Top Machine Learning Engineer Jobs

The AI/ML Engineer will identify and scale generative AI technologies, lead pilot projects, collaborate on implementations, and refine AI outputs.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

The AI Machine Learning Engineer will design, develop, and deploy AI/ML solutions, ensuring compliance with federal standards and improving operational efficiency.

Lead the technical roadmap for AI modeling at HP IQ, defining best practices, collaborating across teams, and mentoring engineers.

Drive the strategic vision for machine learning initiatives, lead development of models, oversee data analysis, and mentor teams.

As a Staff Machine Learning Engineer, you will develop and deploy machine learning models for the electric grid, lead projects in planning and reinforcement learning, mentor junior engineers, and collaborate across teams.

The Machine Learning Engineer will design and deploy multi-modal models while collaborating with cross-functional teams to translate research into production-ready solutions, focusing on climate change mitigation.

Design and implement AI-driven features for claims synthesis, leveraging LLMs and statistical techniques, while ensuring system performance and accuracy.

Develop and deploy machine learning algorithms for planning in autonomous trucks, ensuring safety and real-time efficiency.

As a Founding ML Engineer, you will build advanced document processing systems, train models, design LLM techniques, and monitor model performance while collaborating directly with leadership.

As an ML Engineer, you will develop and deploy machine learning models, collaborate on research, and mentor team members in materials science applications.

The Senior ML Engineer will automate component placement on PCBs, working on R&D and production using ML and optimization techniques.

Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.

Design and implement deep learning algorithms for autonomous driving, optimizing neural networks for real-time performance, and integrating multimodal data.

The Machine Learning Engineer will design, develop, and maintain production machine learning models and algorithms, ensuring their efficiency and reliability in deployment.

Lead the design and development of large-scale ML systems for catalog quality improvement, optimizing predictive models, and mentoring engineers in an e-commerce setting.

You will implement Neural Rendering and generative models for autonomous driving, manage projects, and mentor team members in a cloud-based setting.

The Staff AI/ML Engineer will develop and prototype AI/ML algorithms, analyze datasets, and mentor team members in an interdisciplinary environment.

The Staff AI/ML Engineer will lead a team to develop Agentic AI capabilities using LLMs for mission management applications, implementing machine learning algorithms and delivering advanced AI solutions.

Join Waymo's Simulator Team to develop ultra-realistic sensor data and perception simulation for autonomous vehicles using advanced ML technologies. Collaborate with foundational AI research teams and drive innovation in simulation realism.

Develop and deploy machine learning models for drug discovery, collaborate with chemists and biologists, and enhance model performance with active learning frameworks.

Lead and drive strategy for generative AI projects, develop cutting-edge models, engineer data pipelines, and collaborate across teams to implement AI solutions.

Lead the Generative AI team at Xometry, setting vision and strategy, developing multimodal models, and collaborating with various stakeholders to deliver AI solutions.

Lead the Generative AI team by setting technical direction, developing large-scale models, and mentoring team members while collaborating across departments.

Lead the Generative AI team by setting technical direction, developing models, creating data pipelines, and driving AI strategy across Xometry's marketplace.