Senior scientist jobs in Sammamish, WA

Do you ever struggle to explain your work? How's this: "Do you shop at Amazon?” Every day, tens of millions of customers visit Amazon to discover, research, and buy products. Millions of interactions are processed each hour, as customers navigate and explore our vast selection of products, features, and services around the world. The Amazon Stores Ads Monetization Team's vision is to enable customers to discover products they love from brand owners around the world. Amazon Stores are the product showroom for the “everything store”, our reach and impact uniquely positions us to innovate on behalf of our customers. The The Amazon Stores Ads Monetization Team's partners with organizations across Amazon to drive high-quality advertising experiences across geographies, intents, missions, products and businesses; while ensuring a cohesive, lovable shopping experience. We are looking for a Principal Applied Scientist to drive the development signals to optimally blend sponsored and organic recommendations on the site. You will work with science and business leaders from Shopping and Advertising to build Machine Learning (ML) models to determine when, where, and how many ads to show depending on customer characteristics and shopping missions. You will partner with product managers, other scientists, and software engineers to implement your ideas at scale. Key job responsibilities - Partner with teams in Shopping and Ads Amazon to develop signals that let ads program know when and where to serve ads on the Amazon site - Develop ML models to improve ads monetization decisions in Amazon Stores, allowing us to personalize experiences depending on customer characteristics and shopping missions - Collaborate with product managers, scientists, economists, and software developers to incorporate models in production systems - Act as the machine learning authority for the Amazon Stores Advertising team with Amazon senior leaders and other science organizations - Help craft the multi-year science strategy for the organization About the team This role is within a brand-new organization focused on delighting customers while driving revenue. Prospective candidates should have the desire and capability to drive results from the 'ground floor' of an impactful and important charter. BASIC QUALIFICATIONS- 5+ years of hands-on work in predictive modeling and analysis experience - PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field - Experience working in predictive modeling and analysis - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience programming in Java, C++, Python or related language - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment PREFERRED QUALIFICATIONS- 10+ years of relevant work in industry or academia experience - Experience creating novel algorithms and advancing the state of the art - Experience in online advertising 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 $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

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

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. Master's degree or equivalent experience in Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception, Experimental Psychology, Audio Engineering, Acoustics, Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a related field. Preferred Qualifications: Experience with tonal languages. PhD degree or equivalent experience. Experience with AI generative speech. Experience with modeling audio quality. Pay range is $71 - $76 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.

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

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.

About the Team The future of e-commerce customer service is intelligent, efficient, and AI-driven. Our team is dedicated to replacing traditional human-agent customer service with an advanced AI-powered conversational system that provides instant, intelligent, and seamless support for TikTok's global e-commerce platform. By leveraging Large Language Models (LLMs) and NLP, we are building an AI customer service system that can understand user queries, resolve disputes, guide transactions, and enhance the overall shopping experience without the need for human intervention. Our cutting-edge AI is designed to handle complex customer interactions, including answering product inquiries, resolving order issues, processing refunds, and assisting sellers with operational tasks. Through LLM post-training, we ensure that our AI assistant is continuously learning and improving, providing more accurate, context-aware, and human-like interactions. By joining us, you will be at the forefront of transforming customer service in e-commerce, helping build an AI system that understands, adapts, and provides intelligent solutions-all while reducing costs and improving efficiency for merchants and the platform. What You Will Do * Develop AI-Powered Customer Service Systems: Design and implement an AI-driven conversational customer service agent that can handle e-commerce inquiries, complaints, refunds, dispute resolutions, and logistical issues, replacing traditional human customer service agents. * LLM Post-Training & Data-Efficient Learning: Apply state-of-the-art LLM post-training techniques, such as instruction tuning, reinforcement learning from human feedback (RLHF), and continual learning, to optimize AI customer service responses with minimal labeled data. * Benchmark and training data construction: Identify challenging customer service interactions, such as policy clarifications, dispute handling, and multi-turn complaint resolution, and construct specialized datasets to enhance AI training. * Develop Multilingual Customer Support: Build AI models capable of handling customer service interactions across multiple languages and cultural contexts, ensuring accurate translation and appropriate responses for a diverse global audience. * Optimize Model Efficiency & Deployment: Work on model compression, quantization, and efficient inference techniques to ensure the AI customer service assistant can run at scale with low latency and high reliability. Responsibilities 1. Develop AI Customer Support Systems: Build and optimize AI-driven customer service models capable of handling high-volume, complex user inquiries while ensuring high response accuracy and reliability. 2. Enhance LLM-Based Customer Interaction Models: Implement LLM post-training strategies to improve customer support interactions, reducing errors, hallucinations, and irrelevant responses. 3. Create Automated Dispute Resolution & Policy-Adaptive AI: Develop intelligent models capable of handling disputes, verifying transaction details, and ensuring platform compliance in automated responses. 4. Develop Multilingual Support & Translation Models: Enhance the platform's AI translation capabilities for real-time multilingual customer service interactions, ensuring smooth cross-language communication. 5. Refine Response Evaluation Metrics: Define and implement quality evaluation metrics for AI-generated responses to track customer satisfaction and improve conversational AI quality through A/B testing and iterative optimization. 6. Enable AI-Seller Collaboration: Build AI-powered seller assistance tools to help merchants quickly respond to customer inquiries, manage store operations, and resolve disputes efficiently. 7. Optimize Large-Scale Model Deployment: Work on model compression, inference optimization, and edge AI deployment to ensure real-time, high-quality customer service experiences at scale. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.Minimum Qualifications: * Bachelor's degree in Computer Science or related technical field * 3+ working experience in one of the following fields: machine learning, NLP, and computer vision * Experience with software development in at least one of the following programming languages: C++, Python, Go, Java Preferred Qualifications * LLM Development & Post-Training Expertise: Experience in fine-tuning, distillation, or reinforcement learning of large language models for conversational AI applications. * Multilingual AI Development: Proficiency in multilingual NLP, machine translation, and cross-lingual dialogue modeling. * E-commerce Business Acumen: Understanding of e-commerce policies, dispute resolution workflows, and merchant-buyer interactions to enhance AI service design. * Advanced NLP & Deep Learning: Strong grasp of AI agents, retrieval augmented generation, mixture of experts, sparse attention, reinforcement learning, inference time scaling etc. for improving AI dialogue quality. * Scalability & Efficiency: Experience in distributed model training, low-latency inference, and edge AI for large-scale customer service applications. * -- Join us and be part of the next-generation AI customer service revolution-where AI replaces traditional human support, making e-commerce interactions smarter, faster, and more seamless for millions of users worldwide! This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening.

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 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.

Immunome is a clinical-stage targeted oncology company committed to developing first-in-class and best-in-class targeted therapies designed to improve outcomes for cancer patients. We are advancing an innovative portfolio of therapeutics, drawing on leadership that previously played key roles in the design, development, and commercialization of cutting-edge targeted cancer therapies, including antibody-drug conjugate therapies (ADCs). Our most advanced pipeline programs are varegacestat (formerly AL102), a gamma secretase inhibitor which is currently in a Phase 3 trial for treatment of desmoid tumors; IM-1021, a ROR1-targeted ADC which is currently in a Phase 1 trial; and IM-3050, a FAP-targeted radioligand, which recently received IND clearance. Our pipeline also includes IM-1617, IM-1335, and IM-1340, all of which are preclinical ADCs pursuing undisclosed targets with expression in multiple solid tumors. Position Overview The Scientist II, DMPK will contribute to the design and execution of nonclinical pharmacokinetics/ADME strategies to support oncology drug candidates from discovery through development. This role will partner closely with cross-functional teams to deliver high-quality data that informs decision-making and regulatory submissions. Reporting to the Executive Director, ADME, the Scientist II will work on multiple modalities, with a strong emphasis on ADC programs. Responsibilities Design and execute stage-appropriate DMPK/ADME studies to support candidate selection, clinical development, and regulatory submissions. Collaborate with cross-functional teams to ensure integration of DMPK considerations into program strategy and timelines. Analyze PK, TK, and PKPD data, perform modeling and simulation, and provide clear interpretation to inform program decisions. Participate in Translational Sciences and Development team activities, contributing scientific expertise in DMPK. Represent the ADME function at internal and external meetings, in collaboration with senior scientists, communicating timelines, data, and implications effectively. Maintain awareness of evolving best practices and regulatory expectations in DMPK sciences. Qualifications PhD in a relevant discipline with 0-2 years of industry experience in DMPK/ADME, or MS with 5+ years relevant industry experience. Experience with ADCs required; additional experience with small molecules, monoclonal antibodies, or other modalities preferred. Hands-on expertise in PK/TK analysis, PKPD modeling, and study design. Knowledge of both non-regulated and regulated bioanalysis. Skills & Competencies Strong problem-solving skills with the ability to manage multiple projects in a fast-paced environment. Excellent communication skills, with the ability to present complex scientific data clearly to diverse audiences. Collaborative approach with the ability to work across disciplines to achieve program goals. Washington State Pay Range $132,274 - $159,338 USD E/E/O Immunome, Inc. is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. E-Verify Immunome, Inc. is a participant in E-Verify. Please review the following notices: E-Verify Participation Poster | Right to Work Poster (English) | Right to Work Poster (Spanish).

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.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors. What You'll Do * Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs. * Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities. * Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions. * Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields Required Qualifications * Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 1+ years professional experience. * Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio. * Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques. * Experience with post-training techniques such as fine-tuning, alignment or distillation. * Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters. * Excellent communication skills and a strong great teammate What You'll Bring * Experience on large-scale generative model training * Experience on synthetic data generation * Experience of working with large-scale datasets * Experience of working with product teams on technology transfers #FireflyGenAI Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

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.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. The Kuiper Global Capacity Planning team owns designing, implementing, and operating systems that support the planning, management, and optimization of Kuiper network resources worldwide. We are looking for a talented scientist to implement Kuiper's long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping Kuiper execute on its business plans globally. As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results. Key job responsibilities In this role, you will: Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization. Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources. Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network. Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other. Analyze large amounts of satellite and business data to identify simulation and optimization opportunities. Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. - 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 in patents or publications at top-tier peer-reviewed conferences or journals - 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. 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.

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.

* 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 building machine learning models or developing algorithms for business application * Experience using Unix/Linux Roles & Responsibilities: * Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals * Innovate new methods for contextual knowledge extraction and information retrieval, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, compute, latency and quality * Work on integration with GenAI models with customer's event management tracking tool. AI Translation/Transcription (such as NovaSonic from AWS) within AWS Connect to generate real-time notes within customer's event management tracking tool. * Research in advanced customer understanding and behavior modeling techniques * Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification * Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results * Think Big about the arc of development of conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems * Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports TCS Employee Benefits Summary: * Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-RJ2 Salary Range - $120,000-$200,000 a year

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

The Selling Partner Communities (SPC) organization is dedicated to ensuring every Selling Partner (SP) achieves satisfaction with their Amazon selling experience. SPC serves as a vital bridge between sellers/vendors and Amazon, creating and managing platforms where they can connect, share knowledge, and receive help. The team's mission encompasses listening to SP feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. We are seeking a Sr. Applied Scientist to join our Communities team. The successful candidate is a skilled scientist capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. Key job responsibilities The Senior Applied Scientist in the Selling Partner Communities (SPC) organization plays a crucial role in developing and implementing advanced AI and machine learning solutions to enhance the selling partner experience on Amazon. This role requires strong ownership of all technical aspects throughout the full project lifecycle, while partnering closely with the business to define requirements and exercise good judgment in balancing speed and complexity. As a senior AS on our team you will: - Handle challenging problems that directly impact millions of selling partners - Independently collect and analyze data - Design, develop and deliver scalable models, using any necessary programming, machine learning, and statistical analysis software - Collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research - Consult with engineering teams to design data and modeling pipelines which successfully interface with new and existing software - Participate in design and implementation across teams to contribute to initiatives and develop optimal solutions that benefit the SPC organization - Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications. About the team The Selling Partner Communities (SPC) organization serves as a vital bridge between SPs and Amazon, creating and managing platforms where sellers can connect, share knowledge, and receive help. The team's mission encompasses listening to feedback, advocating for experience improvements, and empowering SPs through effective, relevant, and timely communications that demonstrate Amazon's commitment to building lasting partnerships. Within SPC, the Science team plays a critical role in leveraging artificial intelligence and machine learning technologies to enhance seller experiences and drive data-driven decisions. The team serves as technical advisors helping shape the organization's scientific vision and strategy, identifying and tackling intrinsically hard, previously unsolved problems that require novel scientific approaches. The team focuses on developing comprehensive frameworks for measuring and monitoring seller sentiment, improving content discovery and engagement, enhancing operational efficiency for Community Assistance Managers (CAMs), bringing clarity to complex challenges through scientific expertise, and creating AI-powered tools for content generation and validation. 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 with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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.