Machine Learning Jobs in Torrance, CA

The Director of AI/ML Engineering will lead and scale the AI/ML team, collaborating on innovative projects in machine learning, computer vision, and predictive algorithms. Responsibilities include mentoring team members, overseeing the ML lifecycle, and driving technical vision alongside senior leaders.

Develop and implement autonomy technologies for space security, focusing on AI and optimization. Collaborate with cross-functional teams to solve complex challenges.

As a Systems Engineer, you will build and maintain systems infrastructure, create automation frameworks, and collaborate with cross-functional teams. Responsibilities include device management, troubleshooting, and leveraging AI and ML for system optimization.

The Quantum Device Measurement Scientist will develop techniques for operating spin qubits, conduct experiments, analyze data, and contribute to publications, requiring strong experimental physics and software skills.

The Principal Data Scientist will lead analytics strategies, drive execution, mentor junior scientists, and innovate analytical practices for business decisions.

The Principal Software Engineer will design and implement scalable backend services, lead technical initiatives, and ensure high availability across critical systems.

The role involves managing technology solutions, mentoring teams, and building client relationships while delivering innovative AI and GenAI technologies.

The Manager will oversee proactive Trust & Safety operations, enhance detection systems, manage escalations, analyze data, and collaborate with teams to improve platform safety.

Lead ads ranking at Snap, improve user relevance, advertiser performance, and revenue using ML models. Collaborate with cross-functional teams and mentor PMs.

Provide operational support for harm detection, develop proactive detection rules, and collaborate with various teams to enhance platform safety.

Lead the proactive Trust & Safety Operations team at Snap to enhance user safety, develop detection rules, and optimize tools through cross-functional collaboration.

The Staff Machine Learning Engineer will create models for users and advertisers, perform code reviews, and build scalable products while collaborating with internal and external partners.

The Machine Learning Engineer will create models to drive user and advertiser value, perform code reviews, and build scalable products with a focus on quality.

Lead the Privacy Engineering team at Snap Inc., overseeing privacy initiatives, data governance, and regulatory compliance while aligning with business goals.

The Director of Data & AI will lead the development of scalable data architectures and AI initiatives to enhance operational efficiencies and automate processes for space missions.

As a Data Scientist Intern, you will analyze large datasets, develop machine learning models, conduct experiments, and present findings to improve user experience.

Oversee assembly operations, implement process improvements, and collaborate with engineering and production teams to optimize manufacturing of rockets.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

The Machine Learning Engineer will build and deploy ML systems, collaborate with teams, and optimize recommendation models to enhance user experiences.

The Technical Business Systems Analyst will bridge the gap between business and IT by documenting requirements, analyzing processes, and optimizing systems using AI or automation to enhance efficiency and compliance.

Develop and deploy machine learning models for risk assessment, collaborating with teams to enhance Gusto's product offerings while ensuring model performance and reliability.

The Software Engineer, ML Infrastructure will design, optimize, and manage systems for machine learning workloads, ensuring efficient AI model training and serving within Snapchat's infrastructure.

The Senior AI Consultant will collaborate with leaders to identify automation opportunities, design proof of concepts, implement AI solutions, and ensure value creation through effective change management.

In this leadership role, the Principal Architect develops and implements enterprise-wide data security strategies, focusing on AI and ML challenges, while mentoring teams.

Lead R&D initiatives focusing on software architecture and full-stack development, with expertise in SATCOM systems and advanced technologies. Drive innovation in multi-disciplinary engineering environments to enhance national security systems.