Top Senior Machine Learning Jobs

Oversees ML and DL project execution, mentors teams, communicates insights to influence strategy, and manages diverse data analyses across business functions.

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 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.

Lead a team to advance performance marketing through machine learning and data-driven strategies, optimizing budget allocation and measuring impact.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

The Sr. Manager of Machine Learning Engineering will lead anti-cheat engineering efforts, focusing on developing and managing ML systems to detect cheating in games. Responsibilities include guiding data teams, optimizing technical strategies, and ensuring the quality of ML pipelines.

You will design and implement high-performance backend services and machine learning pipelines for real-time AI interactions in a fast-paced environment.

As a Senior Machine Learning Engineer, you'll build and deploy AI/ML models, design workflows, and drive product development in a startup focused on the collectibles industry.

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

Lead research and development of end-to-end ML models for autonomous driving, experiment with large-scale datasets and architectures, collaborate with infra and autonomy teams, optimize models for deployment, and deploy solutions to on-road vehicles.

Design, build, and maintain predictive models and analytics for quality management, risk adjustment, and operational efficiency; analyze multi-source healthcare data, deploy ML solutions, experiment with emerging AI, and collaborate across teams to monitor outcomes and drive data-driven decision making.

The Machine Learning Manager will lead a team of engineers, drive project delivery, provide technical guidance, and foster a culture of innovation and experimentation in AI.

Lead a team to develop and deploy autonomous pricing algorithms for vehicle valuation, optimize pricing strategy to drive $10-25M/year in value, collaborate cross-functionally to implement models in production, and build management systems to monitor and adjust pricing in real time.

Lead development of optimal logistics planning strategies and AI-driven models to autonomously plan vehicle moves. Build and manage a 4-7 person data science team, implement production-ready optimization and ML systems, collaborate cross-functionally to deploy solutions, and measure impact to deliver $10-25M/yr in incremental value.

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

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

Lead ML engineering efforts for behavior planning in autonomous vehicles, develop complex models, mentor teams, and advance state-of-the-art technology.

The Staff Applied Scientist leads the development of machine learning solutions, collaborates with stakeholders, mentors team members, and contributes to intellectual property.

The Sr. Machine Learning Engineer will use ML and DL models to solve complex problems, mentor junior engineers, and assess algorithm performance while collaborating with a team.

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

The Engineering Manager will lead a team of machine learning engineers, drive development best practices, and ensure customer-centric outcomes through effective collaboration and communication.

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.

Develop and maintain predictive models for quality, risk adjustment, and operational efficiency; analyze multi-source healthcare data; implement ML solutions, monitor model performance, and experiment with emerging AI to improve outcomes and workflows.

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

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.