Machine Learning Jobs in Torrance, CA

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.

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.

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 and mentor a team of Data Scientists to enhance viewer experience, improve algorithms, and deliver data insights. Collaborate across teams for product strategy and analytics studies.

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.

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

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

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

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 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.

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 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.

As a Robotics Engineering Intern, you will work on robotic grinding applications, collaborating with teams to design, implement, and test systems, while enhancing manufacturing efficiency.

Design and develop MLOps workflows, deploy machine learning models on AWS, and collaborate with teams to deliver solutions that solve business problems.

The Technical Program Manager will lead engineering operations, manage performance investigations, develop roadmaps, and mentor junior team members to ensure operational excellence in a fast-paced environment.

The Machine Learning Engineer will create and evaluate models, conduct code reviews, and ensure code quality while building scalable products.

Lead a team in developing and optimizing a personalized video recommendation engine, focusing on machine learning infrastructure and A/B testing. Ensure system architecture scalability, performance, and reliability.

The AI Strategist will develop AI systems for clinical decision support, collaborating cross-functionally to ensure systems align with clinical standards and enhance patient care.