Senior scientist jobs in Renton, WA

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The Team Just Walk Out (JWO) is a new kind of store with no lines and no checkout-you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you're done shopping, you can just leave the store. Shortly after, we'll charge your account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths' most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design. Key job responsibilities Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than big company. We'll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As a Sr. Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists. You will be the thought leader of the team. You will tackle challenging, novel situations every day and given the size of this initiative, you'll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that's higher than most projects and relish the idea of solving problems that, frankly, haven't been solved at scale before - anywhere. Along the way, we guarantee that you'll learn a ton, have fun and make a positive impact on millions of people. A key focus of this role will be developing and implementing advanced visual reasoning systems that can understand complex spatial relationships and object interactions in real-time. You'll work on designing autonomous AI agents that can make intelligent decisions based on visual inputs, understand customer behavior patterns, and adapt to dynamic retail environments. This includes developing systems that can perform complex scene understanding, reason about object permanence, and predict customer intentions through visual cues. About the team AWS Solutions As part of the AWS solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS- Experience in visual design expertise with ability to produce fresh, simple, elegant and exceedingly usable layouts and interactions and iconography - Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling; - Experience with advanced computer vision techniques including scene graph generation, visual relationship detection, and spatial reasoning - Knowledge of modern visual-language models and multi-modal AI systems - Experience implementing reinforcement learning for autonomous agent behavior - 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. 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 $150,400/year in our lowest geographic market up to $260,000/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.

Introduction to the team We create and deliver an aligned, dedicated marketing strategy to fuel each Expedia Group brand's success. Since our travelers interact with us through our brands, we have a brand focus in our marketing, while leveraging the scale and efficiency we've built in functional expertise. At Expedia Group, our Growth Marketing team is redefining how data-driven marketing meets AI-powered, agentic automation. We drive performance through best-in-class, scalable machine learning, deploying production-ready multimodal LLMs, GenAI, and agentic NLP architectures. Our agentic systems power everything from personalized travel discovery to real-time, cross-platform campaign execution at massive scale. Explore “Trip Matching” on Instagram for a glimpse into our production chatbot transforming inspiring reels and posts into hotel recommendation. As an ML Scientist III, your mission is to engineer, and scale production AI workflows, agents, and multimodal LLM pipelines, leveraging both in-house and third-party systems. You'll develop agentic solutions with advanced orchestration tools like LangGraph, Langfuse, RAG, and the latest frameworks, owning end-to-end delivery and optimizations for inference and GenAI systems. In this role, you will: Develop and deploy complex agentic and multimodal AI workflows at production scale, architecting memory-enabled, context-aware agents that drive dynamic automation, personalization, real-time monitoring and content generation. Design and orchestrate advanced LLM and RAG-driven agent solutions using modular frameworks including LangGraph, Langfuse, CrewAI, AutoGen, and other emerging agentic orchestration tools-enabling adaptive, stateful, and highly interactive workflow graphs. Integrate and optimize complete multimodal GenAI pipelines: text-to-image, image-to-video, text-to-video, and text-to-voice, leveraging and extending in-house and third party models. Fine-tune (parameter-efficient tuning, LoRA, QLoRA, etc.), and evaluate (perplexity, accuracy, creativity metrics) both open-source (Llama, MPT, Phi-4, etc.) and commercial LLMs (OpenAI GPT-4, Gemini, Claude). Pioneer LLM-based simulation & evaluation environments (e.g., LLM-as-a-Judge): Leverage the latest LLMs, multi-agent systems, and generative tools to simulate user behavior, accelerate experimental cycles, and rigorously evaluate new features or workflows in both synthetic and prod online shopping and travel environments. Simulate A/B testing via LLM simulations: Build A/B test agents capable of simulating user engagement, behavioral outcomes, and marketing scenarios to complement and replace large-scale online testing-enabling rapid iteration, robust pre-deployment validation, and deeper insight into agentic/LLM-driven feature impact. Continuously adopt and iterate on the latest frameworks, staying current with state-of-the-art in agentic orchestration, memory models, multimodal GenAI, LLM pipelines, and LLM operation (RAG, memory, tracing, evaluation). Collaborate deeply with engineering, marketing, and product teams to translate evolving business objectives into scalable and observable AI-driven solutions. Experience and qualifications: Minimum 7+ years experience delivering robust, scalable AI/GenAI solutions at enterprise scale with a Bachelors degree (4-5+ year of relevant experience with a Masters/PhD in CS, EE, Stats) Agentic frameworks experience working with platforms such as LangGraph, Langfuse, RAG, CrewAI, AutoGen, and comparable agent workflow frameworks Ability to design complex agent graphs with memory, tool calling, and multi-step reasoning Multimodal and agentic AI experience in both commercial and open-source models (VLMs, CLIP, Phi-4, DINO, etc), advanced LLM pipeline design, and shipping both inference and generative AI features to users Hands-on experience in fundamental neural network models (CNN, Transformers, BERT, VAEs, Multimodals etc) Proven expertise in architecting persistent, hybrid, and context-managed memory for agentic workflows Strong in Python (PyTorch, HuggingFace, etc.), MLOps, distributed systems (PySpark, Databricks, Airflow), and scalable API engineering Deep experience with tracing, logging, and observability stacks (Langfuse, PromptLayer, Weights & Biases, etc.), including prompt monitoring and model evaluation in live production Ability to translate complex technical systems into actionable solutions for cross-functional teams, leveraging Multimodal LLMs and Gen AI models

About the Team Centific's Robotics and Physical AI Lab is pioneering the fusion of simulation-first research, embodied intelligence, and multimodal perception. Our mission: accelerate the transition from vision and language understanding to real-world action, enabling next-generation robots, agents, and safety systems across industries. We're assembling a cross-functional team of engineers, researchers, and interns exploring vision-language models (VLMs), world models, and sim2real transfer. As our Lead Research Scientist, you will steer this effort-bridging academic rigor with hands-on experimentation, guiding early-stage researchers, and converting scientific breakthroughs into deployable AI systems. 🎯 Mission Drive the scientific and technical direction of Centific's Physical AI and Robotics R&D. Lead by example-mentoring a team of interns and engineers while collaborating across simulation, perception, and multimodal AI. 🔬 What You'll Do Leadership & Mentorship Lead a team of 3-5 Ph.D. interns and engineers across perception, multimodal reasoning, and simulation projects. Architect and maintain a collaborative research roadmap with measurable milestones and publishable outcomes. Foster a culture of open research, reproducibility, and iterative learning. Research & Development Define and execute high-impact research in embodied AI, world models, and vision-language reasoning. Integrate digital twins, Isaac Sim, MuJoCo, or other simulators for real-world policy validation and sim2real adaptation. Advance multimodal model design-from grounding and affordance recognition to causal and temporal reasoning. Explore data-efficient training, spatially aware neural architectures, and robustness evaluation frameworks. System Integration & Deployment Collaborate with platform engineers to deploy research artifacts into scalable services using Ray, FastAPI, Docker, and Kubernetes. Benchmark large-scale inference pipelines, model distillation strategies, and safety validation workflows. Publish open-source code and internal benchmarks that raise the scientific bar. Collaboration Partner with the Principal Architect, simulation teams, and external research collaborators. Lead proof-of-concept integrations with simulation or robotics hardware vendors. Represent Centific in academic conferences and consortiums on AI, simulation, and robotics. 📚 Minimum Qualifications Ph.D. in Computer Science, Robotics, or related field, with a strong publication record in CVPR/ICCV/ECCV, NeurIPS/ICLR/CoRL/RSS, or equivalent. 5+ years of postdoctoral or industry research experience in computer vision, simulation, multimodal reasoning, or spatial AI. Deep expertise in PyTorch or JAX, GPU-accelerated workloads, and distributed training. Proven record of mentoring junior researchers or leading interdisciplinary R&D projects. Experience with Isaac Sim, Open3D, PyTorch3D, or MuJoCo for digital-twin and behavior simulation. Strong understanding of statistical spatial modeling, RL/MPC policy learning, and world-model architectures. 🌟 Preferred Qualifications Publications or patents in spatially-aware neural networks, multimodal world modeling, or simulation-based training. Experience implementing Ray-based distributed training or Triton/TensorRT-based inference optimizations. Familiarity with trustworthy AI, explainability in autonomous systems, or safety validation for robotics. Contributions to open-source frameworks (e.g., OpenMMLab, Isaac Sim assets, Habitat, Omniverse pipelines). History of academic collaboration or joint research programs with universities or labs. 🧩 What Success Looks Like Delivery of reproducible, publishable, and deployable research outcomes that strengthen Centific's Physical AI IP portfolio. Mentorship that grows the capabilities and confidence of your team. Leadership that balances curiosity-driven research with product-driven execution. Demonstrable impact on simulation realism, policy robustness, and model generalization. ⚙️ Our Stack Modeling: PyTorch, JAX, Hugging Face, xFormers Simulation: Isaac Sim, MuJoCo, Open3D, COLMAP, 3DGS/NeRF Systems: Python, Ray, FastAPI, Kubernetes, Docker, Triton, Weights & Biases Multimodal AI: CLIP, SAM, LLaVA, Cosmos-Reason, Vision-Language Transformers Data & Evaluation: Omniverse USD pipelines, world-model benchmarks, synthetic-to-real datasets 🚀 Why Join Centific Lead the frontier: Shape a new discipline at the intersection of AI, simulation, and robotics. Mentor the next generation: Guide emerging researchers working on cutting-edge multimodal and embodied AI problems. Ship your science: See your research power real systems across safety, healthcare, and smart environments. Collaborate with industry leaders: Work with NVIDIA, Microsoft, and the global Physical AI community. Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Applied Perception Scientist IV Onsite - Redmond, WA Our client is a leading research organization of world-class researchers, developers, and engineers, who collaborate to actively create a future where virtual and augmented reality become as indispensable as today's smartphones and personal computers. The mission of the Virtual Reality Research Audio team is to engineer augmented audio that redefines human hearing capabilities. This will allow us to connect people by facilitating conversation in even the most challenging auditory environment. We are seeking a contract applied research scientist specializing in the perception of tonal languages. This role is an integral part of our team, contributing to our research and development efforts. The ideal candidate will help us explore and understand individualized audio quality preferences and experiences, enabling us to tailor our technologies to meet unique user needs. Responsibilities: Oversee and drive research projects on speech quality, statistically analyze results and report findings. Monitor problems, facilitate resolution, and proactively keep projects on track. Implement and conduct pilot listening tests and other perceptual experiences. Regularly report on project progress, dependencies and risks to stakeholders. Support research scientists and engineers within the team. Manage procurement projects for equipment and vendor services. Willingness to "roll up sleeves" and take on operational tasks in support of the team's goals. Minimum Qualifications: Interpersonal and communication skills, with strong attention to detail. Proactive with ability to execute on multiple projects simultaneously. Strong organizational and time management skills. Track record of communicating research on speech perception, hearing sciences or auditory perception in an academic or industrial setting. Experience with data collection with human participants. Experience working in a fast-paced research and/or product development environment. Experience with scientific programming languages such as Matlab, Python, C++, or R. PhD degree Preferred Qualifications: Experience with tonal languages. PhD degree or equivalent experience. Experience with AI generative speech. Experience with modeling audio quality. Pay range is $61 - $66 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. THE PROMISES WE MAKE: At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey. For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.

You will be responsible for scientific oversight, data integrity and quality of clinical trial(s) in support of the development strategy for programs within the Late-Stage Oncology portfolio. Clinical development expert for assigned studies maintaining current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment. Effectively partner with other clinical and medical colleagues, clinical operations and other functional lines for the successful implementation and execution of the clinical trial(s) within the assigned program. Responsible for scientific oversight, data integrity and quality of the clinical trial(s). Represent the study team in governance meetings and submissions, partners with/supports the Development lead/Medical Director regarding study and disease area strategy. Author protocols, study level informed consent documents, and contributes to authoring of IBs, site training materials, clinical study reports, regulatory responses, and other clinical and regulatory documents; supports preparations for Health Authority meetings, participates as appropriate. Set the clinical data review strategy and leads the team in the collection of quality data and review of emerging clinical data and trends; reviews and queries data; presents and discusses relevant data to appropriate teams, governance bodies, and other internal and external stakeholders. In close partnership with medically qualified colleague/s, analyze the emerging safety profile of the drug, keeping the clinical and safety colleagues informed of changes in the safety profile as they occur in the assigned trial(s). Follow relevant SOPs and regulations, has an excellent understanding of and complies with applicable trainings, seeks opportunities to further improve quality and efficiency of clinical procedures; PhD/Pharm D in a relevant Science discipline and minimum of 5 years Clinical Research experience in industry/CRO, OR MS in a relevant Science discipline and minimum of 7 years of Clinical Research experience in industry/CRO OR BA/BS in a relevant Science discipline and minimum of 10 years Clinical Research experience in a similar role in industry/CRO Clinical Research experience in the phase 3/pivotal space in Oncology, ideally on the side of the sponsor and with a track record of successful regulatory submission, inspection, and regulatory approval Clinical Operations, Safety, Biostatistics, Regulatory, Study Management, Pre-clinical, Pharmacology, Quality Assurance Experience working on large data sets Proficiency with Microsoft Office and relevant scientific software Track record of scientific productivity as evidenced by publications, posters, abstracts and/or presentations Experience building partnerships across the company to achieve the needs of the program Experience in Hematology Oncology Demonstrates passion for helping patients with cancer and for the science of oncology Flexibility to adapt and navigate through an ever-changing work environment while maintaining integrity and quality in the work assigned Demonstrates autonomous delivery, problem-solving, and agile decision-making in execution of Clinical responsibilities Promotes team health and exemplifies Pfizer's leadership behaviors and actionable attitudes Leverages knowledge and support from others related to overall objectives, strategy, critical issues, and policies Promotes innovation and takes appropriate risks to challenge the status quo in order to enhance the efficiency of current processes Embraces evolving technologies and adopts best practices aimed at improving the efficiency and quality of clinical development Works well in a diverse team environment with colleagues from diverse cultures, backgrounds, and geographies. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.Pfizer compensation structures and benefit packages are aligned based on the location of hire. Relocation assistance may be available based on business needs and/or eligibility. Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Medical

Team Introduction Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven. In today's content-driven commerce landscape, traditional collaborative filtering and supervised learning methods are no longer sufficient. We're actively exploring how large language models (LLMs) and generative AI can fundamentally transform the recommendation process: from retrieval to ranking, and from static listings to dynamic, generative user-item interactions. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities * Develop and deploy ML models to power personalized e-commerce recommendations * Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions * Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV * Focused on scaling, robustness, and production-quality deployment Minimum Qualifications: * Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. * Proficient coding skills in Python and hands-on experience with deep learning frameworks such as TensorFlow or PyTorch * Demonstrated ability to conduct rigorous research and analyze large-scale data * Strong problem-solving skills and a high sense of ownership Preferred Qualifications: * Publications in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, RecSys) * Experience with recommendation systems, retrieval models, or multi-modal learning * Familiarity with building and deploying real-time, scalable ML systems in production * Background in e-commerce or related applied AI research domains By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

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.

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.

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.

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 subscriptions such as Apple TV+, HBO Max, Peacock, 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 team member, 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 We are looking for passionate, hard-working, and talented individuals to help us push the envelope of content localization. We work on a broad array of research areas and applications, including but not limited to multimodal machine translation, speech synthesis, speech analysis, and asset quality assessment. Candidates should be prepared to help drive innovation in one or more areas of machine learning, audio processing, and natural language understanding. The ideal candidate would have experience in audio processing, natural language understanding and machine learning. Familiarity with machine translation, foundational models, and speech synthesis will be a plus. As an Applied Scientist, you should be a strong communicator, able to describe scientifically rigorous work to business stakeholders of varying levels of technical sophistication. You will closely partner with the solution development teams, and should be intensely curious about how the research is moving the needle for business. Strong inter-personal and mentoring skills to develop applied science talent in the team is another important requirement. - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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 using Unix/Linux - 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. 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 $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.

About Outpace BioOutpace Bio is pioneering the future of cell therapy for solid tumors by harnessing unrivaled AI-powered protein design. Our mission is to program immune cells for enhanced function inside patients, overcoming key barriers such as poor tumor access, weak survival, antigen escape, and dose-related toxicity. By creating and integrating modular, plug-and-play technology assets, we are developing cell therapies with unprecedented efficacy, transforming how engineered T cells interact with cancer and the immune system to deliver life-changing outcomes. Our multidisciplinary team of scientists, engineers, coders, and cell therapy developers works at the cutting edge of computational protein design, synthetic biology, and immunology. Together, we are reimagining how cells function to unlock novel therapeutic possibilities.Located in Seattle's vibrant biotech hub overlooking scenic South Lake Union, Outpace Bio is led by pioneers in computational protein design and engineered cell therapies. Our culture is built on a foundation of respect and inclusion, which are fundamental to how we collaborate to revolutionize cell therapy through groundbreaking innovation rooted in rigorous science. Our Commitment to DiversityAt Outpace Bio, we believe that the highest performing teams include people from a wide variety of backgrounds and experiences. We are committed to cultivating an open, diverse, and inclusive culture for all employees. Recognizing that the best candidates do not always match all criteria of the job description, we encourage you to apply if you think you would be a good fit for the role and are inspired by our mission to cure disease by pushing the boundaries of biology. Our MomentumIn August 2024, Outpace Bio secured an oversubscribed $144 million Series B financing, led by RA Capital Management and supported by a premier syndicate of life science investors. This funding accelerates our pipeline of programmed T cell therapies, including our lead candidate OPB-101, a mesothelin-specific chimeric antigen receptor (CAR) T cell enhanced by Outpace's proprietary OUTSMART™, OUTLAST™, OUTSPACER™, and OUTSAFE™ technologies. OPB-101 is advancing toward IND clearance and first dosing in 2025 for patients with advanced platinum-resistant ovarian cancers. The Series B investment also supports the expansion of our pipeline, enabling us to develop additional transformative therapies leveraging our innovative plug-and-play technology platform. We are seeking a Senior Research Associate or Scientist I to join the viral vector production team at Outpace Bio. In this role, you will apply your scientific training and technical expertise to produce, purify, and characterize lentivirus for our cell and gene therapy applications. Working collaboratively with our Immunology, In vivo, and Cloning teams, you will ensure timely delivery of high-quality viral vectors while contributing to the development of novel viral assays and scale-up process development and improvement. Successful candidates will bring strong technical skills in mammalian cell culture, viral vector systems, viral vector process development, viral downstream purification, and analytical techniques including flow cytometry and molecular quantitation methods. We seek motivated, detail-oriented scientists who can work independently, troubleshoot technical challenges, and optimize protocols to advance our research programs. If you are a collaborative team player with strong problem-solving skills and enthusiasm for translating research into therapeutic impact, you will thrive in our fast-paced startup environment.Responsibilities (Position responsibilities may include, but are not limited to): Produce and characterize lentivirus supporting multiple Outpace research and pipeline programs Design and execute optimization experiments to improve viral titers, purity, and production efficiency Support scale-up of lentiviral production for process development and preclinical in vivo studies Perform and optimize functional titer and genome quantitation assays (flow cytometry, dd PCR/dPCR) Contribute to the development of improved upstream and downstream vector production and purification methodologies Contribute to experiment design, data analysis, and presentation of results in internal meetings Contribute to authoring or reviewing protocols, reports, or regulatory filings. Qualifications (Required): Ability to work independently on experimental design, execution, and troubleshooting Proficiency in mammalian cell culture and aseptic technique Hands-on experience with small-scale lentivirus production (adherent or suspension systems) Working knowledge of chromatography and filtration principles, downstream bioprocessing, and process scale-up Experience operating chromatography systems (AKTA or equivalent) Experience with filtration operations including UF/DF and depth filtration Highly organized with strong attention to detail and data quality Ability to learn new protocols quickly and apply critical thinking to problem-solving Effective scientific communication skills with ability to discuss results and collaborate with team members Experience measuring viral titer by flow cytometry and dd PCR/digital PCR Hands-on experience with transfection and transduction protocols Experience safely handling lentivirus under BSL-2 conditions 3+ years of research experience with mammalian cell culture systems Qualifications (Preferred): Master's or PhD in Virology, Molecular Biology, Immunology, Cell Biology, Gene Therapy, or related field; alternatively, Bachelor's degree with substantial position-relevant research experience in academic or industry setting Lentivirus process development in suspension culture formats (96-well, 24-well, shake flask, and 1-5L bio-reactor scales) Downstream viral vector processing including tangential flow filtration (TFF) and chromatography-based purification Familiarity with molecular biology techniques including nucleic acid isolation, quantification, and PCR-based methods Experience with mammalian cell culture in bioreactor systems Experience in a startup or fast-paced biotech setting Experience with Electronic Lab Notebook (ELN) systems (Benchling) Ability to manage multiple projects, prioritize workflow, meet deadlines, and collaborate effectively in cross-functional teams Familiarity with other viral vector platforms (gamma retrovirus, AAV) The salary range is based on Outpace Bio's reasonable estimate of base salary for this role at the time of posting. Actual base salary will be based on a variety of factors including skills, experience, and other related factors permitted by law. Working at Outpace offers an exciting opportunity to contribute to groundbreaking research that has the potential to transform the lives of people around the world. Outpace Bio Total RewardsFull time employees and their eligible dependents may enroll in Outpace's medical, dental, vision, life insurance, disability, flexible spending account, health savings account, commuter benefits, legal benefits, and 401k plan which includes an employer match. In addition, employees may receive stock option grants to be outlined in their offer of employment and a performance bonus. Outpace employees enjoy flexible PTO, paid sick leave which complies with local requirements, and fifteen paid holidays plus a winter shutdown. Outpace also offers a generous paid parental leave policy to all regular full-time employees. Outpace Bio is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. Applicants must be authorized to work in the United States. If you are legally authorized to work in the United States now, or in the future without any form of sponsorship, we encourage you to apply. Outpace Bio does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Outpace Bio or its employees is strictly prohibited unless contacted directly by Outpace Bio's internal team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Outpace Bio and will not owe any referral or other fees.

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.

Your New Company! At Altasciences we all move in unison to assist and work in the discovery, development, and manufacturing of new drug therapies to get them faster to people who need them. No matter your role, we all play an important part and you will have a significant impact on the health and well-being of people across the globe. By living our values of Employee Development, Customer Focus, Quality and Excellence, Respect and Integrity, we look to foster a passionate and collaborative work environment and we are looking for talented and enthusiastic people, like you, to join our growing team! Whether you're a recent college graduate or seeking your next career opportunity, it's time to discover your future at Altasciences. We are better together and together We Are Altasciences. About The Role As an LC-MS scientist, you will be responsible for assigned nonclinical bioanalytical studies method development, validation, sample analysis utilizing high performance liquid chromatography. You will also be responsible for direct interaction with clients, report writing, and adherence to regulatory guidelines. You will collaborate with other scientists, analysts, and departments in a team-oriented environment. You will possess knowledge and experience in a Good Laboratory Practice (GLP) environment and be able to adhere to GLP guidelines and practices. What You'll Do Here Maintain open and direct communication and attend recurring calls with clients. Serve as principal investigator or contributing scientist for LC-MS studies. Prepare all necessary driving documents for in-lab analysis. Complete and deliver scientific reports to clients on time. Prepare materials, including animal blood and tissues, for analytical assays to be run on LC-MS instrumentation. Maintain and document chain of custody for specimens, reagents, controls, and samples in the laboratory. Perform the assays according to protocol or other guiding documents with accurate documentation. Maintain and update facility records related to the laboratory and its analyses. Review laboratory records, procedures, and study data for completeness and accuracy. Assist in calibration, optimization, maintenance, and collection of data from analytical instruments. Perform routine laboratory maintenance (including cleaning, stocking supplies, equipment maintenance tasks, etc.). Document deviations to laboratory procedures and study protocols in a timely manner and provide input for corrective actions. Collaborate with internal regulatory departments to ensure quality and compliance oversight on GLP studies. Follow Altasciences' Standard Operating Procedures (SOPs), ensure compliance with GLP, FDA's ICH M10 guidelines, ALCOA+, USDA, and AAALAC guidelines, and can identify areas for improvement. Minimum Requirements Bachelor's degree in Immunology/Biology/Chemistry or other scientific related discipline plus a minimum of 5 years of relevant laboratory experience Experience in a Good Laboratory Practices (GLP) environment Experience with LC-MS instrumentation and software Ability to handle multiple projects, prioritize work, and meet deadlines. Preferred Requirements Master's degree or PhD in scientific related discipline 5 to 10 years of experience in a Good Laboratory Practices (GLP) environment Experience with Shimadzu and SCIEX instrumentation Experience with Watson What We Offer The pay range estimated for this position is $80,000 - $105,000 annually. Please note that hourly rates/salaries vary within the range based on factors including, but not limited to, prior relevant experience, skills, education, certification, location as well as internal equity and market data. Benefits Altasciences offers a wide variety of benefits to help our employees live healthy and fulfilling lives both at and outside of work. Altasciences' Benefits Package Includes: Health/Dental/Vision Insurance Plans 401(k)/RRSP with Employer Match Paid Vacation and Holidays Paid Sick and Bereavement Leave Employee Assistance & Telehealth Programs Altasciences' Incentive Programs Include: Training & Development Programs Employee Referral Bonus Program #LI-ES1 MOVING IN UNISON TO DELIVER A BIG IMPACT WITH A PERSONAL TOUCH Altasciences is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability or any other protected grounds under applicable legislation. Reasonable accommodations for persons with disabilities during the recruitment process are available upon request. Join us at Altasciences!

Job Title: Bench Scientist - IJob Description The In Situ Biology team is seeking a motivated associate scientist contractor to assist a team of scientists performing spatial biology experiments aimed at understanding targets for antibody-based therapeutics. The successful candidate will have experience in core histology methodologies, including processing, embedding, and sectioning. The ideal candidate will be energetic and enthusiastic about lab work and flexible in working with different investigators on various projects. Responsibilities * Process samples for downstream histological analysis. * Perform routine histology lab maintenance. * Perform immunohistochemistry experiments using autostainers. * Maintain and catalog a biospecimen repository. * Utilize a LIMS system for documenting experiments. Essential Skills * 1-2+ years' experience working in a laboratory. * BS or BA in a biological science. * Experience with histopathology techniques. * Ability to work collaboratively in a cross-functional research environment. * Highly organized with the ability to multitask. * Quick learner with willingness to learn new skills and technologies. * Excellent teamworking and communication skills and a proactive attitude. Additional Skills & Qualifications * Experience with sectioning is a plus. * Preference given to Histology Technicians (HTs). Job Type & Location This is a Contract position based out of Bothell, WA. Pay and Benefits The pay range for this position is $32.00 - $35.00/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 Dec 26, 2025. 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.

Introduction to the Team: Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Multi-Product AI team at Expedia Group enables unforgettable travel experiences. The team's responsibilities cover search ranking & recommendations for Brand Expedia across core lines of business including Flights, Cars, Packages, and Activities. Additionally, we're responsible for optimizing our interactions with travelers across this domain, including cache optimization, price forecasting, and next-best action modeling. Our approaches include both traditional ML as well as GenAI and Agentic AI solutions. We work closely with other teams in the Data & AI organization to continually improve our tools, processes, and platforms for building and deploying industry leading AI solutions. The Senior Machine Learning Scientist will be a technical lead for our team's Generative & Agentic AI projects. You will utilize RAG pipelines, LLM orchestration, MCP servers and other techniques to solve challenging business problems, implement best practices across the team, and act as a full-stack contributor to design, develop, and deploy AI solutions. You will work with a dynamic group of product managers, engineers, and scientists to achieve Expedia's business goals. In this role, you will: Enhance our recommendations across both agentic & traditional search placements Design and implement agentic AI systems and define best practices for the team Design agentic systems with capabilities including long-term memory, tool integration, multi-agent collaboration Lead end-to-end agent development lifecycles, including prompt engineering, RAG, evaluation, deployment, and monitoring Utilize MCP for enterprise data/tool connectivity Manage stakeholders with frequent communication and expectation management, meeting deadlines and minimizing surprises. Build relationships with other AI leads across the company to share knowledge & find collaboration opportunities Stay abreast of developments in machine learning & AI via publications and conferences Minimum Qualifications: Bachelor's, Master's, or PhD degree in a quantitative field 6+ years of industry experience as an AI Engineer or similar role 2+ years experience as a technical lead of Agentic AI projects Expertise with Python & AI libraries/frameworks such as Pytorch, TensorFlow, LangChain, LlamaIndex, HuggingFace Proven ability to build, deploy, and maintain AI projects in production environments Strong experience with LLM orchestration, prompt engineering, RAG pipelines Preferred Qualifications: Experience with ranking & recommendation systems Publications in top-tier ML conferences or journals Experience building or integrating MCP servers for tool exposure Familiarity with multi-agent/hierarchical agent systems

About 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. $120,000 - $200,000 a year 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.

Umoja Biopharma is an industry-leading biotech 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 our core values and principles that support our overall mission and strongly invite applications from enthusiastic individuals who share our commitment and help position Umoja to deliver on our goals. 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.

Job Title: Bench Scientist - IJob Description The In Situ Biology team is seeking a motivated associate scientist contractor to assist a team of scientists performing spatial biology experiments aimed at understanding targets for antibody-based therapeutics. The successful candidate will have experience in core histology methodologies, including processing, embedding, and sectioning. The ideal candidate will be energetic and enthusiastic about lab work and flexible in working with different investigators on various projects. Responsibilities + Process samples for downstream histological analysis. + Perform routine histology lab maintenance. + Perform immunohistochemistry experiments using autostainers. + Maintain and catalog a biospecimen repository. + Utilize a LIMS system for documenting experiments. Essential Skills + 1-2+ years' experience working in a laboratory. + BS or BA in a biological science. + Experience with histopathology techniques. + Ability to work collaboratively in a cross-functional research environment. + Highly organized with the ability to multitask. + Quick learner with willingness to learn new skills and technologies. + Excellent teamworking and communication skills and a proactive attitude. Additional Skills & Qualifications + Experience with sectioning is a plus. + Preference given to Histology Technicians (HTs). Job Type & Location This is a Contract position based out of Bothell, WA. Pay and Benefits The pay range for this position is $32.00 - $35.00/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 Dec 26, 2025. 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 (%20actalentaccommodation@actalentservices.com) for other accommodation options.