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.
Staff Machine Learning Engineer Remitly, Inc.Staff Machine Learning EngineerSeattle, WA$208,000–$260,000 / yearExperience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.
Staff/Senior Machine Learning Engineer, Search & Knowledge Platform Apple IncStaff/Senior Machine Learning Engineer, Search & Knowledge PlatformSeattle, WAAs part of our team, you will be leveraging and improving upon the latest deep learning techniques, such as LLM and RAG, in order to understand queries and user intents, rank documents, and find useful answers to users' questions. As a Staff/Senior Machine Learning Engineer, you play a critical role in developing world-class Search and Q&A experiences for Apple customers with cutting-edge search technologies and large language models.
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 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.
Senior Machine Learning Engineer- Identity & Trust Remitly, Inc.Senior Machine Learning Engineer- Identity & TrustSeattle, WAAdvance 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.
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, Computer Vision Metropolis Technologies, Inc.Senior Machine Learning Engineer, Computer VisionSeattle, WA$150,000–$200,000 / yearThe actual base salary offered is determined by a number of variables, including, as appropriate, the applicant''s qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical.
Machine Learning Engineer Robinhood Markets IncMachine Learning EngineerBellevue, WA$161,138–$200,000 / yearCross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.
Senior Machine Learning ML Engineer Truveta IncSenior Machine Learning ML EngineerSeattle, WA$175,000–$200,000 / yearWork fluently with embeddings and vector stores - experienced in building or integrating retrieval-augmented generation (RAG) pipelines, managing vector databases (e.g., FAISS, Pinecone, Chroma, Azure AI Search, or similar), and leveraging semantic search or context injection to enhance reasoning. We Are Seeking Senior ML Engineers Who: Design and reason with agentic AI frameworks - experienced in building multi-agent workflows using frameworks such as LangGraph, AutoGen, or CrewAI, integrating reasoning, planning, and memory to create intelligent, goal-driven systems.
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.
Senior Machine Learning Engineer, Sponsored Ads ChewySenior Machine Learning Engineer, Sponsored AdsBellevue, Washington$148,500–$225,000 / yearDirectly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions. An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for atleast 3 years designing optimization and machine learning solutions for large scale applications.
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.
Machine Learning Scientist III - Ads + Search & Recommendations Wayfair LLCMachine Learning Scientist III - Ads + Search & RecommendationsSeattle, WA$194,040–$206,167 / yearHere are some of the key projects our team works on: Candidate Generation/Retrieval: Selecting the right subset of products for our final scoring layers from our entire catalog efficiently through deep understanding of our product catalog and our customers at extreme scale using low latency situations across multiple types of Candidate Generators and Retrieval stages. Experience deploying machine learning models in production environments, with a focus on cloud-based solutions such as GCP (BigQuery, GCS, Vertex AI, Composer), as well as workflow orchestration tools like Airflow, model tracking using MLflow, and containerization technologies like Docker.
NewSenior Machine Learning Engineer - Infra/Ops - Fraud Plaid IncSenior Machine Learning Engineer - Infra/Ops - FraudSeattle, WAThe team owns the full ML lifecycle-from feature pipelines and model training to production serving and monitoring-building reliable, scalable systems that deliver high-quality fraud detection as we grow to support hundreds of customers. The Data team within Plaid's Fraud organization builds the machine learning systems that power Plaid's fraud detection products, leveraging Plaid's unique network data to identify and stop fraud before it happens.
NewSenior Machine Learning Engineer (Research Scientist) - Fraud Plaid IncSenior Machine Learning Engineer (Research Scientist) - FraudSeattle, WAIn this research role, you'll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid's network. In close partnership with Machine Learning Engineers, you'll translate promising research into production-ready solutions and communicate your findings internally and externally to advance the technical bar for fraud machine learning at Plaid.
Machine Learning Engineer Intern (E-Commerce Knowledge Graph) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Intern (E-Commerce Knowledge Graph) - 2027 Start (PhD)Seattle, WAResponsibilities: Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development; Architect knowledge maps detailing buyer and product connections. Experience in at least one of the technological areas: LLM, natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification etc.
Machine 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.
Senior Machine Learning Engineer(NLP/CV/Multimodal), TikTok E-commerce Knowledge Graph TikTok IncSenior Machine Learning Engineer(NLP/CV/Multimodal), 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.