, with experience in database kernel development. - Practical experience with large-scale cloud-native architectures and distributed system control platforms. Preferred Qualifications: - Publications at top-tier conferences (e.g., SIGMOD, VLDB, NeurIPS, MLSys, ICDE). - Familiarity with popular database systems and source code such as RocksDB, Redis, MongoDB, HBase, TiDB, Neo4j, Elasticsearch, JanusGraph, YugabyteDB, or CockroachDB.

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

At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We're seeking a Research Scientist ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization. **Required Skills:** AI Research Scientist, Robotics Responsibilities: 1. Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence 2. Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.) 3. Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence 4. Develop algorithms based on state-of-the-art machine learning and neural network methodologies 5. Define, build and benchmark new functionality needed for the next generation of AI 6. Conduct research towards long-term product goals while identifying intermediate milestones 7. Lead, plan, and execute novel research based on long-term objectives of the organization **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 9. PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience 10. Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or Large Language Models 11. 5+ years of industry experience in relevant robotics related research areas, such as: Vision Language Models robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) 13. 7+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI 14. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 15. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources 16. Experience building systems based on machine learning and/or deep learning methods 17. Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python 18. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward 19. Experience working with robot simulations and real-world hardware 20. Experience working and communicating cross functionally in a team environment **Public Compensation:** $219,000/year to $301,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

As a Research Scientist (Experimental), you'll be at the heart of our mission-designing, running, and analyzing experiments that push the boundaries of plasma physics and fusion technology. Your work will help us understand complex systems, validate models, and uncover insights that move us closer to sustainable energy. Responsibilities Lead or support experimental campaigns on advanced fusion devices Design and deploy plasma diagnostics (e.g., Thomson scattering, interferometry, spectroscopy, magnetics, neutronics) Analyze experimental and computational data, including error propagation and interpretation Collaborate with engineers to integrate systems and optimize experimental setups Share findings through publications and presentations Qualifications Required Masters in plasma physics, fluid dynamics, turbulence, combustion or closely related field Strong foundation in plasma physics, applied physics, or related fields Hands-on experience with experimental design and data analysis Creative problem solver who thrives in fast-paced, collaborative environments Clear communicator who enjoys turning complex ideas into actionable insights Preferred PhD in plasma physics, fluid dynamics, turbulence, combustion or closely related field Bonus points for expertise in: Fusion plasma diagnostics Pulsed power systems High-voltage instrumentation Liquid metal systems Computational plasma modeling Estimated salary range: $100,000-150,000 annual. Zap Energy also offers the following: Competitive compensation Matching retirement contributions Premium health insurance Flexible vacation and paid company holidays Zap Energy is building a low-cost, compact and scalable fusion energy platform that confines and compresses plasma without the need for expensive and complex magnetic coils. Zap's sheared-flow-stabilized Z-pinch technology offers the shortest potential path to commercially viable fusion and requires orders of magnitude less capital than traditional approaches. Zap Energy has over 60 employees in two facilities near Seattle and is backed by leading financial and strategic investors. Please contact ************************ with any questions. Candidates may be considered for other positions at Zap Energy and actual salary will be based on relevant education, experience, and other qualifications. Range is published in accordance with Washington Equal Pay and Opportunity Act. Zap Energy Inc. is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws and regulations. Questions on this position can be sent to ************************ .

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.

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 -- $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 California, the pay range for this position is $164,800 - $238,600 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 **************.

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.

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.

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

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.

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 Department of Anesthesiology & Pain Medicine has an outstanding opportunity for a Research Scientist/Engineer 4 to join their team.** The Raftery research group focuses on developing new methods and applications of metabolite profiling using a combination of mass spectrometry (MS) and NMR platforms which provide a broad-based approach for biomarker discovery and systems biology research. The main purpose of this position is to analyze the metabolomics data that we generate, as well as complementary, available genomic or proteomic data for several projects focused on understanding the biology of aging. The aging studies focus on numerous organisms, including humans, dogs, flies and through the Nathan Shock Center, mice or other model organisms. The Department of Anesthesiology & Pain Medicine has an outstanding opportunity for a Research Scientist/Engineer 4 to join the Raftery lab to investigate the biology of aging using metabolomics, genomics, and systems biology. This position is at 100% FTE. The RSE4 will need a high level of skill in oral and written scientific communication and extensive knowledge of systems biology, statistics and computational methods. The position will focus primarily on the statistical and pathway analysis of the complex metabolite data, including generating creative and new methods of analysis of the data, but will also involve biological interpretation and assisting other researchers with study design. The Scientist will be responsible for generating draft manuscripts and in assisting with proposal writing. **DUTIES AND RESPONSIBILITIES** **_Research Responsibilities = 70%_** + Consult and coordinate on research efforts and study design with collaborators focused on aging. + Write, develop, and modify data analysis code and workflows. + Perform data transfer, data preparation, and cleanup of high-dimensional experimental data. + Perform advanced statistical analysis of high-dimensional experimental data. + Interpret findings within the biological context. + Contribute experimental hypotheses for new scientific inquiries and novel directions of research. + Assist researchers associated with the Shock Center pilot program by providing scientific feedback to enhance their research objectives. + Participate in and contribute to scientific meetings of the Nathan Shock Center. **_Prepare analytic results for reports, publications, and presentations = 30%_** + Initiate and/or contribute to the scientific writing of peer-reviewed publications. Contributeto scientific writing for grant applications. Communicatewith collaborators and the larger scientific community via research presentations. **MINIMUM REQUIREMENTS** + Master's degree in Genetics or Biochemistry and four years of relevant experience _Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration._ **A** **D** **DITIONAL REQUIREMENTS** + This position requires extensive systems biology, statistics, and computational methods knowledge as well as knowledge in the biology of aging. + A high level of skill in oral and written scientific communication, including presenting at national and international conferences, and authorship and co-authorship of publications and grants. + Extensive knowledge of statistical methods including multivariate and univariate analysis of large data sets, learning and predictive modeling, network analysis, and probabilistic approaches to test theories and develop hypotheses in systems biology. + Systems biology knowledge requires a foundation in biology ranging from a detailed understanding of genetics, biochemistry, and molecular biology to whole organism physiology, development, and population demography. Those elements are utilized in developing and testing theories of aging and other biological phenomena using high-dimensional metabolomics, genomics, knowledge-based networks, and other data type. **DESIRED QUALIFICATIONS** · This position is best served by someone who can work independently to facilitate collaboration between investigators working across different fields of aging, biology and chemistry. · A fundamental understanding of mass spectrometry and chemical analysis is highly desired as it greatly increases the breadth of collaborations with the UW Northwest Metabolomics Research Center. **Compensation, Benefits and Position Details** **Pay Range Minimum:** $99,996.00 annual **Pay Range Maximum:** $120,000.00 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 regular position **FTE (Full-Time Equivalent):** 100.00% **Union/Bargaining Unit:** UAW Research **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 (********************************************************* . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

Job Description SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are looking for a creative and motivated individual to execute and improve our Computational Protein Design pipeline using data-driven approaches to augment our first-in-class multi-specific biological programs. The ideal candidate will have experience applying computational methods to design novel peptides and proteins, with expertise in structural modeling, prediction, and optimization. Responsibilities: Execute a computational design pipeline for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements via data-driven approach Drive assay validation, tech transfer, and development initiatives to maintain industry standards; Contribute within the computational protein design group to operate yeast display-based protein discovery platforms Design new macromolecular therapeutics using structural and sequence analysis, and employ these in silico predictions to iteratively guide the lead development process Analyze, interpret, document, and present data to the scientific and leadership team Collaborate with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams to contribute to the company's vision Qualifications: PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related field 8+ years of experience using yeast libraries to generate protein binding or therapeutic antibodies required Experience with relevant macromolecular modeling software (e.g., AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Gromacs, MOE, Schrödinger) Expertise in screening and ranking of antibodies (ELISA, multi-parametric flow cytometry, BLI/OCTET) Proven contribution to therapeutic antibody development and selection is desirable; design and validation of novel biologically relevant antibodies are highly desirable Compensation and Benefits: The expected base salary range for this position is $80,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply. Powered by JazzHR zwtspfch CM

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are looking for a creative and motivated individual to execute and improve our Computational Protein Design pipeline using data-driven approaches to augment our first-in-class multi-specific biological programs. The ideal candidate will have experience applying computational methods to design novel peptides and proteins, with expertise in structural modeling, prediction, and optimization. Responsibilities: * Execute a computational design pipeline for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements via data-driven approach * Drive assay validation, tech transfer, and development initiatives to maintain industry standards; Contribute within the computational protein design group to operate yeast display-based protein discovery platforms * Design new macromolecular therapeutics using structural and sequence analysis, and employ these in silico predictions to iteratively guide the lead development process * Analyze, interpret, document, and present data to the scientific and leadership team * Collaborate with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams to contribute to the company's vision Qualifications: * PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related field * 8+ years of experience using yeast libraries to generate protein binding or therapeutic antibodies required * Experience with relevant macromolecular modeling software (e.g., AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Gromacs, MOE, Schrödinger) * Expertise in screening and ranking of antibodies (ELISA, multi-parametric flow cytometry, BLI/OCTET) * Proven contribution to therapeutic antibody development and selection is desirable; design and validation of novel biologically relevant antibodies are highly desirable Compensation and Benefits: The expected base salary range for this position is $80,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the limits. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. Our team rewards curiosity while maintaining a laser‑focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup‑like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. We are seeking a Principal Applied Scientist working on machine learning applications in life sciences. This role combines scientific leadership with hands‑on innovation, driving solutions from exploratory research through production‑ready solutions deployment, while maintaining high scientific standards. You will work with Amazon's large‑scale computing resources to accelerate advances in machine learning applications. Key job responsibilities Lead ML for life science efforts using computational design approaches and ML‑based tools. Guide teams in applying SOTA ML methods, experimentation design, and modeling approaches. Transform complex real world problems into scientific challenges and allocate resources effectively. Review requirements, conduct technical architecture reviews, and make informed judgments around technical and business tradeoffs. Provide mentorship to Applied Scientists, Research Scientists and Data Scientists while maintaining scientific rigor. Collaborate with cross functional teams. Basic Qualifications Deep expertise in machine learning, with broad knowledge across biology and life science. Strong understanding of scientific methodologies and experimental design. Ability to develop production‑level code and systems. Track record of working with cross‑functional scientific teams and fostering collaboration. 10+ years of relevant, broad research experience after a PhD degree in computer science, computational biology or relevant field. Preferred Qualifications Experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with high‑performance computing environments. Experience with ML for science and structural biology tools. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. #J-18808-Ljbffr

Understanding biological structure is central to deciphering the mechanisms of life and advancing drug design. We are developing next-generation, structure-centric, multimodal foundation models that power key applications-from complex structure prediction and functional modeling to de novo molecular design. We are a cross-disciplinary team of experts in machine learning, structural biology, computational chemistry, and bioinformatics, supported by strong engineering infrastructure and access to large-scale compute resources. We aim to develop open, high-precision, generalizable models that drive breakthroughs in biology and drug discovery. Responsibilities: 1) Collaborate closely with a multidisciplinary team of ML researchers, computational biologists, and chemists to tackle cutting-edge scientific challenges in molecular modeling. 2) Develop and optimize large-scale models that integrate diverse biological modalities (e.g., sequences, 3D structures, molecular properties) to address complex biomolecular challenges-ranging from conformational landscape modeling to interaction and binding affinity prediction, and design of proteins and small molecules. 3) Stay current with advances in machine learning and proactively integrate cutting-edge techniques into our biomolecular models. What We Offer 1) A collaborative, impact-driven environment at the intersection of biology and AI. 2) Access to cutting-edge compute infrastructure and proprietary tools. 3) Opportunities to contribute to open science and transformative technologies in drug discovery. Minimum Qualifications: 1) PhD in Computer Science, Machine Learning, Computational Biology, or a related technical field. 2) 1~5 years of research or industry experience applying deep learning to real-world problems, ideally involving scientific or multimodal data. 3) Strong research background in deep learning, with a publication record in areas such as NLP, computer vision, generative modeling, reinforcement learning, or biological applications. 4) Proficiency in Python and ML frameworks such as PyTorch. 5) Proven ability to independently drive research ideas from concept to working prototype. 6) Deep intellectual curiosity and a proactive approach to engaging with unfamiliar scientific problems and disciplines.

Business UnitWhat the Role EntailsJob Responsibilities: We are building large-scale, native multimodal model systems that jointly support vision, audio, and text to enable comprehensive perception and understanding of the physical world. You will join the core research team focused on speech and audio, contributing to the following key research areas: Develop general-purpose, end-to-end large speech models covering multilingual automatic speech recognition (ASR), speech translation, speech synthesis, paralinguistic understanding, and general audio understanding. Advance research on speech representation learning and encoder/decoder architectures to build unified acoustic representations for multi-task and multimodal applications. Explore representation alignment and fusion mechanisms between audio/speech and other modalities in large multimodal models, enabling joint modeling with image and text. Build and maintain high-quality multimodal speech datasets, including automatic annotation and data synthesis technologies. Who We Look For Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Linguistics, or a related field; or Master's degree with several years of relevant experience. Solid understanding of speech and audio signal processing, acoustic modeling, language modeling, and large model architectures. Proficient in one or more core speech system development pipelines such as ASR, TTS, or speech translation; experience with multilingual, multitask, or end-to-end systems is a plus. Candidates with in-depth research or practical experience in the following areas are strongly preferred: Speech representation pretraining (e.g., HuBERT, Wav2Vec, Whisper) Multimodal alignment and cross-modal modeling (e.g., audio-visual-text) Experience driving state-of-the-art (SOTA) performance on audio understanding tasks with large models Proficient in deep learning frameworks such as PyTorch or TensorFlow; experience with large-scale training and distributed systems is a plus. Familiar with Transformer-based architectures and their applications in speech and multimodal training/inference. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $122,500.00 to $229,700.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.