Machine Learning Jobs in Torrance, CA

The Senior Technical Product Manager leads teams to develop data products, drives project delivery, defines product vision and strategy for data enablement, and collaborates with engineering and game teams to enhance player experience.

As a Senior Machine Learning Engineer, you'll create ML models to optimize production processes, collaborating with engineers to enhance manufacturing intelligence.

Manage the validation team activities related to structural testing, ensuring compliance with safety standards, and managing budgets. Oversee the training, quality, data analysis, and stakeholder communication to improve manufacturing processes.

Manage the Neutron Software team, oversee project deployment, and mentor engineers while ensuring high-performance culture and timely delivery of software.

The Senior Data Scientist will develop production-level machine learning models, work on recommendations and search using NLP, and contribute to high-performance code. They will collaborate with a team to solve challenges and enhance solutions.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

The role involves leading a Consumer Insights team, managing research projects, and delivering actionable insights for Netflix's content studio. Responsibilities include collaborating with cross-functional teams, identifying innovations, and influencing strategic decisions based on data-driven research.

Lead machine learning engineers to achieve performance metrics, oversee model development, integrate ML into products, and foster team improvement.

The Turbomachinery Portfolio Lead will drive revenue growth by crafting business strategies and managing partnerships in aerospace and defense sectors.

Lead revenue growth in hypersonics, develop strategies, build partnerships, and manage cross-functional teams for contract conversions.

Lead Data & Technology Solutions for major brands, driving innovation and strategic transformation in marketing through data, identity, and technology solutions.

Freeform seeks multidisciplinary technical leaders for engineering and production roles. Ideal candidates have strong engineering backgrounds, expertise in physical systems, and leadership in fast-paced environments.

Design and implement foundational machine learning systems, develop conversational interfaces, and improve existing generative AI solutions for hardware engineering.

The intern will research and implement ML models, deploy optimized image and 3D generation models, and evaluate performance while collaborating with the R&D team.

Design and implement machine learning systems, collaborate with teams, write efficient code, and manage end-to-end machine learning solutions.

As an Applied Scientist III, you will shape AI strategies, develop scalable applications using cutting-edge technologies, and mentor junior scientists at Capital Group.

Lead the development of machine learning models for paid search marketing, focusing on causal measurement and real-time bidding strategies, while mentoring teams and collaborating across functions.

Lead the design and implementation of enterprise-scale AI/ML solutions on Azure and AWS, ensuring security, scalability, and performance. Collaborate with teams to optimize workloads and integrate solutions with data platforms.

The intern will conduct machine learning research, focusing on personalization, NLP, reinforcement learning, and computer vision while collaborating with various teams to improve Netflix's services.

Interns will design, build, and deploy machine learning models that enhance Netflix's services, collaborating with various teams to translate business needs into ML solutions.

The Quantitative Analyst conducts quantitative research to inform investment decisions, collaborates with teams, and communicates insights effectively.

The Machine Learning Engineer will design and implement ML algorithms for wireless communication, analyze RF datasets, and integrate ML with Silvus' products.

Lead the modeling strategy for ML Bots, developing predictive features, designing ML systems, mentoring engineers, and collaborating cross-discipline to enhance player experiences within games.

As Principal Software Engineer for the ML Platform team, you'll architect ML infrastructure supporting deployment, observability, and lifecycle management of models across Riot's games. Responsibilities include implementing CI/CD workflows, metric instrumentation, and ensuring a robust, extensible system for data scientists and product teams.

This internship involves working with machine learning concepts, algorithms, and applications while collaborating on projects and preprocessing data.