Top Machine Learning Engineer Jobs

As a Founding Member of Technical Staff, develop and deploy AI systems, lead ML design and workflows, and ensure business impact through scalable AI solutions.

Develop and deploy machine learning models for national security challenges. Responsibilities include algorithm development, model training, deployment, and collaboration with teams for effective ML solutions.

Design and implement AI agents for mission planning and orchestration across autonomous systems, focusing on LLM frameworks and edge computing.

Design and implement 3D machine learning models, process reality capture data, and integrate AI solutions in production environments for robotics applications.

As an AI/ML Engineer, you'll develop data/ML pipelines, analyze unstructured data, and contribute broadly to product development.

As a Senior Software Engineer at Mercor, you will design, build, and scale production-grade backend systems, mentor junior engineers, and collaborate closely with product teams to enhance AI workflows.

The role involves applying AI and ML to improve healthcare billing processes. Responsibilities include scaling products, innovating AI strategies, and building AI infrastructure to optimize operations.

The Founding ML Engineer will develop and deploy ML systems, collaborate with teams, and translate ambiguous problems into production ML solutions, shifting between client delivery and platform development.

As a Lead AI/ML Engineer, you'll develop LLM-powered investment research tools, optimize ML models, and engage with clients to enhance product offerings.

The Machine Learning Engineer will develop ML systems and platform engineering for video-language models, managing deployment, mentoring juniors, and optimizing model performance.

As a ML Engineer at Apiphany, you will develop advanced machine learning models, focusing on engineering data, AI systems, and real-world performance.

As a Machine Learning Engineer, you will develop ML strategies, design models for game systems, and enhance gameplay using AI techniques, collaborating with various teams.

Develop and productionize ML models for assessing autonomous vehicle behavior, build ML infrastructure, and collaborate across teams for deployment.

Develop simulation technologies for autonomous driving, applying machine learning expertise to enhance realism and performance of the Waymo Driver through advanced algorithms and production-ready solutions.

Develop ultra-realistic simulations for autonomous vehicles using machine learning, focusing on realism and integration into production systems.

Lead the development and deployment of generative models for simulation use at Waymo, including designing ML pipelines and mentoring engineers.

Lead the design and delivery of large-scale solutions in Generative AI and Big Data, while mentoring teams and driving innovation.

The role involves developing machine learning algorithms, optimizing LLM deployments, and managing deployment pipelines while mentoring team members.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

As a Lead AI/ML Engineer, you'll develop and maintain ML/AI optimization solutions, mentor engineers, and collaborate on innovations. You'll manage projects from prototyping to production, ensuring high-quality technical execution in a cross-functional environment.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

The role involves implementing machine learning features at Nooks, with responsibilities including training production models and aligning technical strategies with performance and cost.

Design and develop retrieval systems for AI workflows at Zoom, involving machine learning, information retrieval, and multi-tenant architecture. Collaborate with teams to enhance AI capabilities across enterprise data sources.

The Applied ML Engineer will productionize and scale machine learning systems for a voice AI platform, optimizing deployment and performance in healthcare environments.

As a Senior AI Engineer, you will design AI solutions, collaborate with clients, write production code, and support business development.