Top Senior Machine Learning Jobs

Oversee machine learning projects, build ML pipelines, deploy models, collaborate with teams, mentor engineers, and ensure data quality.

As a Senior Machine Learning Engineer on the Perception Mapping team, you'll develop ML models for semantic map detection, integrate them into autonomy systems, and lead technical efforts in model validation and best practices.

As a Staff Machine Learning Engineer - AI Tech Lead, you will lead the design of AI systems for security operations, focusing on scalable architectures, AI safety, and mentoring. Responsibilities include overseeing technical evaluations, production workflows, LLM fine-tuning, and collaboration with teams to enhance AI capabilities.

Lead the development of machine learning models for lending products, manage a data science team, and ensure compliance with regulations.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

As a Senior ML Engineer, you'll design, develop, and deploy ML models for product features, collaborate with teams, and drive research initiatives.

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.

Join Xometry as a Senior Machine Learning Engineer to develop and implement machine learning models, enhancing predictive capabilities and leading technological evaluations for innovation.

The Senior Machine Learning Engineer will develop core ML models, manage data pipelines, and collaborate with stakeholders to deliver scalable ML solutions.

The role involves developing AI/ML solutions, analyzing operational data for insights, and collaborating with teams to enhance infrastructure reliability.

The Machine Learning Engineer will build tools for interpretable AI, optimize infrastructure, and integrate workflows into products, ensuring reliability and performance.

As a Staff ML Engineer, you'll lead complex model quality improvements in clinical AI, spanning research and engineering, optimizing performance under high compliance conditions.

The role involves developing ML-driven infrastructure for complex physics simulations, enabling autonomous agent behaviors and integrations with large-scale computational systems.

As a Senior Machine Learning Research Engineer, you'll build and optimize large-scale ML training systems, focusing on distributed infrastructures and performance enhancements for innovative model training.

The role involves developing and optimizing scalable AI/ML systems, collaborating across teams, and enhancing workflows to support drug discovery.

Develop innovative machine learning algorithms for modeling proteins, collaborate with biologists, and refine predictions through experiments.

Lead Machine Learning Engineer at CapTech will design data-driven solutions, implement machine learning systems, and provide technical leadership. Responsibilities include collaborating with clients and teams, analyzing large datasets, and managing ML practices.

Lead Machine Learning Engineers at CapTech design and implement data-driven solutions, build machine learning systems, mentor teams, and analyze large datasets.

The Lead Machine Learning Engineer will design and implement data-driven solutions, provide technical leadership, and deploy machine learning systems for clients.

Lead Machine Learning Engineer at CapTech focuses on designing and deploying scalable machine learning systems and providing technical leadership.

Design and implement data-driven machine learning solutions. Lead teams, strategize with clients, and optimize scalable ML systems for business needs.

The Lead Machine Learning Engineer will design and deploy machine learning systems, lead technical strategies, and collaborate with teams to solve data-driven problems.

The Lead Machine Learning/Data Science Engineer at CapTech designs and deploys machine learning solutions, providing technical leadership and collaborating with teams to meet client needs using large datasets and cloud platforms.

Responsible for designing and implementing scalable machine learning solutions, providing technical leadership, and collaborating with clients to meet business needs in data engineering.

The Machine Learning Engineer designs and implements data-driven solutions, builds scalable ML systems, and collaborates with clients to meet business needs.