Data Scientist II - QuantumBlack, AI by McKinsey McKinsey & Co IncData Scientist II - QuantumBlack, AI by McKinseySeattle, WAAs a Data Scientist II, you will collaborate with clients and interdisciplinary teams to understand client needs, develop impactful advanced analytics and AI solutions, optimize code, and solve complex business challenges across industries. You will be based in one of our North America locations and collaborate closely with data scientists, data engineers, machine-learning engineers, designers, and product managers around the world.
NewMultimodal Generative AI Research Scientist (Intelligent Creation) - Global Frontier Tech Recruitment Program - 2027 Start (PhD) TikTok IncMultimodal Generative AI Research Scientist (Intelligent Creation) - Global Frontier Tech Recruitment Program - 2027 Start (PhD)Seattle, WAHands-on experience in at least one of the following areas: Image/video generation and editing; VLM/LLM fine-tuning; Efficient model design and optimization; Reinforcement learning methods (e.g., RLHF, DPO, GRPO). The role also involves designing efficient model architectures and advancing reinforcement learning techniques to improve model capability, scalability, and real-world performance in creation scenarios.
NewResearch Scientist Graduate (TikTok Trust and Safety) - 2027 Start(PhD) TikTok IncResearch Scientist Graduate (TikTok Trust and Safety) - 2027 Start(PhD)Seattle, WAThe algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously.
Staff Machine Learning Engineer (Research Scientist) - DFAI PlaidStaff Machine Learning Engineer (Research Scientist) - DFAISeattle, WA$249,120–$367,920 / yearPhD: 5–9+ years of industry experience with evidence of technical leadership (tech lead, principal/staff-equivalent roles) and end-to-end production ownership. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
Research Scientist III- #26-12768 US Tech SolutionsResearch Scientist III- #26-12768Redmond, WA$65–$71 / hourWe are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. $65-$71 per hour Redmond, WA Contract **Level III = 5-7 years of experience.** **Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today.
Senior Applied Scientist, Selling Partner Support Engagement AmazonSenior Applied Scientist, Selling Partner Support EngagementSeattle, WABasic Qualifications - 7+ years of applied research experience - 5+ years of building machine learning models for business application experience - PhD, or Master's degree and 5+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience in a variety of design, wire-framing, and prototyping tools - Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting - Experience identifying opportunities to integrate AI solutions into products and services to drive business value.
NewSr. Applied Scientist, Foundation Model Build, WW Sustainability Amazon.com IncSr. Applied Scientist, Foundation Model Build, WW SustainabilitySeattle, WAWe bring together applied scientists, environmental scientists, economists, and engineers to develop and scale solutions across carbon, water, waste, climate risk, and responsible supply chains-from early hypothesis to production deployment at Amazon scale. Working closely with economists, environmental scientists, engineers, and product leaders, the Senior Applied Scientist will determine which scientific and technical approaches can produce decision-ready results at Amazon scale.
Principal, Applied Scientist, AWS Applied AI Solutions AmazonPrincipal, Applied Scientist, AWS Applied AI SolutionsSeattle, WAThis represents a significant opportunity to develop frontier vision-language models, multi-modal AI, and agentic AI technologies that enable automated decision-making capabilities with massive business impact. You will be a technical leader who sets the research direction, architects novel solutions, and delivers breakthrough results that advance the state of the art while solving real-world business problems.
Research Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (PhD)Seattle, WAMinimum Qualifications: Currently pursuing a PhD in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027. Design and build scalable infrastructure for large-scale model training, evaluation, and inference.
Research Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (BS/MS) Beijing ByteDance Technology Co LtdResearch Scientist in AI Foundation Model Infrastructure - Seed - Graduates - 2027 Start (BS/MS)Seattle, WAMinimum Qualifications: Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027. Preferred Qualifications: Experience in distributed systems, machine learning systems, or related areas through internships is preferred.
NewResearch Scientist II, Special Projects Amazon.com IncResearch Scientist II, Special ProjectsSeattle, WAAmazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally.
Senior Applied Scientist , Amazon Ads Amazon.com IncSenior Applied Scientist , Amazon AdsSeattle, WAYou"ll collaborate with world-class engineers, scientists, and product leaders who are just as passionate about solving hard problems as you are. You"ll take models from concept to production, run A/B experiments, and see your work move metrics that matter - for advertisers, customers, and the business.
Applied Scientist II, Selling Partner Selection Success Amazon.com IncApplied Scientist II, Selling Partner Selection SuccessSeattle, WAAs a successful Applied Scientist on our talented team of applied scientists and economists, you will leverage the latest GenAI technology to solve complex problems, and collaborate with engineering, research, and business teams to deliver agentic experience on behalf of sour sellers. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).
Senior / Principal Clinical Scientist, Clinical Development Immunome IncSenior / Principal Clinical Scientist, Clinical DevelopmentBothell, WA$145,823–$182,019 / yearWe are advancing an innovative portfolio of therapeutics, supported by a leadership team with deep experience in the design, development, and commercialization of cutting-edge therapies, including antibody-drug conjugates. This individual will work closely with cross-functional teams, including clinical operations, regulatory affairs, and research and development, to ensure the successful progression of multiple clinical programs.
Applied Scientist, Amazon Cryptographic Libraries Amazon.com IncApplied Scientist, Amazon Cryptographic LibrariesSeattle, WAThe Amazon Cryptographic Libraries (ACL) team builds the cryptography that AWS services and a growing open-source community depend on, including AWS-LC, our FIPS-validated open-source libcrypto. Some days you are debugging a proof obligation that does not discharge; other days you are reading a paper on a new verification technique or helping refine an algorithm implementation so it is both fast and amenable to proof.
Language Data Scientist, Alexa International AmazonLanguage Data Scientist, Alexa InternationalBellevue, WASpecifically, you will: - Own data analyses for customer-facing features, including launch go/no-go metrics for new features and accuracy metrics for existing features - Handle unique data analysis requests from a range of stakeholders, including quantitative and qualitative analyses to elevate customer experience with speech interfaces - Lead and evaluate changing dialog evaluation conventions, test tooling developments, and pilot processes to support expansion to new data areas - Continuously evaluate workflow tools and processes and offer solutions to ensure they are efficient, high quality, and scalable - Provide expert support for a large and growing team of data analysts - Provide support for ongoing and new data collection efforts as a subject matter expert on conventions and use of the data - Conduct research studies to understand speech and customer-Alexa interactions - Collaborate with scientists and product managers, and other stakeholders in defining and validating customer experience metrics Basic Qualifications - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - 1+ years of guiding and coaching a group of researchers experience - 1+ years of working with or evaluating AI systems experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - Experience applying theoretical models in an applied environment Preferred Qualifications - Ph.
Data Scientist II, Selection Growth Science Amazon.com IncData Scientist II, Selection Growth ScienceSeattle, WAAs a successful data scientist on our talented team of scientists and economists, you will leverage the latest technology to solve complex problems, and collaborate with engineering, research, and business teams to deliver seller-centric experience on behalf of sour sellers. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).
Applied Scientist, SCOT-Inbound Systems AmazonApplied Scientist, SCOT-Inbound SystemsBellevue, WADescription As part of IRR (Inventory Routing and Replenishment) organization within SCOT-Inbound systems, Applied Scientists own algorithms powering inventory routing, replenishment, and modeling / simulation of Amazon's fulfillment network utilizing optimization and machine learning toolsets. Given the scale of problems we solve for our customers and mission-critical nature of our solutions, systems thinking driven approach, with attention to algorithmic complexity, solution quality, simplicity, and extensibility are of critical importance.
Sr. Applied Scientist, Amazon Ads AmazonSr. Applied Scientist, Amazon AdsSeattle, WA$167,100–$226,100 / yearKey job responsibilities As a Senior Applied Scientist in Amazon Ads, you will: - Research and implement cutting-edge ML approaches, including applications of generative AI and large language models - Develop and deploy innovative ML solutions spanning multiple disciplines - from ranking and personalization to natural language processing, computer vision, recommender systems, and large language models - Drive end-to-end projects that tackle ambiguous problems at massive scale, often working with petabytes of data - Build and optimize models that balance multiple stakeholder needs - helping customers discover relevant products while enabling advertisers to achieve their goals efficiently - Build ML models, perform proof-of-concept, experiment, optimize, and deploy your models into production, working closely with cross-functional teams including engineers, product managers, and other scientists - Design and run A/B experiments to validate hypotheses, gather insights from large-scale data analysis, and measure business impact - Develop scalable, efficient processes for model development, validation, and deployment that optimize traffic monetization while maintaining customer experience Basic Qualifications - 5+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. 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.
NewApplied Scientist - Machine Learning, Amazon Transportation Amazon.com IncApplied Scientist - Machine Learning, Amazon TransportationBellevue, WAAmazon"s Middle Mile Surface Research Science seeks an Applied Scientist to invent and build machine learning models that improve how Amazon plans and operates its transportation network. Amazon"s transportation network moves millions of truckloads of freight between vendors, warehouses, and customers using a fleet of trucks, trains, and airplanes, on time and at low cost.