Top Machine Learning Jobs

Design and deploy machine learning algorithms, develop production systems, and collaborate with stakeholders to align ML solutions with business objectives.

The Software Engineer will collaborate with researchers to develop and deploy ML models for pricing, handling model operations and challenges.

The AI/ML Engineer will design and deliver scalable ML solutions, improve existing tools, write maintainable code, and collaborate with teams.

The Senior Software Engineer - Machine Learning at Celonis focuses on designing and developing AI/ML product features and customer solutions, ensuring high quality and scalability while collaborating with various teams.

Responsible for designing and developing AI/ML product features and infrastructure to empower intelligent business decisions and operational excellence for customers.

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.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

As a Senior Machine Learning Engineer, you will design, build, and deploy large-scale ML systems to enhance Dropbox's AI features, collaborating with teams and mentoring peers.

As a Machine Learning Intern, you will work on advanced AI solutions, collaborate with teams to design ML systems, and analyze data to enhance user experiences at Dropbox.

The role involves enhancing developer tools for GM's AV engineers, addressing pain points, and mentoring team members to improve productivity and maintain quality code efficiency.

Lead a local AI/ML team, drive AI innovations, mentor team members, and manage projects within the ML development lifecycle using Agile methodology.

The role involves leading AI/ML initiatives, developing machine learning models, collaborating across teams, and operationalizing models in production.

As a Lead Machine Learning Engineer, you'll design and scale ML infrastructure, collaborate across teams, and mentor engineers in AI and ML innovations.

As a Senior Machine Learning Data Engineer, you will analyze data, develop predictive models, manage data infrastructure, and collaborate across teams to enhance autonomous vehicle systems.

Develop ML force fields for life and materials sciences, managing data sets, improving software accuracy, and communicating results with the team.

Lead R&D to design and deploy ML models for conversational agents, enhance automation in customer support, and build scalable AI systems across business units.

As a Machine Learning Intern, you'll work on building and evaluating ML models using large datasets, explore advanced ML methods, and collaborate on real-world applications in digital dentistry.

Lead the design, development, and implementation of machine learning applications, focusing on architecture, model training, and deployment using emerging technologies.

As a Senior Machine Learning Engineer, you'll design, build, and maintain machine learning models and applications, ensuring high availability and performance while collaborating with Agile teams.

Lead the design and implementation of advanced ML models for autonomous driving, collaborating with teams, mentoring engineers, and driving technical initiatives.

Design, implement, and improve components in a machine learning product, apply Python expertise, collaborate with teams, and support customer implementation for success.

As a Staff Machine Learning Engineer, you'll lead the development of advanced AI/ML models for risk detection, mentor team members, and collaborate across teams to enhance security against fraud and scams.

The Machine Learning Engineer will develop ML models to mitigate risks, enhance core models, and maintain real-time prediction systems, focusing on modeling and collaboration.

The Senior Machine Learning Engineer will lead risk domain ownership and build ML systems to combat fraud and enhance user security at Coinbase.

The role involves developing AI and Machine Learning solutions to enhance enterprise services, collaborating with cross-functional teams, and ensuring high-quality deliverables.