Senior Machine Learning Scientist Adaptive Biotechnologies CorpSenior Machine Learning ScientistSeattle, WARemote$144,600–$217,000 / yearBase salary is thoughtfully considered upon offer and is determined through multiple evaluation checks throughout the interview process, including: a candidate's ability to meet minimum qualifications (skills/experience/education), a candidate's ability to thoughtfully address preferred qualifications, current market conditions, and internal pay equity. Model outputs often highlight gaps in available data or suggest new experimental directions, while newly generated datasets provide additional signal for improving and validating predictive models.
NewMachine Learning Engineer, New Grad Unity Technologies SFMachine Learning Engineer, New GradBellevue, WashingtonWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Machine Learning Engineer, Drive DoorDash IncMachine Learning Engineer, DriveSeattle, WA$137,100–$201,600 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. The Drive Machine Learning team builds the prediction and intelligence systems that power this business, including delivery and pickup time estimation, merchant prep-time prediction, order release optimization, logistics decision-making, and AI-powered delivery quality signals.
Manager, Machine Learning Engineering, Web Ads Ranking SnapchatManager, Machine Learning Engineering, Web Ads RankingBellevue, WA$229,000–$343,000 / yearBuild the evaluation framework that enables rapid iteration and high-quality decision-making, working closely with Data Science and Product partners to define success metrics and measure outcomes. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.
Machine Learning Engineer, Level 4 SnapchatMachine Learning Engineer, Level 4Bellevue, WA$173,000–$259,000 / yearThe Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. 3+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 2+ year of post-grad machine learning experience; or PhD in a relevant technical field.
NewMachine Learning Engineer, NLP - TikTok E-commerce Knowledge Graph TikTok IncMachine Learning Engineer, NLP - TikTok E-commerce Knowledge GraphSeattle, WAFamiliar with commonly used machine learning and deep learning algorithms, understand basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), have practical experience in deep learning training and reasoning model tuning. Our team is responsible for developing state-of-the-art NLP/ML algorithms and strategies to improve user consumption experience, inspire merchants service quality and revenue, and build a fair and flourishing ecosystem on our E-commerce Platform.
NewMachine Learning Engineer, New Grad Unity Software IncMachine Learning Engineer, New GradBellevue, WA$117,000–$152,000 / yearWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Principal Machine Learning Scientist - Agentic Experiences Expedia Group IncPrincipal Machine Learning Scientist - Agentic ExperiencesSeattle, WA$224,000–$313,500 / yearIntroduction to the Team: Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. From building cutting-edge conversational AI that anticipates traveler needs to developing proactive solutions for personalized trip planning, your work will shape the future of travel assistance and directly impact millions of users worldwide.
Staff Machine Learning Engineer - Seattle Haus AnalyticsStaff Machine Learning Engineer - SeattleSeattle, OregonWith support from PhD economists, data scientists, and growth experts, Haus’ AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and product ionization of machine learning (ML) solutions for complex and high-impact problems.
Senior Machine Learning Engineer Field AI IncSenior Machine Learning EngineerSeattle, WA$180,000–$215,000 / yearWe bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
Senior Software Engineer, Machine Learning Infrastructure and Quality Apple IncSenior Software Engineer, Machine Learning Infrastructure and QualitySeattle, WAPython, Go, or JavaScript Experience with Machine Learning, its common practical applications, and commonly used frameworks Proven understanding of Operating System concepts Proven ability crafting, maintaining and implementing tests plans across all application layers Applying statistical concepts to validate and QA data and models QA and automation experience involving ML workflows is a huge plus Posses the capability to accept ambiguity and deliver extraordinary results on tight schedules B.S., M.S., or Ph. The cloudOS team is responsible for all facets of delivering OS and system services on Apple silicon servers, including driving hardware and software initiatives to enable new Apple silicon-based systems in data centers.
Machine Learning Engineer Manager Zoom Communications IncMachine Learning Engineer ManagerSeattle, WAMust have 5 years of experience in the following: 5 years of experience utilizing programming languages Python, C, C++, or CUDA; 5 years of experience building scalable software systems; 5 years of experience utilizing deep learning frameworks such as PyTorch and TensorFlow; 5 years of experience developing and deploying business application logic for handling requests and routing to deployed machine learning models such as LLMs, as well as, feature stores in DynamoDB, MongoDB, MySQL, and ElasticSearch; 5 years of experience leveraging authentication mechanisms such as Asymmetric JWT using a complex and securely designed key management system, such as AWS KMS and internally developed CSMS; 5 years of experience leveraging machine learning models, such as LLM prompts and agentic workflows, internally developed and third-party, and deploy them in a microservice environment powered by Docker and Kubernetes (AWS EKS), and an internal platform called ZCP, using languages such as Python and Java; 5 years of experience writing machine learning workflows operating on up to terabytes of data, deploy, and verify them on DataBricks using technologies like Spark and SQL. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
Sr. Machine Learning Engineer - AI ZoomSr. Machine Learning Engineer - AISeattle, WAMust have 3 years of experience in the following: 3 years of experience in design, development, and deployment of document understanding and processing pipelines; 3 years of experience in deploy, monitor, and maintain machine learning models (LLMs and agentic workflows) in a microservice environment using Docker, Kubernetes (AWS EKS), and internal platforms (ZCP); 3 years of experience in evaluating external data sources to enhance AI search/document understanding; 3 years of experience in developing performance metrics, monitoring systems, and optimizations for AI search pipelines to ensure scalability, efficiency, and low latency; 3 years of experience in design and maintaining data ingestion, preprocessing, and transformation pipelines for both structured and unstructured data, ensuring high data quality and reliability; 3 years of experience in architect and optimizing large-scale Machine Learning workflows to process structured and unstructured data for knowledge graphs and search services; 3 years of experience collaborating with cross-functional teams of engineers, product managers, and domain experts to define requirements and implement scalable, production-ready ML services; 3 years of experience optimizing knowledge graph algorithms for performance, scalability, and reliability. Conduct research on cutting-edge Machine Learning, NLP, and knowledge graph techniques, evaluating external data sources to enhance search and document understanding capabilities; Develop/maintain documentation, best practices, guidelines; Mentor junior engineers and contribute to team knowledge-sharing, best practices, and internal technical guidelines; Lead the design, development, and deployment of AI search pipelines, including document understanding and retrieval systems, using libraries such as Docling; Evaluate external data sources to enhance AI search/document understanding; Develop performance metrics, monitoring systems, and optimizations for AI search pipelines to ensure scalability, efficiency, and low latency; Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems; Design and maintain data ingestion, preprocessing, and transformation pipelines for both structured and unstructured data, ensuring high data quality and reliability.
Sr. Machine Learning Engineer PitchBook Data IncSr. Machine Learning EngineerSeattle, WA$170,000–$240,000 / yearAs a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
Machine Learning Engineer PitchBook Data IncMachine Learning EngineerSeattle, WA$125,000–$180,000 / yearAs a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
NewSenior Machine Learning Engineer/Scientist- Identity & Trust RemitlySenior Machine Learning Engineer/Scientist- Identity & TrustSeattle, WashingtonAdvance our modeling capabilities with techniques suited to adversarial domains (e.g., graph-based methods for fraud rings, sequence models for behavioral patterns, and semi-supervised or anomaly detection approaches for novel attacks). You will frame ambiguous fraud problems as testable hypotheses, advance our modeling techniques beyond established baselines, and carry your ideas from experimentation through to reliable production systems.
Machine Learning Engineer II The Capital Group Companies, Inc.Machine Learning Engineer IISeattle, WA$159,354–$254,966 / yearIn this role you will work with a high performing team of applied scientists, machine learning engineers, and software development engineers that has delivered a number of AI/ML systems to production, including machine learning systems, data pipelines, financial models, and generative AI systems. We are seeking a candidate who has hands-on experience architecting and delivering working systems and who is passionate about leveraging modern machine learning and software engineering innovations to produce superior long-term investment outcomes.
Applied Machine Learning Engineer IUNUApplied Machine Learning EngineerSeattle, WAApplied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. We are seeking an Applied Machine Learning Engineer for our AI team to developing products for our clients and the greenhouse industry.
Senior Machine Learning Engineer I // II Signifyd IncSenior Machine Learning Engineer I // IISeattle, WARemote$160,000–$190,000 / yearOur advanced technology, combined with a team genuinely invested in our clients' success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Collaborate Across Functions - Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Graduate/PhD Research Intern, Machine Learning Constellation SpaceGraduate/PhD Research Intern, Machine LearningSeattle, WashingtonYou will research and develop cutting-edge machine learning models to solve complex aerospace challenges, from predictive maintenance to autonomous orbital navigation. Constellation is seeking an ambitious Graduate or PhD Research Intern to join our Data Science / AI team.