Top Machine Learning Engineer Jobs

Seeking a Senior Machine Learning Engineer to develop and optimize deep learning models for computer vision, collaborating on production-ready solutions and mentoring junior engineers.

Lead the design, development, and deployment of scalable machine learning and AI systems for enterprise clients, guiding architecture and mentoring engineers.

Build and maintain large-scale user understanding models to improve ad ranking, conversion prediction, and recommendations. Monitor model quality, address data drift, collaborate on long-term direction, and communicate technical work to non-engineers.

Design, train, and implement domain-specific LLMs for automation in restoration companies. Collaborate with teams, coordinate AI engineering, and ensure model reliability.

As a Senior Machine Learning Engineer, you will design ML infrastructure, build AI features, and collaborate with cross-functional teams while managing large data sets.

Lead the Inference ML team in developing tools and APIs for large-scale ML applications, enhancing performance and usability, while collaborating across engineering teams.

As a Senior Machine Learning Engineer at Axon, you'll develop AI solutions for public safety, collaborating on training and deploying machine learning models, while ensuring ethical AI development.

Design and build backend systems for credit insights products, collaborating with various teams, and mentoring junior engineers.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Join the Waymo ML Infrastructure team to build and enhance ML-powered tools and web applications while collaborating with Google to improve developer efficiency.

The Software Engineer will design and optimize distributed systems for ads, focusing on performance, cost reduction, and collaboration with Ads, Data, and Infrastructure teams to enhance efficiency.

Join a team to engineer high-efficiency deep learning architectures for molecular machine learning, focusing on optimization and scaling across GPUs for drug discovery.

The ML Research Engineer will develop training pipelines for atomistic simulation models and collaborate with researchers to optimize training workflows.

Develop, evaluate, and deploy AI systems and machine learning models, focusing on NLP and multimodal models. Collaborate with teams and publish research.

This role involves deploying and optimizing machine learning models for autonomous vehicle motion planning, ensuring performance and reliability in production settings.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

As a Senior Machine Learning Engineer, you'll develop and optimize ML systems, implement pipelines, and collaborate with cross-functional teams to enhance Yahoo's data capabilities.

Build and maintain ML infrastructure for robot manipulation, including data pipelines, training systems, and real-time inference, collaborating with researchers.

The role focuses on educating ML practitioners on leveraging Hugging Face Cloud solutions by driving visibility through technical content, public speaking, and partnerships with strategic cloud providers.

The Principal ML Engineer will lead the development of AI evaluation platforms, architect frameworks for evaluating LLMs, and collaborate across teams to ensure safe and ethical AI practices.

Develop and improve C++ systems interacting with hardware sensors, build scalable data pipelines, and design deep learning algorithms for chemical data insights.

The Senior Machine Learning Engineer will develop and deploy ML models for the electric grid, mentor junior engineers, and collaborate across teams to tackle complex energy challenges.

As a Machine Learning Engineer, you'll design AI/ML solutions, optimize pipelines, integrate models, and enhance AI capabilities while collaborating with teams.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.