Top Senior Machine Learning Engineer Jobs in Seattle, WA

As a Senior Machine Learning Engineer, you'll develop and optimize models for Chewy's Sponsored Ads to enhance product selection and advertising effectiveness. You will collaborate with cross-functional teams, lead model deployment, and publish research to elevate machine learning applications while mentoring junior scientists.

As a Senior Machine Learning Engineer, you will build scalable ML systems, lead the ML lifecycle, mentor engineers, and collaborate across teams.

As a Senior Machine Learning Engineer, you'll design and develop workflows utilizing vision-language models, manage data pipelines, and collaborate with multiple teams to enhance model accuracy and efficiency.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

As a Senior Machine Learning Engineer, you will design and build ML models for patient-provider matching, focusing on personalization and ranking. Responsibilities include model development, A/B testing, and collaborating across teams to improve patient experiences.

The Senior Machine Learning Engineer will design, build, and deploy AI agents at scale, enhancing Dropbox Dash's search and organization features. Requires extensive ML experience and proficiency in Python and ML libraries.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML models, improve algorithms, mentor juniors, and ensure code quality.

The Senior Solutions Architect will design and implement cloud solutions focused on AI/ML and GPU technologies, collaborating with customers and internal teams to drive innovation and cloud adoption.

The Senior Machine Learning Engineer at GEICO will design, develop, and deploy AI solutions, mentor junior staff, and collaborate with cross-functional teams to drive business value and innovation in generative AI workflows.

Develop and evaluate quantization and sparsity recipes for LLM inference, run large-scale post-training and quantization-aware experiments, build evaluation and numerics-debugging tools, collaborate with inference framework teams, and publish or upstream improvements to production inference libraries.

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.

As a Senior Machine Learning Engineer, you'll design and implement large-scale ML systems to enhance ad relevance and performance, mentor engineers, and collaborate with cross-functional teams in Mandarin.

As a Senior Machine Learning Engineer at Axon, you will develop AI solutions for public safety, collaborate on projects, architect platforms, and ensure ethical AI development.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Senior Machine Learning Engineer will manage the full ML lifecycle, collaborating with teams to develop scalable systems that improve product decisions and empower monetization strategies.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for health data analysis, collaborating with cross-functional teams to ensure reliability and regulatory compliance.

Develop and deploy large-scale, fault-tolerant agentic AI systems, lead initiatives, and ensure trustworthy AI agent interactions. Require 5+ years experience and advanced degree in relevant fields.

As a Senior Machine Learning Engineer, you will develop and optimize AI-powered features, enhancing insights from diverse data types using advanced ML and NLP techniques.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Develop and deploy advanced ML solutions for OCR and NLP, optimizing models for performance and integrating them into production workflows while collaborating with cross-functional teams.

The role involves developing and optimizing machine learning systems for voice experiences, focusing on speech recognition and language understanding. Responsibilities include training models, ensuring performance metrics, and collaborating with cross-functional teams for successful deployment.

The Senior Machine Learning Engineer designs and deploys scalable ML solutions, oversees model lifecycle management, enhances data integration, and ensures compliance with regulations.

The role involves researching and developing probabilistic models for multi-sensor fusion and multi-target tracking to enhance real-time airspace awareness systems, as well as transitioning algorithms into production-ready systems.