Top Machine Learning Jobs

Lead the development of AI-driven search and recommendation systems, mentoring a team, optimizing ML models, and collaborating across teams to transform construction procurement.

As a Senior Machine Learning Engineer, you'll develop advanced AI systems, focusing on search ranking, recommendation engines, and document extraction. You'll oversee model design, implementation, and deployment while collaborating with teams to innovate construction technology solutions.

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

The Senior Staff Software Engineer in ML Inference will design and implement production-quality software for ML models, optimize performance, mentor engineers, and influence technical direction in AI-driven advertising.

As a Senior ML Engineer, you will design, build, and deploy ML models, work with MLOps tools, and collaborate within a cross-functional team to enhance shop management software capabilities.

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.

As a Senior Machine Learning Engineer, you will drive AI vision, develop models, and collaborate cross-functionally to enhance user experiences.

The Staff Machine Learning Engineer will lead ML strategy, architect AI infrastructure, mentor engineers, and develop impactful AI systems.

As a Machine Learning Research Engineer, you will research and train models, build agents using proprietary algorithms, and apply techniques to real enterprise datasets.

Design, deploy, and scale ML systems for production at Foxglove, focusing on data infrastructure for robotics, optimizing inference, and building evaluation workflows.

This role involves designing, training, and evaluating ML models, collaborating on AI initiatives, and optimizing model performance for practical applications.

As a Senior Machine Learning Engineer (Tech Lead), you'll lead the ML technical direction, design architectures for loco-manipulation, mentor team members, and manage cross-functional partnerships while writing production-quality code.

The Machine Learning Engineer will build a robot-learning stack, design training infrastructure, deploy ML policies, and collaborate with engineers in heavy manufacturing.

The role involves architecting AI systems, developing algorithms for optimization and building hybrid search systems. You will lead MLOps processes and collaborate across functions to deliver AI-first products.

The Senior Engineer will develop scalable machine learning models, partner with data scientists, and improve business performance through AI technologies.

Lead cutting-edge machine learning research, develop algorithms, and deploy production-ready models in a healthcare-focused AI environment. Collaborate with engineers and clinicians to optimize healthcare systems.

The Principal ML Engineer will design and scale ML infrastructure for scientific discovery, collaborating with AI scientists to enhance model training and deployment processes.

The Machine Learning Software Engineer will develop machine learning models for the Merlin app, design applications, and manage IT projects while collaborating on conservation initiatives.

The Principal Engineer, ML leads the technical direction for VLA models in Automated Driving and oversees architectural decisions, model development, and evaluation strategies, partnering with data and platform teams to enhance system performance.

The Staff Engineer, Machine Learning leads the development of end-to-end driving models for autonomous driving, focusing on reinforcement learning and multi-modal sensor data integration. They collaborate with various engineering teams to ensure robust model deployment and validation in real-world scenarios.

As an Applied Machine Learning Engineer, develop, deploy, and optimize machine learning models while collaborating with cross-functional teams to enhance customer solutions.

As a Senior/Principal Machine Learning Engineer, you'll design and build core ML systems for Workday's AI agents, collaborating with cross-functional teams on models and deployment for real-world applications.

The Associate Machine Learning Engineer will develop and enhance machine learning models and features to optimize user experience, collaborating with senior engineers and data scientists.

Seeking a Principal Software Engineer for architecting ML systems, unifying codebases, and leading cross-team architecture for Waymo's foundation models.

As a Principal Machine Learning Engineer, you will develop distributed inference infrastructure, integrate with vLLM, and optimize inference workloads, mentoring fellow engineers along the way.