Top Machine Learning Jobs

Engineer II will design, develop, and deploy scalable AI/ML systems, ensuring integration with Generative AI and cloud infrastructure for analytics and decision support.

Assist in developing and deploying AI and ML features, collaborate with engineering teams, and align AI initiatives with the product vision.

The Machine Learning Research Engineer will collaborate with teams to deliver research, assess ideas, and implement solutions using advanced computational methods.

As a Senior Lead Machine Learning Engineer, you'll design and build scalable ML applications, optimize ML models, and collaborate within an Agile team.

Develop machine learning solutions for advanced sensor technology, optimize algorithms, and collaborate with hardware engineers to create robust models for military applications.

The Machine Learning Engineer will create and evaluate models, conduct code reviews, and ensure code quality while building scalable products.

Analyze, design, and build ML models and data pipelines for Xumo’s streaming services, improving user experience with actionable insights.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

Lead the development of machine learning solutions to personalize user experiences and enhance customer retention for the Sportsbook product, mentoring junior engineers and collaborating cross-functionally to deliver impactful ML projects.

Develop and implement machine learning models to support credit risk decisions, collaborating with cross-functional teams and ensuring model governance.

The Senior Machine Learning Engineer will develop advanced ML algorithms, train models, and collaborate with diverse teams to enhance AI functionality across Atlassian products.

As a Senior Machine Learning Engineer, you will lead the ML lifecycle, design feature pipelines, optimize models, and mentor other engineers.

Lead the development of machine learning models and applications, collaborating with Agile teams, optimizing systems, and ensuring high performance while mentoring junior engineers.

As a Senior Machine Learning Engineer, you'll design, build and deploy ML applications, collaborate with cross-functional teams, monitor production models, and utilize advanced ML techniques and cloud technologies.

This role involves building and optimizing ML systems and frameworks, collaborating with teams to enhance research and development in ML models.

Develop and optimize machine learning models, preprocess datasets, collaborate on model deployment, conduct tests, and stay updated on advancements.

Join Phonic as a Machine Learning Research Engineer to develop scalable infrastructure for training and deploying audio models, focusing on performance and reliability.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

The intern will develop AI-powered audio processing algorithms, prototype ML algorithms, integrate solutions into existing platforms, and present findings to a professional team.

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

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 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.

The Senior Machine Learning Engineer will build ML models, enhance 3D dental platforms, research SOTA methods, and implement MLOps practices.