Top Senior Machine Learning Jobs in Los Angeles, CA

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

Lead and mentor a machine learning team, develop and deploy ML solutions, and ensure high-quality execution aligned with business goals.

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

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

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

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.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

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 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.

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.

The Senior Machine Learning Modeler will lead the design and implementation of AI-driven models for forecasting and financial planning, collaborating across teams to create scalable ML architectures and tools for model interpretability.

The Machine Learning Modeler will design and scale intelligent systems, build forecasting models, and collaborate with analytics teams to make data-driven decisions at Block.