Top Senior Machine Learning Jobs

Design, build, and scale AI/ML solutions for research and insights products. Lead experiments and manage model deployment in production environments.

The Senior ML/AI Engineer designs and implements ML/AI solutions, leading end-to-end ML/AI pipelines, collaborating with teams, mentoring, and developing infrastructure for large-scale data-driven products.

As a Senior Machine Learning Engineer, you will own the ML stack, develop generation systems, improve quality, collaborate cross-functionally, and build data pipelines.

As a Software Engineer in Machine Learning, you will develop and deploy production-grade ML solutions, collaborate with teams, and establish operational excellence in ML practices.

The Machine Learning Engineer will help build a platform for interpretable AI systems in life sciences, leading research, implementing projects, and ensuring system performance.

Design, develop, and implement machine learning models and algorithms to solve complex problems, collaborating with data scientists and software engineers.

As a Machine Learning Engineer, you will leverage LLMs to improve language understanding, design ML models, and collaborate on innovative features.

The Machine Learning Solutions Architect designs and implements data solutions, overseeing model deployment and ensuring robust performance and integration within customer environments.

The Founding ML Engineer will develop and deploy ML systems, collaborate with teams, and translate ambiguous problems into production ML solutions, shifting between client delivery and platform development.

As a Lead AI/ML Engineer, you'll develop LLM-powered investment research tools, optimize ML models, and engage with clients to enhance product offerings.

Develop simulation technologies for autonomous driving, applying machine learning expertise to enhance realism and performance of the Waymo Driver through advanced algorithms and production-ready solutions.

As an Applied ML Software Engineer, you will design and implement ML models, manage cloud infrastructure, and optimize backend systems for AI-driven content discovery and recommendations.

The Senior Machine Learning Engineer will design multi-modal vision systems, optimize and deploy models, mentor junior engineers, and improve data strategies for robotic perception tasks.

Develop and translate advanced ML models for heart disease diagnostics, collaborate with cross-functional teams, conduct research, and manage projects.

As a Lead AI/ML Engineer, you'll develop and maintain ML/AI optimization solutions, mentor engineers, and collaborate on innovations. You'll manage projects from prototyping to production, ensuring high-quality technical execution in a cross-functional environment.

As a Senior ML Engineer, you will develop ML pipelines, work with language models, and build agentic AI systems while implementing MLOps practices.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

As a Machine Learning Engineer on the Personalization team, you'll develop and enhance recommendation systems, collaborate across teams on ML projects, and promote best practices in ML systems development.

The role involves designing and deploying ML models for card grading, managing the full ML lifecycle, building data pipelines, and collaborating with cross-functional teams.

The Machine Learning Engineer will support research and implementation of algorithms for simulations, develop ML models, and mentor teams while using modern tech practices in an agile environment.

As an AI Specialist SC, you will support major global clients by offering presales machine learning solutions, driving business transformations and technical discussions, while collaborating across teams.

Develop AI/ML models for 3D simulation and geology prediction, refine data pipelines, and integrate deep learning tech with product backend.

The Specialist Solutions Architect will design production-grade ML & AI applications, optimize AI workloads, and provide technical support while collaborating across teams to enhance Databricks' offerings.

Lead the design and implementation of ML models and systems for auto-labeling in robotics. Collaborate across teams and mentor junior engineers.

The Senior Engineer, Machine Learning develops audio and vision models for edge devices, collaborating with teams to implement and optimize ML solutions.