Top Remote Senior Level Machine Learning Engineer Jobs in Seattle, WA

4 Days AgoSaved
In-Office or Remote
Seattle, WA, USA
196K-309K Annually
Senior level
196K-309K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and scale customer-facing generative AI applications for Atlassian Rovo Chat. Develop agent harnesses that improve quality, reliability, and latency; apply advanced machine learning innovations; lead complex projects from technical design through launch; mentor senior engineers; and collaborate cross-functionally with internal teams and customers.
Top Skills: Artificial IntelligenceGenerative AiMachine LearningSoftware Development
14 Days AgoSaved
Remote or Hybrid
Seattle, WA, USA
265K-332K Annually
Senior level
265K-332K Annually
Senior level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Lead the Ranking & Relevance team of software and machine-learning engineers. Own retrieval, ranking, recommendation, and personalization systems that match patients with therapists. Drive the transition from filter-based matching to outcome-aware machine learning, establish shared marketplace objectives, improve experimentation and model monitoring, and build evaluation and drift-detection capabilities. Hire and develop engineers, set technical standards, and partner with product, data science, payer, and provider engineering teams in a sensitive healthcare domain.
Top Skills: Ai Coding ToolsFeature PipelinesInformation RetrievalLearning-To-RankMachine LearningOnline ExperimentationPersonalization SystemsRecommendation Systems
14 Hours AgoSaved
Easy Apply
Remote
United States
Easy Apply
225K-240K Annually
Senior level
225K-240K Annually
Senior level
Healthtech • Software
Leads and mentors Applied Scientists developing, evaluating, and deploying machine learning and language-model solutions for healthcare workflows. Translates clinical and business problems into scalable AI systems, applies rigorous statistical methods and experimentation, partners with engineering and cross-functional stakeholders, and ensures models are reliable, reproducible, and safe. The role also contributes hands-on technical work, recruiting, onboarding, and team development.
Top Skills: AWSClassical Machine LearningLarge Language ModelsPythonPyTorchRelational ExtractionRetrievalScikit-Learn
YesterdaySaved
Remote
United States
208K-260K Annually
Senior level
208K-260K Annually
Senior level
Healthtech • Social Impact • Software • Telehealth
Leads the AI Engineering team across applied AI features and foundational ML infrastructure. Responsibilities include managing Senior and Staff engineers, hiring and coaching, deploying LLM-powered capabilities, building MLOps and AI observability platforms, balancing product delivery with platform investment, and ensuring privacy, compliance, evaluation rigor, and clinical safety in production systems.
Top Skills: Ai ObservabilityAWSFeature StoresGCPLlmsMachine LearningMlopsNlpRagSearch And Ranking Systems
4 Days AgoSaved
Easy Apply
Remote
United States
Easy Apply
210K-275K Annually
Senior level
210K-275K Annually
Senior level
AdTech • Artificial Intelligence • Big Data • Machine Learning • Marketing Tech • Mobile • Software
Develop and maintain production machine learning models, build scalable training and serving technologies, optimize real-time and batch ML pipelines, and monitor model performance and drift. The role involves deep neural networks, recommendation systems, automated retraining, ML research, engineering excellence, and communicating technical concepts to diverse audiences. Candidates need 6+ years of industry ML experience, strong coding skills, and experience deploying neural networks at scale.
Top Skills: Batch ProcessingDeep Neural NetworksMachine LearningMachine Learning PipelinesReal-Time ProcessingRecommendation Systems
New

Cut your apply time in half.

Use ourAI Assistantto automatically fill your job applications.

Use For Free
Application Tracker Preview
12 Days AgoSaved
Easy Apply
Remote or Hybrid
United States
Easy Apply
170K-286K Annually
Senior level
170K-286K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build and operate production machine learning systems for Safety AI, including low-latency APIs, data pipelines, model serving, evaluation, monitoring, and rollout infrastructure. Process large-scale camera and telematics data, optimize cloud and edge-to-cloud execution, track model performance and drift, and partner with applied scientists, firmware engineers, platform teams, and product managers to deliver reliable safety features.
Top Skills: SparkAWSAzureC++Ci/CdComputer VisionDockerGCPGoGpusGrafanaInfrastructure As CodeJavaKubernetesMachine LearningMlflowPythonPyTorchRayRay ServeScala
21 Days AgoSaved
Remote or Hybrid
United States
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.
Top Skills: C++Computational GeometryLarge Language ModelsLinear AlgebraMachine LearningNumpyPandasPythonPyTorchRosScipySQLStatistical ModelingTime-Series AnalysisVision-Language Models
Reposted 29 Days AgoSaved
Remote or Hybrid
United States
149K-252K Annually
Senior level
149K-252K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.
Top Skills: AirflowAWSCloudbeesDbtJenkinsPythonPyTorchQlikScikit-LearnSnowflakeSparkSQLTableauTensorFlow
One Month AgoSaved
Remote
United States
200K-250K Annually
Senior level
200K-250K Annually
Senior level
Fintech • Information Technology • Software
Leads and manages an applied machine learning team developing fraud detection and identity verification models. Responsibilities include people management, coaching, code review, production ML systems, model lifecycle ownership, experimentation, deployment, monitoring, fraud research, cross-functional prioritization, and communicating results. The role remains hands-on while partnering with Product, Engineering, Risk, and leadership to drive measurable business impact and shape future product strategy using machine learning and AI.
Top Skills: AWSElasticsearchFlyteLlmsMlflowNeo4JOpensearchPandasPostgresPython 3Scikit-LearnXgboost
Reposted One Month AgoSaved
Remote or Hybrid
United States
180K-220K Annually
Senior level
180K-220K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Machine Learning • Financial Services
Design and deploy machine learning models for financial document processing, optimize large language models, collaborate with cross-functional teams, and guide junior peers in a fast-paced environment.
Top Skills: DockerKubernetesPythonPyTorchTensorFlow
All Filters
JobType
New Jobs
Job Category
Experience
Industry
Company Name
Company Size

Sign up now Access later

Create Free Account