Top Machine Learning Jobs in Los Angeles, CA

As a Principal Applied Scientist, you'll define the technical vision for offer optimization and conversion modeling systems, ensuring alignment across teams while overseeing large technical initiatives and contributing to real-world machine learning solutions.

Lead teams building computer vision and machine learning for AI dash cameras, managing model lifecycle, coordinating with cross-functional teams, and driving AI product development.

Manage a team of ML engineers to build and optimize Affirm's economic decisioning engine using advanced ML techniques. Collaborate across teams, provide technical leadership, and mentor engineers while driving a cohesive long-term ML strategy.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.

Lead the design and implementation of critical Safety AI initiatives, focusing on real-time perception systems for edge devices and optimizing models for production deployment in safety-critical environments.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

The role involves developing machine learning systems for Mars atmospheric modeling and multi-modal data fusion, contributing to autonomous science in space missions.

Develop and deploy machine learning systems for Mars missions, enhance atmospheric modeling, and integrate multi-modal data for autonomous science.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead the development of machine learning systems for Cedar Pay's Personalization Engine, manage ML engineers, and ensure ML model effectiveness.

Lead data science initiatives to develop and deploy AI solutions that improve business outcomes. Collaborate with cross-functional teams to analyze data, create models, and evaluate performance.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

The Staff Machine Learning Engineer will lead the development of search ranking systems, focusing on machine learning models for relevance, quality, and personalization through various advanced techniques and collaboration with cross-functional teams.

Design, build, and deploy machine learning models for threat assessment and decision-making in operational environments, collaborating with multidisciplinary teams and managing the ML development lifecycle.

As a Machine Learning Engineer at True Anomaly, you'll design and develop ML capabilities, assist with model development, and support data pipelines while collaborating with senior engineers in a mission-driven environment.

Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.

The role involves designing, building, and deploying AI/ML solutions, integrating them into enterprise systems, managing projects, and collaborating with teams.

The Executive Director will lead AI and enterprise data strategy, enhance operational efficiency, ensure regulatory compliance, and drive AI adoption across the organization.

The role involves creating scalable AI and ML solutions, collaborating with teams, analyzing data, and deploying models in production environments.

Lead Roku's unified Search and Voice product organization to define the multi-year strategy for the Roku Entertainment Assistant. Own roadmap, prioritization, monetization, product quality, and cross-functional alignment. Grow and mentor product teams, present to senior leadership, drive data-driven experimentation and Gen-AI initiatives (LLMs, RAG, conversational AI), and ensure AI safety, privacy, and compliance while delivering measurable engagement and revenue outcomes.

Lead design, experimentation, and validation of agentic AI capabilities for legal products using ML, NLP, LLMs, RAG, and hybrid retrieval. Define agentic workflows, retrieval strategies, evaluation metrics, and benchmarking. Analyze large legal datasets, translate results into product recommendations, collaborate with product/engineering/legal experts, and mentor the data science team.

The Engineering Manager, Data Science will lead a team to drive machine learning initiatives in AdTech, focusing on optimization and modeling strategies to enhance client success and operational efficiency.

The Head of Data will lead the data organization, define the company-wide data strategy, ensure high-quality decision making, collaborate across teams, mentor leaders, and establish best practices in data governance and execution.

Lead the strategy and design of GenAI and agentic AI solutions. Oversee development and deployment of AI systems, ensuring scalability and reliability while fostering innovation and collaboration across teams.

The role involves designing, building, and deploying computer vision models for vehicle damage detection, covering the entire ML lifecycle and collaborating across teams.