Senior scientist jobs in Seattle, WA - 872 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.

Who We Are: The Search and Recommendations Machine Learning (ML) team at Wayfair is at the forefront of designing and implementing algorithms that define our global search experience. Using cutting-edge machine learning approaches, including deep sequence models, embeddings and multi-modal technologies, we aim to deliver a personalized and compelling experience for over 22 million active customers. Our mission is to make the user experience intuitive and efficient, helping customers discover exactly what they need in a vast and diverse product catalog. What You'll Do: * Elevate recommendation quality: Design and implement scalable machine learning models to improve the ranking, and personalization of product recommendations across Wayfair * Develop robust retrieval systems: Build and optimize candidate generation pipelines that surface high-quality, personalized product recommendations at scale. * Leverage user and product signals: Apply deep learning and representation learning to model user preferences, product attributes, and contextual signals for better recommendation performance. * Innovate with cutting-edge techniques: Explore sequence modeling, embeddings, and multi-modal modeling to drive the next generation of recommender systems. * Collaborate cross-functionally: Partner with product managers, engineers, and data scientists to align recommendation strategies with business objectives and user needs. * Tackle recommendation-specific challenges: Solve key issues such as the cold-start problem, data sparsity, product compatibility and seasonality in dynamic environments. * Advance the ML community at Wayfair: Contribute to internal knowledge sharing, author technical documentation, and represent Wayfair at top ML conferences like NeurIPS and RecSys. Who You Are: * Bachelor's or advanced degree (Master's, PhD) in Computer Science, Machine Learning, Mathematics, Statistics, or related field. * 4+ years of industry experience as an ML engineer, applied scientist, or research scientist, with a proven track record of delivering ML projects autonomously and driving measurable business impact, particularly in recommendations, search, or ranking. * Expertise in recommendation systems, including candidate generation, ranking algorithms, and user-item modeling. * Deep understanding of collaborative filtering, sequence modeling, and embedding-based personalization. * Experience with end-to-end project ownership, including collaboration with business partners and strong written and verbal communication skills. * Strong proficiency in Python and/or Java for building and deploying ML-driven recommendation systems. * Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker. Why You'll Love Wayfair: * Time Off: * Paid Holidays * Paid Time Off (PTO) * Health & Wellness: * Full Health Benefits (Medical, Dental, Vision, HSA/FSA) * Life Insurance * DIsability Protection (Short Term & Long Term DIsability) * Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships) * Mental Health Support (Global Mental Health, Global Wayhealthy Recordings) * Caregiver Services * Financial Growth & Security: * 401K Matching (Employee Matching Program) * Tuition Reimbursement * Financial Health Education (Knowledge of Financial Education - KOFE) * Tax Advantaged Accounts * Family Support: * Family Planning Support * Parental Leave * Global Surrogacy & Adoption Policy * Professional Development & Recognition: * Rewards & Recognition * Global Employee Anniversary Awards * Paid Volunteer Work * Unique Perks: * Employee Discount * U.S. Bluebikes Membership * Global Pod Outings * Work/Life Balance: * Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments If you don't meet every qualification listed, we still encourage you to apply. We're looking for strong team players who can learn, grow, and make an impact. This is a hybrid position located in Seattle, WA. The team is in-office Tuesday-Thursday and remote on Monday and Friday. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. Need Technical Assistance? For more information about applying for a career at wayfair, visit our FAQ page here. About Wayfair Inc. Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.

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.

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.

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted cancer therapies. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugate therapies. Our pipeline includes varegacestat, a late-clinical stage GSI; IM-1021, a clinical-stage ROR1 ADC; and IM-3050, a FAP-targeted radiotherapy that recently received IND clearance. We are also advancing a broad portfolio of early stage ADCs pursuing undisclosed solid tumor targets. Position Overview The Senior Scientist, Drug Product Development will lead formulation and drug product (DP) development for our ADC pipeline. This individual will play a key role in establishing internal lab capabilities, executing formulation studies, developing lyophilization cycles, and partnering cross-functionally within CMC and Clinical teams. The ideal candidate will thrive in a fast-paced, startup environment and be comfortable balancing strategic planning with hands-on laboratory execution. Responsibilities * Lead formulation development for antibody and ADC drug products, including stability-indicating formulation screening and optimization for early and late stage products. * Design, develop (internally and/or externally), and tech-transfer drug product processes including lyophilization, for ADC drug products to ensure manufacturability, and scalability. * Support building internal formulation lab capabilities, including equipment selection. * Serve as the internal subject matter expert (SME) for DP formulation and lyophilization, guiding both internal scientists, as the team expands, and external CDMOs. * Collaborate closely with ADC DS Development, Analytical Development, QC and QA teams to ensure end-to-end alignment across CMC. * Author and review CMC documentation, including development reports, regulatory submissions (IND/IMPD/BLA), and technical transfer packages. * Evaluate and implement emerging technologies for ADC formulation and lyophilization to drive innovation and efficiency. * Mentor and develop junior scientists as the team expands. Qualifications * A minimum of industry experience in biologics or ADC formulation and lyophilized drug product development. * Proven expertise in lyophilization cycle development, characterization, and scale-up for biologics. * Experience with ADCs and establishing internal lab is preferred. * Strong hands-on experience in formulation screening, stability studies, and analytical data interpretation. * Demonstrated experience establishing or operating in an internal lab environment. * Excellent understanding of CMC principles and regulatory expectations for biologic and ADC drug products associated to the products' phase. Knowledge and Skills * Deep understanding of formulation principles for biologics and ADCs, including critical quality attributes (CQAs), thermal stability and compatibility considerations. * Proficiency in fill/finish and lyophilization process development, scale-up, optimization, tech-transfer and troubleshooting. * Strong analytical skills for interpreting data from formulation and stability studies. * Working knowledge of regulatory requirements for clinical and commercialization of sterile drug products, including application of Quality by Design principles * Excellent communication and collaboration skills to work cross-functionally and with external partners. * Ability to innovate and implement emerging technologies in drug product development. * Ability to manage multiple projects with tight deadlines and priorities. * Leadership skills to mentor junior scientists and/or manage projects effectively. Washington State Pay Range $155,896 - $192,334 USD E/E/O Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish). Create a Job Alert Interested in building your career at Immunome, Inc.? Get future opportunities sent straight to your email. Create alert

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.

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.

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.

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.

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

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

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 USDAbout 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.

The Translational Pathology Biomarker Testing Laboratory (TPBTL) within our client's Translational Sciences organization is seeking a highly motivated, multidisciplinary, scientist, to assist with the development, implementation, and execution of biomarker testing for drug programs that have progressed to early phase clinical development. This position will primarily support immunohistochemistry (IHC) and in situ hybridization (ISH) assay development and clinical testing in our CLIA-certified, CAP-accredited laboratory. This includes performing and documenting standardized experiments and assisting with specimen accessioning, testing, imaging, data analysis, quality control, report writing, and other tasks, as needed. In addition, this position will be responsible for general laboratory operational tasks such as maintaining laboratory equipment, ordering, and inventory management. The scientist will work in a dynamic, cross functional team that includes pathologists, program managers, clinical technicians, data management, quality, regulatory, and management. Candidate must possess a commitment to excellence and quality for patients. Principal Responsibilities * Immunohistochemistry (IHC) and in situ hybridization (ISH) assay development, and validation. Experience in multiplexing and/or fluorescent IHC, a plus. * Daily use of microscopes and imaging systems including commercial image analysis software packages. * With guidance as needed, independently plan and execute laboratory experiments, collect data, and communicate and present results to internal teams. * In-depth hands-on experience in other molecular and genetic techniques and technologies is a plus. * Maintains current and broad knowledge in Molecular & Cellular Biology, Cancer Biology, and Pathology. * Collect, analyze, and synthesize data into presentations, posters, and reports. * Assist in writing, following, and maintaining Standard Operating Procedures. * Works in a regulated environment associated with maintaining a high performing CLIA-certified, CAP-accredited laboratory. * Responsible for ordering and maintaining reagents and supplies, instrument maintenance, and general lab duties. * Maintains a great team culture, participates in department initiatives, and seeks career development opportunities. Additional Skills & Qualifications Required Qualifications * B.S. and 23-5 years of laboratory experience; M.S. and 0-2 years in a biological science related field. * Experience working in a laboratory setting. * Ability to follow and execute standard operating procedures. * Excellent written/oral communication skills. * Strong interpersonal skills and the ability to work in a multi-disciplinary team environment. Preferred Qualifications * Experience with molecular biology and/or histology techniques. * Experience working in a regulated clinical laboratory, CLIA and/or CAP environment is strongly preferred. * Knowledge in cancer biology, immunology, or histopathology. * Use of microscopes, imaging systems, image analysis software. * Experience in multiplexing and/or fluorescent IHC, a plus. * Assay development using automated platforms. * Data management, data analysis, and statistical software packages. Job Type & Location This is a Contract position based out of Bothell, WA. Pay and Benefits The pay range for this position is $42.00 - $52.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Bothell,WA. Application Deadline This position is anticipated to close on Feb 11, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

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 - Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with advancements and the latest modeling techniques in the field - Publish your research findings in top conferences and journals A day in the life We're using advanced approaches such as foundation models to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. About the team Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production. - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning and generative AI background, to focus on the development of software development skills of Nova foundational models. As a Principal Applied Scientist, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across the organization. You are a hands‑on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state‑of‑the‑art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. Key Job Responsibilities Define key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. Develop long‑term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. Participate in organizational planning, hiring, mentorship and leadership development. Serve as a key scientific resource in full‑cycle development (conception, design, implementation, testing, documentation, delivery, and maintenance). Basic Qualifications 5+ years of hands‑on work in predictive modeling and analysis. PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field. Experience working in predictive modeling and analysis. Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. Experience programming in Java, C++, Python or related language. Experience leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment. Preferred Qualifications 10+ years of relevant work in industry or academia. Knowledge of problem solving, algorithm design and complexity analysis. Experience creating novel algorithms and advancing the state of the art. Peer‑reviewed scientific contributions in premier journals and conferences. Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Legal Compliance Statements Los Angeles County applicants: Job duties for this position include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site. #J-18808-Ljbffr

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

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.