Machine Learning Engineer, Pricing - TikTok E-commerce Global Supply Chain and Logistics TikTok IncMachine Learning Engineer, Pricing - TikTok E-commerce Global Supply Chain and LogisticsSeattle, WADeeply understand the e-commerce business scenario, and refine the direction of logistics operation mode optimization, logistics cost reduction, and service quality improvement through data mining; Participate in product design, work closely with product, operations, and management teams to promote the productization and implementation of algorithm models to continuously empower business. Familiar with common machine/deep learning, causal inference, and operational optimization algorithms, including classification, regression, clustering methods, as well as mathematical programming and heuristic algorithms; Familiar with at least one framework of TensorFlow / PyTorch / MXNet and its training and deployment details, as well as the training acceleration methods such as mixed precision training and distributed training; Preferred Qualifications.
Machine Learning Engineer HiveMachine Learning EngineerSeattle, WA$120,000–$180,000 / yearEverything involved in applying a ML model to a production use case, including, designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.
NewMachine Learning Engineer - Multimodal Intelligence Apple IncMachine Learning Engineer - Multimodal IntelligenceSeattle, WAYou will own end-to-end model delivery: building and scaling data curation and training pipelines, fine-tuning and optimizing large multimodal models for on-device and hybrid execution, standing up reproducible evaluation and regression testing for text and visual understanding, and hardening promising approaches into robust, maintainable production systems under real latency, memory, power, and privacy constraints. You will work closely with modeling, platform, hardware, and product engineering teams across Apple - taking future hardware design and product needs into account as you make implementation decisions - and you will have the opportunity to collaborate broadly to deliver the best possible products.
Senior Machine Learning Engineer, TikTok Trust and Safety TikTok IncSenior Machine Learning Engineer, TikTok Trust and SafetySeattle, WAThis position will work with a team of excellent research scientists and machine learning engineers who can take initiative, design and develop advanced machine learning solutions, and deploy them directly to TikTok s global platform. Our Trust and Safety RD team is fast-growing and responsible for building machine learning models and systems to identify and defend internet abuse and fraud on our platform.
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.
Staff Machine Learning Engineer - Seattle HausStaff Machine Learning Engineer - SeattleSeattle, WAWith 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- 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.
Machine Learning Engineer, Level 5 SnapchatMachine Learning Engineer, Level 5Seattle, WA$209,000–$313,000 / year5+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience. 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 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.
Machine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM/Agent) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Intern (E-Commerce Supply Chain & Logistics-LLM/Agent) - 2027 Start (PhD)Seattle, WAParticipate in building domain LLM model capabilities for e-commerce supply chain and logistics, including continued pre-training / CPT, SFT, preference optimization, reinforcement learning such as GRPO / PPO, reward or judge model design, model compression, inference cost and latency optimization, and landing scenarios such as address correction, trajectory prediction, logistics cost analysis, customer service semantic understanding, and root-cause analysis. Support agent architecture, engineering, evaluation, and evolution work, including runtime orchestration, memory and state management, model / tool routing, permission-safe execution, observability, benchmark and Golden Set evaluation, bad case attribution, regression testing, online feedback loops, and continuous improvement of context, skills, workflows, and model behavior.
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.
Machine Learning Engineer Graduate (TikTok-Data-Search-Recommendation-Global E-Commerce) - 2027 Start TikTok IncMachine Learning Engineer Graduate (TikTok-Data-Search-Recommendation-Global E-Commerce) - 2027 StartSeattle, WAThis full-time Graduate role provides early-career engineers the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry s cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience.
Machine Learning Engineer Graduate (Data-Global E-Commerce-Search) - 2027 Start TikTok IncMachine Learning Engineer Graduate (Data-Global E-Commerce-Search) - 2027 StartSeattle, WAThis full-time Graduate role provides early-career engineers the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry s cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience.
Machine Learning Engineer Graduate (TikTok-Data-Search-Local Service) - 2027 Start TikTok IncMachine Learning Engineer Graduate (TikTok-Data-Search-Local Service) - 2027 StartSeattle, WAThis full-time Graduate role provides early-career engineers the opportunity to join one of our engineering teams where you will have the opportunity to: Participate in the improvement of the search core algorithm, possible directions include: Content understanding: Applying the industry s cutting-edge NLP and CV technology and leveraging LLM to match the most relevant videos for each search query, and continuously improve the relevance of TikTok search. Search systems engineering: designing, building, testing, and maintaining search services, data pipelines, tools, or platform components that support search quality, reliability, latency, and user experience.
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.
NewSenior Machine Learning Engineer, AI-Native Evaluation & Search Atlassian CorpSenior Machine Learning Engineer, AI-Native Evaluation & SearchSeattle, WAWe build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power Atlassian's AI products. You will develop and productionize machine learning systems for search, retrieval, ranking, conversational experiences, and AI agents.
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, 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.