Top Machine Learning Jobs

The Senior Machine Learning Engineer will develop and optimize voice-centric AI systems, manage ML lifecycle, and ensure high-quality conversational experiences in production environments.

As a Manager of Machine Learning Engineering, you will lead a team focused on personalizing offers for customers while optimizing loan opportunities. You'll set technical strategies, manage collaborations, and ensure operational integrity.

The intern will develop and implement machine learning models to identify transient patterns in equipment data, improving energy monitoring outcomes. Responsibilities include collaboration, documentation, and regular presentations of findings.

The role involves designing and maintaining machine learning models, analyzing data, and optimizing algorithms to solve business problems.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

The Staff Machine Learning Systems Researcher will model performance of Lightmatter systems, collaborate on designs, publish research, and stay updated on ML advancements.

Conduct applied research in robotics and develop ML pipelines for training models on data collected by Scale, collaborating with customers and cross-functional teams.

Interns will design and implement ML models, develop RAG pipelines, integrate AI solutions with Azure, and research solutions.

Develop machine learning models to differentiate normal and attack behaviors, collaborate with security researchers, and analyze algorithm performance.

Develop and implement predictive models using statistical methods and machine learning. Conduct data analysis and collaborate with teams to inform business decisions.

Lead the design, development, and implementation of machine learning applications. Collaborate with teams to solve business problems using ML technologies and ensure high availability of ML systems.

Lead the design, development, and deployment of scalable machine learning solutions to influence business decisions and capabilities, applying advanced ML methods and collaborating with cross-functional teams.

Lead a team of machine learning scientists and engineers to develop scalable ML solutions that enhance business operations and decision-making.

As a Staff Machine Learning Engineer, you will design and develop machine learning systems to prevent fraud, ensuring data quality and integrating diverse data sources while collaborating with cross-functional teams.

Lead the development of AI/ML systems in robotics and manufacturing, designing ML architectures, and collaborating with cross-functional teams.

Lead ML model development from conceptualization to deployment, mentor engineers, and influence architectural decisions to enhance Chewy's marketing and product offerings.

As a Machine Learning Engineer at Ello, you'll develop an AI tutor by owning end-to-end projects, collaborating with experts, and utilizing cutting-edge machine learning techniques to enhance children's education.

The intern will research advancements in ML systems, model performance for Lightmatter systems, and collaborate on design for reference platforms, aiming for academic publication.

As a Machine Learning Engineer, you will design ML systems, guide teams, develop IP, and elevate team performance. You'll define projects, collaborate with stakeholders, and oversee ML model development from ideation to deployment.

As an AI/ML Engineer Intern, you will apply AI to enhance restaurant discovery experiences by analyzing data, building models, and collaborating with teams.

Develop and deploy ML models to combat financial crimes. Collaborate with cross-functional teams, maintain documentation, and lead ML best practices.

The role involves leveraging advanced machine learning technologies to create models, collaborating with teams, and translating complex methodologies into business goals.

As a Senior Machine Learning Engineer, you will develop and deploy advanced ML models, collaborate with teams, and enhance AI integration for product features.

Design and implement ML models and systems for the Highlight AI desktop assistant, collaborating with cross-functional teams to integrate AI features into the product.

Lead the design and deployment of ML systems while mentoring junior engineers. Collaborate with teams to ensure technical solutions align with business goals, conducting experiments to improve outcomes.