Top Machine Learning Jobs

Build and enhance ML systems for custom model training, oversee projects from data intake to model delivery, ensure model quality at scale, create evaluation frameworks, and collaborate with engineers.

Lead the development of ML models for autonomous vehicle behavior planning, mentor junior engineers, and advance machine learning technology for safe navigation.

The role involves designing, deploying, and improving machine learning models for identity verification and fraud prevention at Stripe, collaborating across various teams.

Develop advanced ML solutions to improve Stripe's payment products. Work on the ML lifecycle from research to deployment, collaborating with product teams.

The Machine Learning Engineer will extract features from financial data, build predictive models, and enhance Clair's Data Science platform while collaborating with various teams.

Implement and optimize production-ready analytics code, maintain Python repositories, research data sources, build predictive models, and collaborate with teams.

The ML Researcher / Modeling Quant will design, train, and optimize ML models for trading strategies, ensuring efficient production and integration with trading operations. The role emphasizes teamwork and rapid prototyping under real trading constraints.

As an AI/ML Engineer, you will develop and optimize machine learning models, collaborate with teams, and enhance mobile app features using AI techniques.

As a Principal ML Architect, lead technical strategy and client engagements, mentor ML engineers, and oversee project lifecycle in delivering complex AI systems.

Lead a team of ML Engineers to develop technology for healthcare, emphasizing hiring talent, technical leadership, and collaboration with stakeholders.

The Machine Learning Engineer will develop and maintain ML deployment pipelines, operationalize AI models, and ensure system reliability and scalability.

The AI/ML Engineer will architect, maintain data pipelines, develop AI applications, and optimize distributed systems for fraud detection and prevention.

Lead the development of machine learning models for autonomous vehicles, improve data systems, and collaborate across teams to enhance technology and performance.

Lead a team of data scientists developing ML-driven products, managing infrastructure, training models, and ensuring production quality while collaborating with senior leadership.

Develop and maintain machine learning models for robotics applications, collaborate across teams, and contribute to innovative solutions in AI and mobility.

Lead Data Scientist will develop and deploy machine learning models, monitor performance, guide team members, and analyze data for insights. Requires extensive experience in machine learning and deep learning frameworks.

Lead the Safety ML team as a technical lead, driving ML systems development for safety, collaborating with cross-functional teams, and tackling complex safety challenges.

The role involves creating models for machine learning accelerators, analyzing workloads, and collaborating with engineering teams to optimize performance and functionality.

Analyze workloads for hardware mapping, design machine learning solutions, and collaborate with cross-functional teams on high-performance architecture.

As a Senior Vice President at AlixPartners, you will lead complex projects focusing on performance improvement, data analysis, and machine learning applications to enhance business outcomes.

As a Machine Learning Engineer at Shipwell, you'll build and scale AI-powered logistics solutions, maintaining data pipelines and ML infrastructure across the organization.

Lead collaboration to improve ML workloads on cloud and self-driving cars, optimize models, and mentor junior engineers.

Design, develop, and optimize reinforcement learning algorithms for humanoid robots, collaborating across teams to ensure integration of hardware and software.

Lead the development of ML algorithms for robotic manipulation, focusing on multimodal perception and real-world deployment, integrating with other robotics functionalities.

The Lead Machine Learning Scientist designs and develops ML solutions, leads project teams, mentors members, and collaborates with clients to solve complex problems.