Top Machine Learning Jobs

Develop and implement AI solutions for Marine Corps needs by applying ML algorithms, mentoring team members, and solving complex problems.

The Senior Machine Learning Engineer will lead applied research projects, design and implement ML models, maintain data pipelines, and mentor junior members for defense-focused missions.

As a Machine Learning Research Scientist, you will conduct applied research, develop prototypes, and evaluate ML systems while translating government needs into actionable technical approaches.

Develop and optimize AI models and training systems for robotics applications, focusing on design, implementation, and performance optimization of ML models.

As an AI and ML Engineer, you will develop AI/ML solutions for object identification, collaborate with teams, and maintain models for data processing.

Responsible for designing and implementing predictive models for monetization and learner engagement, integrating machine learning systems into existing products, and collaborating with cross-functional teams to deliver measurable business outcomes.

Design, develop, and implement machine learning models and algorithms. Collaborate with teams, optimize models, and ensure data quality for production deployment.

Design, develop, and implement machine learning models and algorithms, focusing on AI systems and traditional ML models for various applications. Collaborate with teams to deploy solutions and analyze performance.

As a Senior Staff Machine Learning Engineer, you'll develop AI-driven solutions to optimize customer experiences through advanced ML frameworks, focusing on recommendations and personalization.

The intern will prototype control/estimation algorithms, collaborate on algorithm development for vehicle control, and demonstrate impact in simulation or on prototypes.

As an AI/ML Systems Engineer, you will build on-device inference engines, integrate AI technologies, optimize performance, and collaborate with model authors to enhance LM Studio.

As a Senior Machine Learning Engineer, you'll design and implement ML models, develop data pipelines, and collaborate on AI features at Mural.

As an Applied AI/ML Engineer, you'll develop and deploy machine learning models, build data pipelines, and collaborate with scientists to improve materials processing and characterization.

The Machine Learning Scientist will develop ML models for smart gameplay features, collaborate across teams, and optimize data pipelines for gameplay adaptation.

Develop machine learning models to predict molecular properties, create novel algorithms for new molecules, and collaborate with chemists and engineers to optimize performance and integrate models into software.

As a Senior Machine Learning Engineer, you'll design and implement ML models for personalization, collaborate across teams, and enhance recommendation systems.

The Staff Software Engineer will architect and implement backend systems for LLM applications in healthcare, focusing on APIs, data pipelines, and compliance.

Develop and optimize machine learning models for financial and operational workflows at Netflix, ensuring model reliability and integration with studio applications.

Build and deploy ML systems that detect fraud and automate security decisions, while collaborating with cross-functional teams.

Lead and mentor the Machine Learning Science team, driving innovation in algorithms for personalization and search while shaping the scientific community.

The Staff ML/AI Platform Engineer will design, prototype and deploy AI/ML models, optimize pipelines, mentor junior engineers, and collaborate closely with other teams to develop machine learning solutions.

Lead a team managing AI-powered search applications by enhancing machine learning models, project management, and fostering a collaborative culture.

As a Senior Machine Learning Engineer, you'll design and enhance Moveworks' conversational AI platform, ensuring reliability and performance while collaborating with various teams to deliver solutions on time.

Lead the ML research and engineering teams at Wispr, focusing on developing multimodal speech recognition models and RL-based personalization of LLMs. Oversee model training, serving, and team growth.

The Machine Learning Engineer will fine-tune and deploy Large Language Models, optimize ML models, maintain data pipelines, and collaborate on AI features.