Top Machine Learning Engineer Jobs

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

Design and build AI-driven developer tools, integrate third-party AI models, mentor engineers, and improve AI coding agents to enhance software development processes.

The Lead Software Engineer will design and develop ML pipelines and services, enhance operational stability, and lead best practices in MLOps within an agile team.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

As a Machine Learning Engineer, you will analyze complex datasets, develop models, manage ML Ops, and enhance customer products using machine learning techniques.

The Applied AI/ML Engineer will design, develop, and deploy AI and machine learning solutions while collaborating with cross-functional teams to optimize processes and enhance operational efficiency.

Lead the development and deployment of machine learning models for sponsored ads at Chewy. Collaborate with product leaders, mentor junior scientists, and publish research to enhance advertising solutions.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

The role involves designing and optimizing large-scale multimodal AI models, conducting applied research, and collaborating with cross-functional teams to deliver impactful member value at WHOOP.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The Staff Machine Learning Engineer will design and launch AI-driven tools, collaborate with diverse teams, and innovate in AI solutions to enhance customer value and drive product strategy at Block.

As a Machine Learning Engineer, you'll design, build, and deploy ML applications, collaborate with teams, and optimize models and data pipelines. You'll focus on both model development and ensuring high performance in production environments.

The Machine Learning Engineer will build and deploy ML models, applying modern techniques to solve problems and collaborate with teams on ML-driven features.

The Staff Machine Learning Engineer will lead technical direction for ML technologies, design impactful ML solutions, mentor engineers, and drive cross-team initiatives.

As a Principal Machine Learning Engineer at Zscaler, you will lead AI/ML projects, optimize systems, and collaborate on cybersecurity solutions while mentoring engineers.

The Principal Machine Learning Engineer will lead GenAI modeling efforts, prototype rapid solutions, mentor teams, and shape innovation strategies in AI.

The Principal Machine Learning Engineer at Atlassian is responsible for developing advanced ML solutions that enhance team collaboration and product effectiveness.

As a Machine Learning Engineer II, you will design, implement, and maintain machine learning models, optimize workflows, and collaborate with cross-functional teams to deploy ML systems.

Design and maintain AI/ML software solutions for network automation. Collaborate on requirements, optimize performance, and lead teams in software engineering best practices.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.