Top AI & Machine Learning Jobs

Design and launch intelligent security products using AI tools; own product lifecycle from conception to deployment, collaborating cross-functionally. Rapid prototyping and leveraging data to identify opportunities and validate directions are core responsibilities.

Lead product strategy and execution for Zip's AI Agent platform area. Partner with engineering, design, and AI research to build agent/chat capabilities, own quality (evals, guardrails, feedback), work with customers, and enable other teams to build on the platform.

As a Senior Research Engineer, you will develop data systems, conduct statistical analyses, and lead clinical research to improve maternal health outcomes through data-driven solutions.

The AI Solutions Director will oversee and enhance customer engagements, ensuring efficient delivery and driving value realization from AI solutions while managing a team and client relationships.

Own the full product lifecycle for Level 4 autonomous trucking solutions: define requirements, prioritize features, drive cross-functional execution, monitor KPIs, gather user feedback, communicate progress and risks, and support commercial deployments.

The role involves designing and developing data applications, working with large data sets, and requires expertise with various data processing technologies. Candidates should have strong analytical skills and experience in prototyping software applications.

As a Senior Data Scientist, you will lead data science initiatives, develop machine learning models, and collaborate with stakeholders to improve Perpay's products and financial health of customers.

This role focuses on advanced analytics by leveraging Dataiku and Azure ML, guiding data scientists, and driving machine learning use cases.

Join Genmo as a Research Engineer to develop novel machine learning techniques in generative AI, collaborating on model performance and deployment.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.