Top Machine Learning Jobs

As a Staff Machine Learning Engineer, you will design and develop ML systems to combat fraud by building data pipelines, integrating data sources, and ensuring high-quality model performance while collaborating with teams.

Software Engineers will design, implement and deploy ML solutions while collaborating across teams to enhance military capabilities and operational outcomes. Responsibilities include coding, debugging, and addressing user needs while traveling up to 30% for hands-on deployments.

The Senior Machine Learning Engineer will design and build scalable AI/ML infrastructure, collaborate on model development, and optimize performance in distributed training environments.

Lead development and deployment of advanced ML models for heart disease diagnostics, providing technical leadership and guiding projects through regulatory approval and clinical integration.

Machine Learning Engineers at Tennr will architect, train, deploy models, optimize data pipelines, integrate ML into backend systems, and collaborate with teams for product evaluation.

As a Software Engineer intern, you'll work on AI-driven projects spanning data management, onboard systems, ML infrastructure, simulations, and technical infrastructure, collaborating with experts in various fields.

Lead a 130-person ML organization focused on Ads performance, developing technical strategies and improving modeling systems and marketplace health.

The Applied Scientist will design and implement machine learning models, collaborate across teams, improve model performance, and contribute to internal research initiatives.

The AI/ML Software Engineer will embed models into workflows, collaborating with teams to enhance AI applications and tools, focusing on automation and best practices.

The Principal Applied Scientist will lead applied science projects to enhance pricing strategies, develop Machine Learning models, and mentor teams, ensuring alignment with business goals.

Develop and implement advanced reinforcement learning methods and distributed systems for AI agents. Collaborate with customers to understand needs and create tailored solutions.

Lead the development of machine learning models for advertising products, optimizing strategies and driving business-critical outcomes.

Lead the technical vision for ML systems focused on personalization, architecting solutions, solving complex challenges, and mentoring senior engineers.

As a Machine Learning Engineer on the Mapping team, you'll build backend systems for map data, apply ML to generate maps, and enhance internal tools.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

The Staff Machine Learning Engineer will lead ML model development, deployment, and optimization, mentoring team members while collaborating with cross-functional teams to enhance business strategies.

As a Senior Machine Learning Engineer, lead the full ML lifecycle, develop and deploy scalable ML models, mentor a team, and collaborate cross-functionally to enhance customer insights and drive business growth.

As a Senior Machine Learning Engineer, you'll develop state-of-the-art machine learning solutions for Realtor.com's products, mentor a team, and collaborate cross-functionally to drive AI-driven solutions.

The role involves designing and implementing machine learning applications, managing teams, ensuring performance, and optimizing ML systems using cloud technologies and best practices.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

Research and apply advanced machine learning techniques to solve autonomy system problems, providing leadership and deploying solutions in real-world environments.

Develop machine learning models for search ranking and personalization at Faire, leveraging data to help local retailers thrive.

The Senior AI Scientist will develop innovative machine learning techniques for MRI, coordinating with teams and enhancing product capabilities through advanced model development and software maintenance.

Develop and optimize machine learning models for robots to navigate human environments. Lead design in ML systems and mentor junior engineers.

As a Product Yield Analysis and Analytics Intern, you will design methods to detect fails in semiconductor manufacturing, develop defect detection tools, and apply machine learning and vision techniques for yield improvements.