Machine Learning Jobs in Torrance, CA

As an ML Applications Engineer, you will design and maintain software solutions, implement data workflows, optimize applications, and collaborate on usability enhancements.

Lead and mentor the Generative AI team, developing and optimizing machine learning models and solutions for multimodal data processing and document understanding.

Design and deploy deep learning models for autonomous rail vehicles, focusing on machine learning and computer vision challenges. Collaborate with cross-functional teams to integrate ML into real-world applications.

Lead design and development of scalable ML infrastructure for autonomous vehicles. Collaborate with ML teams for efficient model training and deployment. Manage end-to-end ML pipelines and cloud-based solutions.

The intern will assist in developing AI and machine learning systems, gaining hands-on experience with data processing, model training, and evaluation techniques.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Lead the design and optimization of ML systems at Scribd, managing cross-team projects, mentoring engineers, and shaping technical direction for ML initiatives.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

The Staff Data Scientist will lead the design and development of Game Understanding Agents using machine learning methods, mentoring engineers and setting technical direction.

As an ML Engineering Intern, you will analyze stakeholder needs, research models, implement training loops, deploy models for texture generation, and evaluate model performance.

The Senior Machine Learning Engineer will design and develop ML models for 3D assets, integrating AI into creator tools while collaborating with engineering and creative teams.

Design and develop machine learning models and algorithms for advanced 3D printing systems, integrating with simulation frameworks and collaborating with software engineers.

The Staff Software Engineer will architect and implement ML infrastructure, focusing on deployment, monitoring, and lifecycle management of ML models, applying MLOps practices.

Lead and build a new ML Platform team, align stakeholders, architect infrastructure for ML inference at scale, and ensure team execution on product delivery.

The role involves designing, building, and optimizing large-scale ML systems for personalized recommendations, focusing on data ingestion, model training, and collaboration with cross-functional teams.

Design, build, and optimize ML systems for recommendations at scale. Collaborate with teams on data pipelines, model development, and experimentation.

Design, develop, and maintain software systems at StubHub, focusing on complex problems and mentoring junior engineers to enhance technical capabilities.