Machine Learning Jobs in Torrance, CA

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 Automation Lead manages a team focused on building automated scripts for AI training, ensuring process improvements, KPI management, and collaboration across teams.

This role involves leading the technical vision for personalization, architecting advanced ML solutions, and mentoring engineers while influencing cross-functional strategies at Launch Potato.

The Principal ML Engineer will lead the development of advanced machine learning systems for personalization, shaping the technical and strategic direction while mentoring teams and driving innovation.

The role involves conducting research in Generative AI, developing technologies, collaborating with teams, and publishing work in scientific venues.

The Principal Machine Learning Engineer will establish the technical vision for personalization, solve ML challenges, and lead initiatives that enhance business impact across the organization.

The Principal Machine Learning Engineer will establish technical vision for personalization, address complex ML challenges, and lead strategy across teams, focusing on scalable systems and innovative solutions.

Lead a team of ML engineers in building complex personalization systems, improve model quality, and mentor engineers while coding hands-on.

Lead and mentor a team of ML engineers to build advanced personalization and optimization systems while contributing to model development and technical excellence.

The role involves architecting scalable ML solutions, collaborating on data processing, mentoring junior engineers, and promoting best practices in machine learning.

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.

The Product Manager for Acquisition will shape the strategy for user acquisition and retention, optimizing multiple product touchpoints for growth and engagement.

The Field Application Engineer provides technical support and solutions for electronic and automation products, collaborates with sales teams, and ensures customer satisfaction while driving business growth.

Lead AI decision-making initiatives, manage data science projects, develop AI frameworks, and engage with stakeholders to drive insights for business challenges.

As a Senior Data Scientist, lead modeling strategy for deep learning, develop ML models for assessing player experience, mentor engineers, and collaborate with cross-disciplinary teams.

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.

Lead strategy and operations for Jerry.ai's marketplace growth, focusing on quoting engine and automation. Collaborate cross-functionally to enhance user experience and ensure carrier success.

As a Senior Associate in Business Operations, you will drive data-informed strategies, manage A/B testing, and optimize operational efficiency in a fast-growing startup.

The Product Manager will oversee AI-driven communications, work with teams to enhance messaging systems, analyze data, and stay updated on AI trends.

Lead the architectural design of data and machine learning systems for a global creator marketplace, focusing on recommendations, data ingestion, and real-time optimization.

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

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

The Senior Manager, Content Operations leads high-performance teams to optimize content workflows, implements data-driven solutions, and drives AI innovations to enhance content production and operations.

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