Top Machine Learning Jobs

As a Senior AI Engineer, you'll develop and implement AI solutions for the federal government, collaborating with teams to address customer problems using machine learning techniques.

As a Lead Research Scientist in Machine Learning, you will develop AI/ML algorithms, lead teams, work on innovative problems, and communicate technical insights.

The Staff Machine Learning Engineer will build ML systems to enhance fraud prevention and risk decisions driving platform improvements and mentoring fellow scientists.

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

Design, develop, and implement machine learning models and algorithms. Collaborate with cross-functional teams to deploy scalable ML solutions and analyze large datasets for insights.

The Senior Engineer in Machine Learning will develop algorithms using machine learning techniques on biomedical datasets, prototype solutions, and collaborate with teams to ensure data quality and performance measures.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

The Staff Machine Learning Engineer will design ML systems, mentor engineers, work on AI product development, and improve legal data processing.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

The Machine Learning Engineer will develop and improve ML models for product surfaces, build data processing pipelines, and leverage machine learning technologies in advertisements.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.

As a PhD Resident, you will conduct research on machine learning applications to enhance energy data pipelines and collaborate with experts to develop advanced models.

Lead a team of applied data scientists and ML engineers to develop scalable forecasting systems. Collaborate cross-functionally to integrate forecasting insights into decision-making processes and business strategies.

Lead development of machine learning models for drug discovery, integrating ML with molecular modeling to enhance molecular design and optimization approaches.

Join the Virtuoso team to enhance place and route infrastructure using advanced math, machine learning, and AI techniques. Collaborate in a fast-paced R&D environment.

As a Senior Machine Learning Engineer on the Perception Team, you will define technology direction, architect solutions for autonomous vehicles, collaborate with team members, and mentor junior engineers, contributing to high-stakes projects in autonomous driving.

As a Machine Learning Engineer, you'll design and ship LLM-based solutions, collaborate across teams, and improve storytelling capabilities at scale.

The role involves developing ML techniques for code security, training models, building evaluation pipelines, and collaborating on research innovations.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

The Head of Venmo AI Personalization will define and drive the strategic vision for machine learning at Venmo, overseeing model development and optimizing user personalization and ranking systems while mentoring a world-class team.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision, testing algorithms, and transitioning them to production. Responsibilities include tracking advancements in ML, conducting experiments, and writing maintainable code.

The Staff ML Engineer will design and implement backend components for the ML Inference Platform, ensuring efficient model serving and collaborating with ML teams to enhance AI infrastructure at GM.