Associate scientist jobs in Lakewood, WA

Are you passionate about applying machine learning and advanced statistical techniques to protect one of the world's largest online marketplaces? Do you want to be at the forefront of developing innovative solutions that safeguard Amazon's customers and legitimate sellers while ensuring a fair and trusted shopping experience? Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions? If yes, we invite you to join the Amazon Risk Intelligence Science Team. We're seeking an exceptional scientist who can revolutionize how we protect our marketplace through intelligent automation. As a key member of our team, you'll develop and deploy state-of-the-art machine learning systems that analyze millions of seller interactions daily, ensuring the integrity and trustworthiness of Amazon's marketplace while scaling our operations to new heights. Your work will directly impact the safety and security of the shopping experience for hundreds of millions of customers worldwide, while supporting the growth of honest entrepreneurs and businesses. Key job responsibilities • Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent seller behavior, account takeovers, and marketplace manipulation schemes • Innovate with the latest GenAI technology to build highly automated solutions for efficient seller verification, transaction monitoring, and risk assessment • Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to prevent and detect sophisticated abuse patterns across the marketplace • Learn, explore and experiment with the latest machine learning advancements to protect customer trust and maintain marketplace integrity while supporting legitimate selling partners • Collaborate with cross-functional teams to develop comprehensive risk models that can adapt to evolving abuse patterns and emerging threats About the team You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success. BASIC QUALIFICATIONS- 4+ years of building machine learning models for business application experience - PhD, or Master's degree and 3+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - 4+ years of applied research experience 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.

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.

Job Title: Research Associate Duration: 07 Months Pay Rate: $30.00 - $33.75/ hr on W2 100% Onsite! Work Schedule-Standard hours Applies scientific and / or technical skills to complete assigned work within own group / project team and analyzes data from experiments Performs work in a structured environment under direction from supervisor within own work group / team Uses established procedures and methodologies Works predominantly within established procedures Assists with mouse tumor biology models by performing health checks, tumor measurements, dosing, sample collection, and data entry Although the position is full-time(40 hours/week), the candidate may be asked to work occasional weekends or holidays Basic Qualifications: Associate Degree Required At least 1.5 years of prior hands-on in vivo mouse work experience required Preferred Qualifications: At least 2 years of experience in animal care/husbandry preferred, including proficiency in the monitoring and care of mouse models of disease (i.e. cancer or autoimmunity models) Experience in mouse dosing techniques, including oral gavage, and intraperitoneal and subcutaneous injection Experience with mouse blood and tissue collection and processing Excellent record-keeping skills and experience with data entry and data management Ability to work in a fast-moving team environment Experience with cell culture techniques The starting hourly compensation for this assignment is the following range $30- $33.75/hr). While the final, individual compensation and any available benefits will be determined by your employer of record ASK Staffing, Inc (and not client), factors that will be included in making the final determination may include the characteristics of the assignment, such as demonstrated experience, required skill, and the geographic location where the job is performed. The starting hourly compensation may be subject to change.

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.

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).

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

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

Amazon Agentic AI is looking for world class scientists to join its newly created org focusing on agentic AI. This group is entrusted with developing core natural language processing, agents, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS Agentic AI, a generative AI-powered assistant for enterprise computing, and work with other acclaimed engineers and world famous scientists. As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs. You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. - 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. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.

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.

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!akes you! Key job responsibilities The ideal candidate will apply state of art natural language processing and computer vision research to video centric digital media and will be responsible for creating a strong environment for applied science in order to recruit, retain and develop top talent. The candidate will lead a team of applied scientist and lead the research direction, create roadmaps for forward-looking research and communicate them to senior leadership. The person will hire and develop the applied scientist and grow the science team to meet the always increasing needs of our customers. - 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.

Atlas is a nationwide leader in civil engineering materials testing and geotechnical consulting services for environmental industrial and infrastructure construction projects Headquartered in Denver CO Atlas currently has over 3500 employees with offices throughout the US including Alaska & Hawaii Its no accident that Atlas creates a better experience for infrastructure and environmental projects Its how we are built with the best people in the industry with the reach and expertise to help at any and every step of the project and with a heart led approach that puts quality and safety at the center of everything we do Were just built to be better We are a great company We are seeking an Environmental Scientist to join our Seattle WA team Come join us Job responsibilities include but are not limited to Perform soil and groundwater sampling for subsurface assessment and remediation projects Oversee drilling and log soil samples Compile detailed well organized datafield notes and photographs Prepare reports including analysis of data and development of conclusions and recommendations Prepare chain of custody forms for analytical testing and record survey data on approved forms Travel locally and regionally in the Pacific Northwest to project sites using company vehicle Implement Atlas health and safety policies and procedures Perform field work related to environmental due diligence remediation industrial hygiene and Brownfields projects in the Seattle area and the Pacific Northwest region Work closely with regional management to perform requested clientproject tasks in both a field and office setting Positively interact with internal and external clients service partners and contractors Promote a safety first culture that values proactive measures and continuous improvement Collaborate with other team members toward a common goal of providing client centric services with high quality interactions and deliverables Embrace and model the Atlas core values including trust mastery heart and life Manage assigned project tasks on time within scope and within budget in a safe manner Perform routine maintenance of field equipment utilized by the Seattle office Assist with cost estimating and procurement of equipment and parts Willingness to be cross trained for other environmental assignments as projects are awarded Minimum requirements Atlas is currently seeking a staff or project level Environmental Scientist for our Seattle Washington office supporting current and upcoming projects in our Washington and Pacific Northwest RegionThe ideal candidate will have good technical and organizational skills and be able to work independently on assigned project tasks with limited supervision Preference will be given to candidates with a university or college degree in environmental science geology or other applied science or a high school diploma with several years of applicable experience in a similar role with an environmental or engineering consulting firm Position includes the performance of Phase I and Phase II Environmental Site Assessments; environmental compliance audits; soil vapor and groundwater sampling; stormwater compliance sampling; andor mold indoor air quality investigations lead inspections asbestos air monitoring and asbestos surveys for private and public sector clients Technical requirements Preferred candidate will be 40 hour HAZWOPER trained with 8 hour annual refreshers completed Preferred candidate will also have a working knowledge of United States Environmental Protection Agency and State of Washington environmental regulations and standard procedures and methodologies related to due diligence site investigation remediation industrial hygiene andor environmental compliance projects State of Washington certifications preferred as applicable Candidate should be proficient with the Microsoft Office Suite Word Excel and PowerPoint and possess excellent report writing time management and problem solving skills Proficiency in CADD andor GIS is also considered a plus Candidate must possess the ability to work independently and efficiently with minimal supervision and as part of a professional team to meet organization and project objectives Candidate must also be able to pass a standard drug screen and motor vehicle background check Other miscellaneous qualities Ability to travel primarily within Washington but also within Atlas Pacific Northwest RegionDependable organized detail oriented and resourceful Positive flexible team oriented approach with the willingness and desire to work as part of a multi disciplinary professional team Ability to work efficiently and independently Benefits Atlas offers a comprehensive benefit program to meet the diverse needs of our employees Depending on your employment status Atlas benefits include health dental vision life AD&D voluntary life AD&D disability benefits leaves of absence 401k paid time off paid holidays employee assistance program educational assistance program Who We Are We strive to be the most sought after infrastructure and environmental solutions company known for our unique values driven approach and brought to life by the industrys most exceptional people Atlas provides professional testing inspection engineering environmental and consulting services from more than 100 locations nationwide We deliver solutions to both public and private sector clients in the transportation commercial water government education and industrial markets With a legacy of providing consistent quality and results Atlas creates a better experience at every stage of an infrastructure project We connect the best experts in the industry to deliver value from concept to completion and beyond This means doing everything our clients expect and then raising the expectations in a way that only our people can Our Values Life We enhance quality of life We value people and safety above all else Heart As our hallmarks we act with compassion empathy and respect Trust We work together as partners doing what we say with full accountability Mastery Always striving for the highest quality we ensure greatness inspires all our work Atlas EEOC Statement Atlas is an equal opportunity employer We prohibit discrimination and harassment of any kind based on race color sex religion sexual orientation national origin disability genetic information pregnancy or any other protected characteristic as outlined by federal state or local laws This policy applies to all employment practices within our organization including hiring recruiting promotion termination layoff recall leave of absence compensation benefits training and apprenticeship Atlas makes hiring decisions based solely on qualifications merit and business needs at the time For more information read through our EEO Policy httpswwweeocgovsitesdefaultfiles2023 0622 088EEOCKnowYourRights612ScreenRdrpdf LI KS2

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

* 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 Dow, we believe in putting people first and we're passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We're a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you're looking for a challenge and meaningful role, you're in the right place. Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting ************ About this role Dow has an exciting opportunity for a Technical Service & Development (TS&D) Scientist in the Consumer Solution's Consumer Electronics, Computing and Communications materials market located in Auburn, MI or Hayward, CA. This customer-facing role applies in-depth conceptual and practical knowledge in this discipline to support customer needs by leading the development of new applications and by providing technical knowledge on the use, handling and management of Dow products. Join Dow's cutting-edge team at the intersection of materials science and computing innovation-where your expertise in tech meets the transformative power of silicone materials shaping the future of electronics for our customers. This is a Technical Service & Development (TS&D) application engineering role to serve Consumer Electronics, Computing and Communications customers of Dow Consumer Solutions' silicone-based engineered materials and technologies. These customers include, but are not limited to, Chip producers, Hyperscalers, device manufacturers and electronics contract manufacturers and this role is expected to drive Electronics Materials business growth globally. The responsibilities include providing technical support to customers, qualifying Dow products at customers and value chain partners, maintaining good customer relationships together with account managers, identifying growth opportunities in the market, and driving new application development projects. The role requires high initiative, problem solving, good project management skills and the ability to work successfully in varying environments and responsibilities. Excellent communication skills and the ability to cooperate closely with customers and across internal functions are essential. A passion for technology and a high affinity for understanding customer needs and application requirements are important. Furthermore, the team is seeking a hands-on candidate who is comfortable working in a lab setting as part of this role. This role is to be based in Auburn, Michigan or Hayward, California. Some travel within the United States and overseas travel to other Dow locations may be required to promote business, enhance one's competency and share learnings. Many of the customers in this technology space are located on the West Coast, Southwest US or in Asia, among other regions. Responsibilities Working closely with Account Managers, Research Scientists, Application Technology Leaders, Product Technology Leaders and Technical Service and Development Engineers and Technologists, he/she will have responsibility for new customer and new application development. The key responsibilities of this job include: Customer Intimacy & Market Insight - Understand customer application processes, translate needs into material performance, define Critical to Quality items (CTQs), and apply broad market and competitive knowledge to solve technical issues and drive spec-in with strategic accounts Technical Support & Leadership - Provide TS&D to strategic accounts, respond to technical questions, and lead global cross-functional teams to enhance customer engagement from spec-in through commercialization. Strategic Awareness & Value Creation - Monitor competition and market trends, integrate insights into group activities, and articulate differentiated technical solutions and synergies that maximize value for Dow and customers. Project & Intellectual Capital Management - Apply exemplary project methodologies, manage technical project pipelines, contribute to intellectual capital strategy and technology maps, and lead IP development. Communication & Thought Leadership - Deliver clear presentations and reports, influence internal and external audiences, author and present at industry conferences, and coach others on articulating the value of Dow technologies. Required Qualifications A minimum of a bachelor's degree or relevant military experience at or above a U.S. E6 ranking or Canadian Petty Officer 2nd Class or Sergeant. Degree or higher in Polymer Science, Chemical Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering, Materials Science or an applied science related field Minimum 6 years' working experience in electronics-related material technologies, preferably in consumer electronics or computing applications A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process Preferred Qualifications Proven track record of Creativity, Innovation, and Project Management Experience in working with the North America Magnificent 7 in Tech as well as relevant parties in the value chain Problem Solving Skills and Mechanical Aptitude a plus Experience in providing technical support to customers Excellent written and oral communication skills Previous experience working on a project team Cross-functional and/or cross-geography experience Note: This position requires approximately 25-30% of travel. Skills Presentations: The ability to effectively communicate ideas, findings, and proposals to an audience using structured formats such as slides, visuals, and verbal delivery. This includes tailoring the message to different audiences, whether internal stakeholders or external clients. Operational Efficiency: The capability to optimize processes, resources, and workflows to achieve maximum productivity with minimal wasted effort or expense. It involves streamlining operations to deliver better outcomes faster and more cost-effectively. Professional Networking: The practice of building and maintaining relationships with colleagues, industry peers, and other professionals to exchange information, support career development, and uncover new opportunities or collaborations. Active Listening: The skill of fully concentrating, understanding, responding, and remembering what is being said in conversations. It's essential for understanding customer needs, collaborating with teams, and responding thoughtfully. Change Management: The ability to guide, manage, and support individuals, teams, and organizations through transitions or transformations. This includes adapting to new technologies, processes, or strategies while minimizing resistance and maximizing engagement. Innovation: Demonstrated ability to generate and apply novel ideas that improve processes, products, or services-assessed through real-world examples rather than credentials Additional Notes California Exempt Roles: For positions based in California, Dow is required by law to include the pay scale that is reasonably expected to represent the pay range for the position. This pay range is specific to the State of California and accounts for both new and experienced employees with consideration to factors including but not limited to skillset, experience, and sustained job performance (or similar jobs). This job is eligible for an additional 18% geographic differential associated with the California location and this position. A reasonable pay range for this position is: $98,400 - $175,200 Note: Domestic relocation is not available for this role. Benefits - What Dow offers you We invest in you. Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career. You bring your background, talent, and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing. Here are just a few highlights of what you would be offered as a Dow employee: Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives. Benefits and programs to support your physical, mental, financial, and social well-being, to help you get the care you need...when you need it. Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources to help you achieve your long term financial-goals. Employee stock purchase programs (availability varies depending on location). Student Debt Retirement Savings Match Program (U.S. only). Dow will take the value of monthly student debt payments and apply them as if they are contributions to the Employees' Savings Plan (401(k)), helping employees reach the Company match. Robust medical and life insurance packages that offer a variety of coverage options to meet your individual needs. Travel insurance is also available in certain countries/locations. Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building. Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs. Competitive yearly vacation allowance. Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents). Paid time off to care for family members who are sick or injured. Paid time off to support volunteering and Employee Resource Group's (ERG) participation. Wellbeing Portal for all Dow employees, our one-stop shop to promote wellbeing, empowering employees to take ownership of their entire wellbeing journey. On-site fitness facilities to help stay healthy and active (availability varies depending on location). Employee discounts for online shopping, cinema tickets, gym memberships and more. Additionally, some of our locations might offer: Transportation allowance (availability varies depending on location) Meal subsidiaries/vouchers (availability varies depending on location) Carbon-neutral transportation incentives e.g. bike to work (availability varies depending on location) Join our team, we can make a difference together. About Dow Dow (NYSE: DOW) is one of the world's leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting ************ As part of our dedication to inclusion, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available on ************ Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR ************** and select option 8.

Our purpose is to bring hope to life by enabling life-changing therapies for patients around the globe, creating a healthier and happier tomorrow. Our mission is to work side by side with our customers in order to improve patients' lives by bringing new biopharmaceuticals to market. Job Summary We are looking for a Process Development Associate II to join our Analytical and Formulation Development (AFD) team. AFD develops robust analytical methods to support drug release testing, upstream and downstream development, and non-GMP studies. The team also provides molecular characterization and scientific expertise for deviation investigations. In this role, you'll focus on executing analytical methods - primarily HPLC/UHPLC and capillary electrophoresis (CE-SDS, ic IEF)-to support process development activities. You'll work closely with experienced scientists, contribute to method optimization, and help drive continuous improvement projects within the department. This position is a great fit for someone who enjoys hands-on lab work, collaborating with teammates, and learning in a supportive environment. Location: Bothell, WA Schedule: Monday through Friday, onsite Compensation Range: $66,960 - $92,070 Essential Job Duties / Responsibilities Perform analytical testing in support of process development following established protocols. Assist in the development and optimization of analytical methods. Support method transfer to Quality Control. Coordinate and perform instrument maintenance and troubleshooting. Ensure accurate and complete documentation of results. Author, review, and edit analytical protocols and reports. Contribute to laboratory operations and continuous improvement efforts. Leadership Skills Communicates clearly and effectively with colleagues and customers. Solves straightforward problems and explains logic and decisions to others. Collaborates with teammates to support project and department goals. Qualifications BS/BA degree in biochemistry, protein chemistry, or related field, plus 2+ years of experience in an analytical lab. Required: Experience in chromatography (HPLC/UHPLC), preferably across multiple modes (SEC, IEX, RP, affinity). Preferred: Experience with capillary electrophoresis (CE-SDS, ic IEF). Strong interpersonal and teamwork skills; able to thrive in a fast-paced environment. Ability to adapt quickly to changing priorities or technical challenges. Strong data management skills and attention to detail in documentation and execution. Our culture at AGC Biologics is defined by the six core values: Knowledge, Trust, Quality, Ingenuity, Accountability and Teamwork. Our core values stem from our team members and are embedded into our DNA. They provide a common language and understanding of how we as an organization are connected across three continents. Our core values serve as a compass and reminder of how we achieve our purpose of bringing hope to life for patients around the globe. AGC Biologics is a leading global biopharmaceutical Contract Development and Manufacturing Organization (CDMO) with a strong commitment to delivering the highest standard of service as we work side-by-side with our clients and partners, every step of the way. We provide world-class development and manufacture of mammalian and microbial-based therapeutic proteins, plasmid DNA (pDNA), messenger RNA (mRNA), viral vectors, and genetically engineered cells. Our global network spans the U.S., Europe, and Asia, with cGMP-compliant facilities in Seattle, Washington; Boulder and Longmont, Colorado; Copenhagen, Denmark; Heidelberg, Germany; Milan, Italy; and Chiba, Japan. We currently employ more than 2,500 employees worldwide. Our commitment to continuous innovation fosters the technical creativity to solve our clients' most complex challenges, including specialization in fast-track projects and rare diseases. AGC Biologics is the partner of choice. To learn more, visit *************** W ant to keep posted about our growth and learn more about our company? Follow us on LinkedIn and give us a quick Like on Facebook! AGC Biologics offers a highly competitive compensation package and a friendly, collaborative culture that values personal initiative and professional achievement. AGC Biologics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. The Role We are seeking a highly motivated and versatile Scientist I to join our Design Hypothesis Testing team. In this role, you will drive the end-to-end process of recombinant protein production - from construct design and molecular cloning through expression, purification, and biophysical characterization. Your work will directly support discovery programs by delivering high-quality protein reagents and generating quantitative insights into molecular interactions. You will collaborate closely with cross-functional teams, including AI scientists, biologists, and assay developers, to optimize protein workflows, troubleshoot production challenges, and develop scalable, high-throughput systems. This is an opportunity to build integrated expertise across molecular biology, protein biochemistry, and biophysical analysis within a dynamic, interdisciplinary environment. Responsibilities Design and cloning: Design and generate expression constructs (gene synthesis, codon optimization, vector cloning, mutagenesis) to support protein engineering and reagent generation. Expression: Express recombinant proteins in multiple systems (E. coli, mammalian, cell-free, etc), optimizing yield and solubility. Purification: Purify proteins using chromatographic methods (affinity, ion exchange, size exclusion, etc.) and ensure reproducibility, purity, and stability. Protein characterization: Assess protein quality (SDS-PAGE, aSEC, etc), binding properties (BLI, ELISA, etc), and developability properties (ELISA, HIC, etc) Biophysical analysis: Design and execute binding and kinetic studies using BLI (Octet/Gator) and/or SPR (Biacore). Analyze sensorgrams, fit binding models, and determine kinetic constants (kon, koff, KD). Optimization and troubleshooting: Identify and address challenges related to expression, aggregation, or stability, and implement optimization strategies. High-throughput support: Contribute to automation or parallelized expression/purification workflows to enable rapid protein generation. Collaboration and documentation: Maintain rigorous electronic lab notebook records, manage reagent inventory, communicate results clearly to cross-functional teams, and contribute to SOP development and continuous workflow improvements. Qualifications Required Ph.D. in Biochemistry, Molecular Biology, Structural Biology, Protein Engineering, or a related discipline with 0-2 years of postdoctoral or industry experience; or B.S./B.A. in a relevant field with 8-10 years of hands-on laboratory experience in protein expression and purification. Demonstrated expertise in recombinant protein expression and purification across multiple host systems. Expertise with BLI (Octet/Gator) or SPR (Biacore) instrumentation, data analysis, and assay optimization. Proficiency in molecular cloning (PCR, Gibson, Golden Gate, mutagenesis) and expression construct design. Strong problem-solving skills and ability to troubleshoot independently across molecular and biophysical workflows. Excellent organization, record-keeping (ELN), and communication skills. Comfortable managing multiple projects in a collaborative, fast-paced research environment. Preferred Familiarity with automation or high-throughput expression/purification pipelines. Hands-on experience with chromatography systems (e.g., ÄKTA) and analytical methods (HPLC, MS). Understanding of protein stability, aggregation, and formulation principles. Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

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

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited in applying large scale machine learning to solve various real-world problems in E-commerce. Responsibilities: * Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok. * Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. * Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation. * Design and build supporting/debugging tools as needed.Minimum Qualifications: * MS/PhD in Computer Science, related technical field or equivalent industrial research experience. * 3+ years of working experience in one of the following fields: recommendation algorithm, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Preferred Qualifications: * Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow or PyTorch. * Passionate about solving complex and challenging problems

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.