Associate scientist jobs in Washington - 1,354 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.

Materials Lab Forensics Scientist- EIT or PE Engineer About KE|AD Building Consultants KE|AD is a dynamic and multi-layered engineering and architectural consulting firm based in Seattle, WA and Honolulu, HI. Our team of architects, engineers and construction administrators provide services across a variety of industries, including legal, insurance, multi-family, building envelope, plumbing and HVAC and construction administration. Our KE|AD team includes architects, mechanical engineers, structural engineers, materials engineers and construction administrators. KEAD is a tight knit team that takes pride in tackling tough cases and providing high quality results for our clients. Our engineering and architectural expertise includes but is not limited to forensics evaluation/investigation, compliance, Mechanical - Electrical-Plumbing Design (MEP), management support consulting, repair & design. KEAD's primary consulting focus is investigation/evaluation and repair, with a secondary focus of design. We tackle design projects on a case-by-case basis that fit the expertise and resource capacity of our firm. Job Details Overview and Responsibilities KEAD is seeking a qualified person with between 0 -10 years of education / work and team experience for our Seattle office. This position will focus on providing project and technical support regarding materials investigation to project leads throughout the organization. Duties include usage and maintenance of our materials lab's equipment, collection and organization of test data, writing technical reports, design and inspection support for some of our MEP, crane or structural projects as well as managing assigned projects as a Project PM. This position includes 10-20% travel which is mostly local. You will be working in a consulting environment with varying levels of responsibility and a wide variety of technical tasks. Every day will bring something new to learn and you will be challenged on a regular basis. A typical say will be answering “Why did this fail?” or How long till it fails?” You will be a key player among a team of supportive and cross-functional engineers who value each other's opinions and strive to make each day productive and fun. The hired candidate will be responsible for: • Site and laboratory work • Visual inspection/observation • Testing (destructive and nondestructive) • Proper utilization and maintenance of shop, testing, and analytical tools equipment • Documentation (photo, video, notes, checklists) • Forensic documentation • Multimedia/video setup for remote inspections • Learning inspection, testing, and documentation procedures quickly and executing with confidence. • Clear, proactive, and confident communication with clients and team while on site, especially in a forensic case • Creation of field, observation and findings reports• Data organization, analysis, and development of spreadsheets • Input for proposal estimates based on your scope of responsibility • Manage project life cycle for all material engineering projects and some construction defect and cross functional forensic projects • Manage proposal/contract execution and receipt of client documents Minimum Required Experience and Qualifications: • US Citizenship or current legal work status required • No felony convictions, drug convictions, restraining/protective orders or domestic violence convictions. • Minimum bachelor's degree in Civil, Mechanical, or Materials Engineering from an ABET accredited school with a Materials Science focus or experience • FE Examination Certificate from NCEES and EIT status• Research / Laboratory experience involving materials or engineering testing • 0-10 years of work with a technical team • Experience performing metallurgical analysis using tensile tester, hardness tester • Metallographic Microscope • Metallographic preparation equipment including cutting, grinding and etching processes. • Microscopy including digital (Keyence preferred) and optical methods • Durometers • Handling of Chemicals used in etching and surface preparation for inspection • Experience testing a variety of materials such as metals, plastics, construction materials. • Experience interpreting ASTM, ASME and ISO testing procedures .• Experience authoring test procedures and handling protocols • Proficient with MS Office products (Word, PowerPoint) • Analysis level expertise with MS Excel Preferred Experience: • WA State P.E. or Other US State P.E. • 1-10 years of Lab Experience • SEM equipped with Energy Dispersive X-ray Spectroscopy (EDX/EDS) • FTIR (Fourier Transform Infrared Spectroscopy) • Knoop and Vickers Micro Hardness Testers • Experience working on or around mechanical systems (plumbing, HVAC, engines, heavy equipment, industrial equipment, vehicles, airplane, boats, Maker, robotics, etc) - Hands on! Tell me what you worked on!!!! • Working knowledge of firearms including safe handling and design principles • Experience working on or around industrial and/or construction sites • Experience working with materials including metals & alloys, aggregates, composites, plastics and ceramics • Basic fabrication skills including sawing, welding, milling, turning additive manufacturing and use of power tools • Established experience working with NDT equipment • Project & time management skills • Working knowledge of MS Project for managing projects and reporting • CAD Software proficiency with SolidWorks or AutoCAD • Leadership skills • Ability to grow and maintain relationships and trust with past, existing and new clients

About the Team The future of e-commerce customer service is intelligent, efficient, and AI-driven. Our team is dedicated to replacing traditional human-agent customer service with an advanced AI-powered conversational system that provides instant, intelligent, and seamless support for TikTok's global e-commerce platform. By leveraging Large Language Models (LLMs) and NLP, we are building an AI customer service system that can understand user queries, resolve disputes, guide transactions, and enhance the overall shopping experience without the need for human intervention. Our cutting-edge AI is designed to handle complex customer interactions, including answering product inquiries, resolving order issues, processing refunds, and assisting sellers with operational tasks. Through LLM post-training, we ensure that our AI assistant is continuously learning and improving, providing more accurate, context-aware, and human-like interactions. By joining us, you will be at the forefront of transforming customer service in e-commerce, helping build an AI system that understands, adapts, and provides intelligent solutions-all while reducing costs and improving efficiency for merchants and the platform. What You Will Do * Develop AI-Powered Customer Service Systems: Design and implement an AI-driven conversational customer service agent that can handle e-commerce inquiries, complaints, refunds, dispute resolutions, and logistical issues, replacing traditional human customer service agents. * LLM Post-Training & Data-Efficient Learning: Apply state-of-the-art LLM post-training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses with minimal labeled data. * Benchmark and training data construction: Identify challenging customer service interactions, such as policy clarifications, dispute handling, and multi-turn complaint resolution, and construct specialized datasets to enhance AI training. * Develop Multilingual Customer Support: Build AI models capable of handling customer service interactions across multiple languages and cultural contexts, ensuring accurate translation and appropriate responses for a diverse global audience. * Optimize Model Efficiency & Deployment: Work on model compression, quantization, and efficient inference techniques to ensure the AI customer service assistant can run at scale with low latency and high reliability. Responsibilities * Develop AI Customer Support Systems: Build and optimize AI-driven customer service models capable of handling high-volume, complex user inquiries while ensuring high response accuracy and reliability. * Enhance LLM-Based Customer Interaction Models: Implement LLM post-training strategies to improve customer support interactions, reducing errors, hallucinations, and irrelevant responses. * Create Automated Dispute Resolution & Policy-Adaptive AI: Develop intelligent models capable of handling disputes, verifying transaction details, and ensuring platform compliance in automated responses. * Develop Multilingual Support & Translation Models: Enhance the platform's AI translation capabilities for real-time multilingual customer service interactions, ensuring smooth cross-language communication. * Refine Response Evaluation Metrics: Define and implement quality evaluation metrics for AI-generated responses to track customer satisfaction and improve conversational AI quality through A/B testing and iterative optimization. * Enable AI-Seller Collaboration: Build AI-powered seller assistance tools to help merchants quickly respond to customer inquiries, manage store operations, and resolve disputes efficiently. * Optimize Large-Scale Model Deployment: Work on model compression, inference optimization, and edge AI deployment to ensure real-time, high-quality customer service experiences at scale. Join us and be part of the next-generation AI customer service revolution-where AI replaces traditional human support, making e-commerce interactions smarter, faster, and more seamless for millions of users worldwide!Minimum Qualifications: * Bachelor's degree in Computer Science or related technical field * 3+ working experience in one of the following fields: machine learning, NLP, and computer vision * Experience with software development in at least one of the following programming languages: C++, Python, Go, Java Preferred Qualifications * LLM Development & Post-Training Expertise: Experience in fine-tuning, distillation, or reinforcement learning of large language models for conversational AI applications. * Multilingual AI Development: Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling. * E-commerce Business Acumen: Understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to enhance AI service design. * Advanced NLP & Deep Learning: Strong grasp of AI agents, retrieval augmented generation, mixture of experts, sparse attention, reinforcement learning, inference time scaling etc. for improving AI dialogue quality. * Scalability & Efficiency: Experience in distributed model training, low-latency inference, and edge AI for large-scale customer service applications. This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Our team, part of Apple Services Engineering, is looking for an Applied Scientist to lead the design and continuous development of automated benchmarking methodologies for AI-powered code assistant tools. In this role, you will investigate how coding-focused LLM agents behave, create rigorous evaluation frameworks, and establish scientific standards for assessing their quality and reliability. This role is crafted to enable the development of scalable evaluation frameworks that ensure our engineers have the right tools to create products that surprise and delight our customers. The successful candidate will have a proactive approach with the ability to work independently and collaboratively on a wide range of projects. In this role, you will work alongside a small but impactful team, collaborating with ML and data scientists, software developers, project managers and other teams at Apple to understand requirements and translate them into scalable, reliable, and efficient evaluation frameworks. Publications in ML evaluation or related fields. Experience with automated testing frameworks. Experience constructing human-in-the-loop or multi-turn evaluation setups. Prior work on agentic developer tools. Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience. Strong research background in empirical evaluation, experimental design, or benchmarking. Strong proficiency in Python. Intermediate proficiency in Swift. Deep familiarity with software engineering workflows and developer tools. Experience working with or evaluating AI/ML models, preferably LLMs or program synthesis systems. Strong analytical and communication skills, including the ability to write clear reports.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities As Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), natural language processing (NLP), multimedia understanding and so on. You'll work on diverse projects that enhance Prime Video's recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include: • Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges. • Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization. • Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability. • Actively participate in publishing your research in leading conferences and journals. • You will shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership • Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives. About the team At Prime Video, we strive to deliver the best-in-class entertainment experiences across devices for millions of customers. Whether it's developing new personalization algorithms, improving video content discovery, or building robust media processing systems, our scientists and engineers tackle real-world challenges daily. You'll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged. - Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,400/year in our lowest geographic market up to $212,800/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.

Job DescriptionAbout us Today's financial system is built to favor those with money. Grid's mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more. Grid is a fast-growing team that's deeply passionate about making a difference in the lives of millions. We're solving huge problems and believe that every team member has a big role to play. Come join our growing team in our brand new Seattle office! The role We're adding an Applied Scientist to our team to help us build and scale our core product lines. You'll work closely with product, engineering and business leaders to make a difference with data. With access to multiple robust datasets and clear research objectives, you'll have a significant impact on Grid's progress as a business-as well as our users' happiness and success. Projects will include fraud detection, prevention and mitigation in novel arenas, such as risk underwriting for various lending/advance programs; predictive analytics to drive our payout and repayments systems; and more. The team We're focused on serving our users and building a robust product and business above all else. To this end, Grid's team members experience high levels autonomy and ownership, and as a company we value curiosity, learning and growth. As an Applied Scientist, you'll have an opportunity not only to identify key leverage points for our data products, but also to set the standard for Grid's statistical inference and machine learning practice. The tech stack Our backend tech stack is based on Python, GCP, Go, protobufs, BigQuery and MySQL. We have built our platform from the ground up to optimize for clean data sources, and we have made numerous investments into data warehousing, streaming analytics infrastructure and offline data cleanliness. As a result, we think Grid is positioned for efficient and powerful applied science.What you'll do Research & Analysis: Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources Model Development: Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc. Deployment & Iteration: Iterate on new and existing models based on feedback from team and real-world performance Productionization: Collaborate with data engineers, product managers to help translate your work into production-grade, high scaled data products Present Findings: Present your findings and communicate with members of the team with varying levels of technical depth Foster DS @ Grid: Help build out our Applied Science and Machine Learning as a team and practice at Grid What we're looking for: Applied Science Expertise: Proven experience in Machine Learning and/or Applied Science, including a strong background in statistical inference, machine learning. This is a requirement, a bachelors or master's degree in Statistics, Mathematics, Physics, or Computer Science with a focus on machine learning is required. We are currently not accepting applicants with bachelor or master's degrees in Business Analytics, Information Systems, or Data Science. Deep Expertise in Applied Science & Machine Learning: Proven experience in applied machine learning, including a deep understanding of statistical inference and predictive modeling. Demonstrated practical experience with deep learning techniques, particularly transformer-based models. Research to Implementation Proficiency: A strong track record of reading, understanding, and implementing research papers in machine learning or related fields. Robust Technical Skills: Hands-on experience with Python (with libraries like PyTorch/TensorFlow) and SQL is essential. Autonomy and Initiative: Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products. Curiosity and Optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it. Technical Skills: Proficiency in the modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Tree based Models (i.e., Random Forest). Self Starter: Confidence to prioritize work and delivery demonstrable results on a tight cadence. Domain Knowledge: Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products. BenefitsMedicalDentalVision 401K Life Insurance Salary Range$120,000 - $200,000 per year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

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 Weston Solutions, Inc. you will do meaningful work and make valuable contributions. Employee-ownership at Weston is a path to professional growth and access to diverse opportunities in a highly connected community that works together across key service areas to make a difference in the environment. Weston continues to evolve and adapt to our changing world as a premier provider of environmental and infrastructure services for over sixty years. In both the public and private sectors our teams help identify, solve, mitigate, and manage critical environmental issues to help clients achieve a more sustainable future. Weston Solutions, Inc. is seeking a mid-level Associate Geologist, Engineer, or Scientist to work with our Superfund Technical Assessment and Response Team (START) performing EPA Investigations, Removal Assessments, and Removal Actions, as well as supporting other federal clients within the Pacific Northwest. This candidate will work within the federal teams providing our clients with accurate and pertinent scientific data according to methods, procedures, and techniques agreed upon. The candidate will provide leadership within a team responsible for delivering sound conclusions and recommendations to clients based upon field investigations and literature reviews within the established project schedules. The position will also be periodically on-call to support EPA emergency response projects as needed. Location: Seattle, WA Knowledge, Skills & Abilities: * B.S. in a Science and 4-6 years of experience in environmental and/or geotechnical sampling, and/or removal oversight. Oil and hazardous materials emergency response experience is a plus. * Ability to plan, lead, and participate in site walks, site evaluations, removal assessments, and removal action oversight projects, including oil, and hazardous materials emergency response projects. * Experience performing site assessments and collecting multimedia samples. * Exposure to various technical and scientific procedures * Ability to lift to 50 lbs. (field equipment, PPE, etc.) * Experience in preparing planning documents to methodically perform field investigations, data reporting, technical report preparation. * Strong organization and communication skills. * Attention to detail and self-starter * Ability to be flexible and adaptable. * Proficiency in Microsoft Office and Adobe Acrobat * Provide technical direction for teams up to 10+ personnel. Preferred Skills: * A minimum of four years multimedia sampling. Preferred experience in analytical method selection and data management and interpretation * Field instrumentation. Proficient in the use of various air and water monitoring instruments (PID/FID, multi gas meters, etc.). Abilities include calibration of field instruments, implementation in field, and interpretation of results. * Familiarity with the Incident Command System (ICS) 100-800. Completion of ICS courses a plus. * General understanding of the NCP, Oil Pollution Act and CERCLA. * 40-Hour HAZWOPER * Able to work in Levels C/B/A PPE Technical and Operational Scope: * Identifies staff in alignment with tasking, plan, and document field activities, and prepare daily and final reports for EPA and other federal clients within established budgets and schedule. * Exercises judgment on applicability of methods and approaches in use and determines best approaches to problem solving when standard procedures are inadequate. * Determines best method of data gathering, database management, and analysis of data to achieve goals. * Consults with outside specialists to obtain most accurate and timely data possible while meeting project specifications and timetables. * Calibrates and maintains a variety of multi-media monitoring and sampling equipment. * Knowledge of preparing cost estimates and scope of work for project execution. * Proficient in the writing of technical documents including sampling, data, and safety plans. * Use level D-A PPE to make entries into potentially hazardous areas. * Duties may include rotations as an "on-call" responder available 24 hours a day for one week at a time, and periodic Hazmat and oil spill emergency responses/removal assessment/action assignments. We fully invest in our people: Weston provides a generous, comprehensive benefits package program that offers employees high value options with solid financial protection, meeting the personal needs of its people and their families. * Medical, Dental, Vision, 401K with base and matching employer stock contributions. * Paid time off includes personal, holiday, and parental leave. * Life and disability plans. * Critical illness and accident plans. * Work/Life flexibility. * Professional development opportunities. Compensation will vary based upon experience, education, skill level, and other compensable factors.

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

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: AI Scientist - Modern AI Applications 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations. Key Responsibilities Research & Innovation Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows. Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text. Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding. Healthcare-Focused AI Development Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations. Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data). Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement. Technical Leadership Serve as the primary technical authority on Agentic and Generative AI within project teams. Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops. Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices. Operational & Compliance Excellence Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness. Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST). Partner with engineering to move research prototypes into production environments. Required Qualifications Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models. Or PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models. Experience in Python, R, and modern ML libraries. Experience with GenAI, LLMs, and transformer architectures. Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems). Preferred Skills Multi-modal AI research experience (text, image, structured data). Knowledge graph integration and symbolic reasoning expertise. Proven ability to take AI research from concept to production. Hands-on experience with autonomous AI agents and reasoning systems. Strong track record applying AI to healthcare or life sciences use cases. Familiarity with cloud platforms (AWS) and MLOps practices. Work location: US Remote Travel: May include up to 10% domestic Relocation Assistance: Is not authorized Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

WHO WE ARE We're Talking Rain Beverage Company, we create better-for-you beverages featuring great flavors and colors from natural sources. We live life in full flavor and believe the world should too. We create connections with every sip of our iconic Sparkling Ice, Sparkling Ice Caffeine, Sparkling Ice Energy, Popwell and MIXT. When it comes to success, we know we're only as strong as our team. That's why we're an equal-opportunity employer. We value diversity and practice inclusivity, hiring great people who enhance our company. Our Rain Makers are our most important asset. That's why we invest in them with benefits and development opportunities that reflect just how much we value them. Our Research & Development team is proud of where we've been, but more interested in where we're going. This team drives creativity, growing our portfolio of products. Here, you will apply your sensory expertise to lead consumer sensory testing, guide product development, and translate insights into opportunities for exceptional product experiences. Reports to: Manager, Research & Development Direct Reports: N/A Location: Onsite at our Preston, WA office 5 days a week *While we strive to offer flexibility, this role also requires it. There may be times when you're expected to come onsite outside your typical in-office days to support special projects, team events, or other business needs. Annual Bonus Potential: 7% - Eligibility is based on the company hitting annual financial targets. Base Salary: $70,000 - $95,000 (depending on experience) Note: New hires typically receive between minimum and midpoint, however, we may go slightly higher based on experience, internal equity and market. Design, execute, and analyze all internal and external sensory tests to support product development. Independently create standardized reports, develop clear written recommendations, presentations, graphs, and visualizations to communicate insights to guide cross-functional decision-making. Establish, train, and maintain internal sensory panels, ensuring consistency, reliability, and alignment with testing objectives. Deliver training to internal and external teams as needed. Demonstrate strong initiative and prioritization skills, with effective time management, organization, and problem-solving abilities. Maintain an organized internal sensory lab, supporting daily operations, efficiency, and ensuring compliance with food safety and quality standards. Establish cross-functional partnerships to define sensory program objectives, align on deliverables, and support product development goals. Manage relationships with external partners and consultants to support sensory goals. Lead the assessment and implementation of new sensory research methods to enhance capabilities, drive efficiency, and improve business performance. Help identify and screen emerging technologies that enable improved sensory experiences and support innovation. Ensure food safety, quality, and SQF practices are always followed, notifying immediate manager of any food safety and/or quality issues. Complete other responsibilities as assigned. We create connections with every sip. And we've found a lot of value in in-person connections! As a young, fast-growing company, we're still creating and refining the systems that will fuel our future growth. Onsite presence is beyond collaboration, and here is why onsite presence matters: Supports ad hoc and rapid-turn testing - Being onsite allows flexibility to conduct unplanned tests and provide real-time sensory input as new formulations or adjustments arise. Enables immediate cross-functional collaboration - Proximity to R&D, QA, and Operations teams allows for quick alignment and faster iteration on product improvements. Drives innovation through real-time observation - Hands-on evaluation and face-to-face collaboration spark new insights and more agile decision-making during development. WHAT YOU BRING Bachelor's degree in Food Science, Sensory Science, or related field required; Master's degree preferred. Equivalent experience considered. 4+ years of food sensory experience, including applied statistics and testing methodologies. 2+ years in product development preferred, ideally in the beverage industry. Strong organizational, communication and problem-solving skills. Working knowledge of food science principles, sensory methodologies, food manufacturing Ability to work independently, collaborate with stakeholders, manage multiple priorities, and build cross-functional relationships. Please note, this role is safety sensitive. This means that as part of your core responsibilities you will be regularly responsible for your own safety and/or the safety of others (e.g., driving on behalf of the company, working in a warehouse/plant environment). Rain Makers are people who are accountable, curious, and inclusive. We hold ourselves accountable and recognize room for growth while openly accepting feedback. We embrace change to deliver progressive results. Rain Makers don't wait for answers - we go find them. Curiosity is part of what makes us so successful. Sometimes we push back, productively challenging the status quo. We promote inclusivity . Valuing communication and respect, ensuring everyone has a seat at the table. We are an approachable bunch, building and fostering relationships with people of all backgrounds. WHAT WE OFFER Nothing makes a great job even better than throwing in a few perks, and we want to equip our Rain Makers with everything they need to maintain their health and well-being. That means things like... Three Weeks of Vacation. And that's just to start! Spend some time with us, and you'll accrue an additional week every few years, depending on your exempt status! FMLA qualifying Rain Makers receive six weeks of paid parental leave. Parents get to spend time at home bonding with their new addition (whether it arrives by birth, fostering, or adoption). For birth mothers, additional time is provided for medical leave. Depending on the state in which you reside, additional time may also be available for parents who do not require medical leave. Flexibility Stipend. For eligible Rain Makers, spend this extra monthly stipend as you wish, but know it's intended to contribute to things like your phone, internet or other business uses while working remotely or needs outside of normal working hours. Relocation: Relocation Available (when available) Onsite and Hybrid Employees: Get paid to carpool! Drive to work with another Rain Maker every week at least 2X a week and receive $0.25 per mile. 401k with Immediate Vesting. With matched contributions and investment customization, we'll help build a plan to reach your goals. Fitness Reimbursements. We're all about going the extra mile, so we provide reimbursements for community events and competitions like fun runs, triathlons, and cycling tours. Employees may also enjoy access to our on-site gym in Preston complete with a personal trainer 2 days per week. Medical/Dental/Vision. Not only do we offer it, but our plans are excellent and flexible to your needs. And one is even free for our Rain Makers! Vehicle Program - Field Sales Specialist - Mileage is reimbursed at the IRS rate Field Sales Managers and Market Managers - Company car or vehicle stipend included! Regional Sales Managers and Sales Directors - We use the leader in vehicle reimbursement solutions, Motus. This program provides a monthly fixed and variable rate that adheres to IRS guidelines for the business use of personal vehicles. Please note, eligibility for our full benefits package is based on an average of 30+ hours per week in regular (not temporary) positions. Want to get to know us better? Click to learn about us and our careers. You can also follow us on LinkedIn, Glassdoor, Instagram, and Facebook.

Ecologist / Wetland Scientist Full-time exempt Professional Kirkland, Kirkland, WA, US Salary Range: $95,000 To $135,000 (USD) Annually PACE Engineers is a Pacific Northwest engineering firm providing civil and structural engineering, planning, surveying, and construction management services from offices in Washington and Oregon. With 135 employee-owners, we are recognized for our expertise, passion, and commitment to clients and communities. Collaboration is central to our culture, enabling us to leverage the creativity and dedication of our teams across all locations, while maintaining a people-first approach that makes PACE both a strong partner and a vibrant community. We are currently seeking an Ecologist/Wetland Scientist for our growing Environmental team . This role is results-driven and aligned with the organization's strategic goals, requiring initiative, a competitive mindset, and the ability to stay focused during change. It demands quick decision-making, innovation, and a strong sense of urgency. The ideal candidate is confident, self-assured, and capable of inspiring others while maintaining a firm, goal-oriented leadership style. Excellent communication, adaptability, and delegation skills are essential, as is the ability to learn quickly and manage multiple priorities. Ultimately, success in this position is measured by achieving fast, high-quality results through motivation and accountability, rather than rigid adherence to process. WHAT YOU'LL BE DOING Lead and oversee critical area and wetland delineations in accordance with U.S. Army Corps of Engineers (USACE) guidelines and regional supplements. Manage all phases of environmental projects including proposal development, budgeting, fieldwork, regulatory coordination, reporting, and client communication. Prepare and review high-quality technical documents such as wetland delineation reports, critical area reports, jurisdictional determinations, mitigation plans, HPA, and Section 404/401 permit applications. Serve as a primary liaison with federal, state, and local agencies on environmental permitting and compliance matters. Guide the development and implementation of wetland restoration, mitigation, and monitoring plans. Supervise, mentor, and provide technical guidance to junior and mid-level staff. Utilize GIS and data management tools to support project planning and analysis. Ensure all project work meets regulatory requirements, internal standards, and client expectations. Stay current on evolving environmental regulations, guidance, and best practices. QUALIFICATIONS: Bachelor's or Master's degree in Environmental Science, Ecology, Biology, Natural Resources, or a related field. Minimum of 7-10 years of professional experience in wetland science, environmental consulting, or natural resource management. In-depth knowledge of federal and state wetland regulations, including Clean Water Act Section 404/401 permitting. Demonstrated experience managing complex environmental projects and multidisciplinary teams. Proficiency in conducting wetland delineations, functional assessments, and habitat evaluations. Strong technical writing and verbal communication skills; ability to present complex concepts clearly to clients and regulators. Experience completing complex mitigation and bank-use plans. Proficient in GIS mapping, GPS field tools, and environmental data analysis. Valid driver's license and willingness to travel for fieldwork and client meetings. PREFERRED QUALIFICATIONS: Professional Wetland Scientist (PWS) certification or eligibility. Experience in client development, proposal writing, and strategic project planning. Familiarity with NEPA, ESA, and other environmental compliance frameworks. Expertise in wetland mitigation banking, ecosystem restoration, or long-term monitoring programs. Experience in regulatory negotiation and agency coordination. Regional Experience BENEFITS SNAPSHOT Hybrid work model & flexible scheduling 401(k) & ESOP (Employee Stock Ownership Plan) Medical, dental, vision, HSA/FSA Paid time off, holidays, and wellness programs Short & long-term disability, life, and AD&D insurance Culture that supports belonging, equity, and inclusion PACE is an Equal Opportunity Employer and values diversity in the workplace. We encourage all qualified applicants to apply.

Niantic's Machine Learning Team seeks a Machine Learning Scientist to join our AI/ML team. This role focuses on crafting and implementing machine learning-powered features for our geo-location-based mobile games. You will collaborate closely with product managers, game designers, engineers, and data scientists to craft intelligent game mechanics that respond to player behavior, contextual environments, and geospatial signals. This is a high-impact, hands-on role ideal for candidates passionate about applying ML to mobile games and real-world data challenges. Niantic is a leading mobile game developer known for groundbreaking real-world mobile gaming experiences. Our mission is to use new technologies to enrich the human experience and encourage exploration of the world around us. Titles like Pokémon GO, Pikmin Bloom, and Monster Hunter Now are just the beginning. We're looking for curious, creative, and purposeful minds to join us on our journey. Responsibilities * Craft and develop machine learning models that drive intelligent gameplay features, such as multifaceted content placement, player clustering, and geo-contextual personalization. * Leverage real-world data (geospatial, temporal, behavioral) to advise in-game decision-making and adapt to player environments in real time. * Partner with product and design teams to translate gameplay ideas into ML-powered systems. * Collaborate with data science and data engineering teams to optimize data pipelines for machine learning use cases. * Collaborate with product and data science teams to perform thorough experimentation, A/B testing, and model evaluation to measure product impact and feature efficiency. * Contribute to the design of ML infrastructure, tools, and workflows that support the lifecycle of models in production. * Required in-office 2 days on Tuesday and Wednesday. Qualifications * M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related technical field. * 2+ years of experience developing ML systems in a production environment. * Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar. * Experience with applied ML techniques such as supervised learning, clustering, or deep learning. * Strong analytical and problem-solving skills with a product mentality. * Ability to communicate technical concepts clearly to multi-functional teams. * Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice. * Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others. Plus If... * Experience building ML features for mobile games or interactive applications. * Experience with modern data processing frameworks, e.g. Apache Beam or Apache Spark. * Exposure to active learning methodologies, recommendation systems and real-time model inference. * Experience with Cloud native model development environments, e.g. GCP or AWS. * Experience with common machine learning development tools or frameworks, e.g. Jupyter Notebooks, MLflow or Kubeflow. * Familiarity with geo-contextual modeling, map-based data, and temporal-spatial modeling techniques. * Solid understanding of geospatial data and location-based modeling challenges. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $158,200 - $185,000 USD About Us Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," "Star Trek Fleet Command," "Stumble Guys," "MARVEL Strike Force," and "Yahtzee With Buddies," among others. Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer experience across multiple platforms--from mobile, web, PC and beyond. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry. Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents. Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy. For more information on Scopely, visit: scopely.com Notice to candidates: Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment. All official Scopely, Inc. recruiters only use email domains that end with @scopely.com. Our official website is **************** Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact **********************. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

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.

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty. **_The Institute for Health Metrics and Evaluation (IHME)_** is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. IHME has an excellent opportunity for a **_Temporary_** **Research Scientist** to join the **Reproductive, Genitourinary and Digestive (RGUD)** disease estimation team. IHME Research Scientists analyze and produce key estimates for their assigned research team, contribute to research design and training, and lead and/or mentor junior staff. We are looking for someone ready to advance in their career in global health research. You will assess all available relevant quantitative data, including individual-level and aggregated data from surveys, vital registration, censuses, cohort studies, registries, administrative records, government reports, and published scientific literature. You will lead the development and execution of analytic strategies, determining which strategies to test and how best to deploy statistical methods and coding techniques necessary for producing estimates, with emphasis on the long-term and intergenerational impacts of sexually transmitted infections (excluding HIV). You will be responsible for presenting results for internal critique, incorporating necessary feedback into updates and running models to formulate high-quality final deliverables. You will also lead the development of manuscripts, reports, presentations, and similar outputs. You will be integrally involved in producing, critiquing, improving, and disseminating results. You are someone who is capable of keeping your team on track to meet deadlines and research objectives. You already have a publication record, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering, and technical advances and are able to translate these into your research. This position is contingent upon project funding. **Responsibilities:** + Exhibit command of the team's research areas, including the methodology and its components. + Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders. + Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses. + Develop and implement new computational and statistical methods. Write, test, and maintain code in Python or R, with a willingness to learn and adapt to additional programming languages as needed. Maintain, modify, and execute analytic machinery that generates results. + Assist in drafting presentations and manuscripts, and contribute to the preparation of funding proposals. + Lead and co-author scientific publications in peer-reviewed journals. + Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. + May lead and/or mentor junior staff. + Contribute ideas and content for internal and external training materials to enhance understanding and effective use of IHME tools and data. May participate in teaching established trainings. + Contribute to research design. + Other duties as assigned that fall within reasonable scope of research team. **Minimum Requirements:** + Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' related experience. + 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:** + Demonstrated understanding of the common measurement methods and study designs employed in analytic observational epidemiology, their biases and limitations, and available approaches to adjust measurements to support valid causal inference. + Growing peer network where sought out as having solid command of engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings. + Excellent analytic, critical thinking, and quantitative skills. + Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key. + Experience devising and executing statistical modeling techniques. + Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code. + Ease in designing, executing, and troubleshooting code in R or Python. + Excellent written and oral communication skills required, including track record of success in coauthorship on multiple scientific papers, presenting results, and representing research at meetings. + Demonstrated ability to contribute to and sustain collaborations with external research teams. + Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work. + Experience with meta-regression, preferably using Burden of Proof or other published methodology employed to estimate causal relationships from diverse datasources. + Ability to work both independently and in collaboration with a team. + A long-term interest in a research scientist position contributing to the overall mission of our research. **Desired Qualifications:** + MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred. + Experience with machine learning, data mining, and analytic techniques. + Experience mentoring and developing junior employees on soft and technical skills. + Experience with project management methods. + Peer-reviewed publication record. **Conditions of Employment:** + Weekend and evening work sometimes required. + This position is open to anyone authorized to work in the US. + Working internationally is only allowed for IHME sponsored work that requires in -country participation. + Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor. **_A COVER LETTER IS REQUIRED IN APPLYING FOR THIS POSITION._** Please in your cover letter: **Provide three professional references, including name, position, company, email and phone as well the name and contact information for your current supervisor, including email.** **If you are not currently employed, please provide the name and contact information for your most recent supervisor, including email.** **Compensation, Benefits and Position Details** **Pay Range Minimum:** $105,816.00 annual **Pay Range Maximum:** $128,316.00 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:** SEIU Local 925 - IHME **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.

Jubilant HollisterStier LLC, a well-established member of the business community in Spokane, Washington, provides a complete range of services to support the pharmaceutical and biopharmaceutical industries. The Allergy business is a worldwide leader in the manufacture of allergenic extracts, targeted primarily at treating allergies and asthma. Jubiant HollisterStier is also a nationally recognized contract manufacturer of sterile injectable vials, and lyophilized products. Jubilant HollisterStier is a proud member of the Jubilant Pharma family. Our Promise: Caring, Sharing, Growing We will, with the utmost care for the environment and society, continue to enhance value for our customers and stakeholders by providing innovative products and economically efficient solutions' through growth, cost effectiveness and wise investment of resources. Job Description: The EM Compliance Scientist II is responsible for the qualification, repair, maintenance and compliance of laboratory instruments and software. * Perform preventative maintenance and qualification activities on laboratory instrumentation as directed. * Implement appropriate computer operating system permissions to laboratory equipment workstations in order to comply with regulatory requirements. * Diagnose laboratory equipment issues and perform the necessary maintenance to return equipment to a compliant functionality. Assist in other forms of troubleshooting as directed by the Supervisor. * Prepare acceptance reports for laboratory equipment. * Complete core training per procedures. * Adhere to the pertinent aspects of plant safety programs and in keeping with GMP's or other regulations. * Maintain and operate laboratory equipment to assure accuracy and confidence in performance. * Perform computer systems backup as required and ensure data integrity is maintained. * Create new procedures as needed. * Participate in direct internal and/or external client interactions. * Perform special assignments as directed by Supervisor. * Coordinate and lead group projects related to laboratory compliance and equipment. Qualifications: * Associates Degree of Science with minimum 2 years of experience required * Bachelor's Degree of Science Major(s): Chemistry, Biology, or related hard science desired * 2 to 4 years related experience required * Pharmaceutical and FDA Regulated Industry Experience desired * Laboratory Experience (3 years) desired * Proficiency in troubleshooting instruments and/or a mechanical aptitude desired * Proficiency with Microsoft Operating systems as well as general understanding of software and database configuration desired * Experience with data visualization software/coding languages desired * Specific Coursework: Any emphasis in computer related systems desired * Microsoft Word and Microsoft Excel experience required * Mechanical Aptitude required * Manual Dexterity required * Knowledge, practical application, and understanding of analytical instrumentation is necessary to perform the functions of this position. The incumbent must have an ability to utilize scientific and or technical literature, and to make effective written and oral reports that are clear, accurate, and logical. A working knowledge of chemistry, statistics, computer-assisted data processing, and good-manufacturing practices is desirable. Must demonstrate initiative and a willingness to learn. * Ability to lift 25 pounds unassisted required * Exposure to Allergens required * Repetitive Activity, prolonged sitting and standing required Shift: Weekday Days Compensation & Benefits: This is an on-site, full-time position located in Spokane, WA. * Hiring Wage: $ 30.99- $41.93/hr. depending on experience, with opportunity for growth, promotion and annual raises. Midpoint and above is reserved for employees who have longevity with Jubilant HollisterStier and consistently exhibit outstanding performance over a period of time in the role * Role follows the ABU holiday schedule * Medical, Dental, Vision, Flexible Spending and Health Savings Accounts * Life, AD&D, Short and Long Term Disability * 401(k) with company match * Generous paid time off plan * Employee Assistance Program Unlock your potential with Jubilant HollisterStier! If you're seeking a dynamic and rewarding career, we welcome your application today! ******************************** * Please click on the Spokane, Wa. Link* Jubilant HollisterStier is an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you require assistance applying for a position, please contact our HR Department at: ******************************

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.