Top Machine Learning Engineer Jobs

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

Design and implement learning-based algorithms for robotic manipulation and navigation. Build reliable software, collaborate with teams, and conduct experiments.

As a Principal Machine Learning Engineer, you will develop optimization algorithms, manage deployment pipelines, and mentor engineers in deep learning techniques.

The Machine Learning Engineer will train, fine-tune, and deploy ML models for parsing unstructured data, and build data pipelines for product integration.

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

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.

Develop machine learning algorithms for scene understanding in autonomous vehicles. Collaborate on data strategy and enhance models for safe navigation in complex urban environments.

The Data Scientist/ML Engineer will research, design, implement, and deploy Machine Learning algorithms to enhance federal customers' digital transformation efforts.

The role involves developing ML systems for enterprise workflows, focusing on user understanding, task prediction, and optimizing ML pipelines. Key responsibilities include designing scalable evaluation frameworks and collaborating with teams to deliver production-ready solutions.

The Lead AI/ML Engineer evaluates emerging technologies, leads teams in adopting solutions, and provides technical leadership while mentoring junior specialists.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

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

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

The Machine Learning Engineer will develop machine learning models, build data pipelines, and collaborate with teams to identify customer needs. Responsibilities include training and validating deep learning models and presenting performance results.

Lead the design and deployment of E2E ML architectures for autonomous driving, focusing on datasets and system intelligence improvements. Mentor teams and establish evaluation frameworks.

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

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.

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

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.

As a Staff Machine Learning Engineer, you'll design large-scale recommendation and retrieval systems, enhance quizlet's personalization through ML, collaborate with teams, and ensure models align with user outcomes.

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

As a Staff Machine Learning Engineer, you will design and evaluate ML models, optimize performance, and work with stakeholders to deliver AI solutions.