Top Machine Learning Jobs in San Diego, CA

The Research Scientist will lead and develop AI Alignment research agendas, publish findings, and contribute to best practices in AI safety research.

The Global Strategic Feasibility Analytics Lead develops feasibility data analytics initiatives, transforms data into insights, collaborates with stakeholders, and drives data-driven decision-making for study planning.

The Head of AI will lead LivePerson's AI strategy and team, focusing on AI governance, innovation, and collaboration with cross-functional teams to enhance customer experiences.

The Senior Customer Success Manager will oversee client relationships, ensure product adoption, conduct reviews, manage escalations, and drive customer growth and retention.

Develop and implement advanced reinforcement learning methods and distributed systems for AI agents. Collaborate with customers to understand needs and create tailored solutions.

Lead the technical vision for ML systems focused on personalization, architecting solutions, solving complex challenges, and mentoring senior engineers.

Lead the design and implementation of GPU compute clusters for AI and HPC workloads, managing infrastructure and optimizing performance.

The Senior Machine Learning Consultant designs and develops machine learning solutions while mentoring team members and collaborating with clients. Responsibilities include conducting R&D on AI/ML models, optimizing model performance, and ensuring adherence to ethical AI practices.

The Staff AI/ML Engineer will design and build AI-powered services, develop machine learning models, and optimize workflows, collaborating across teams to deliver quality solutions.

As a Staff Machine Learning Engineer, optimize card pricing models, lead ML lifecycle, collaborate with experts, and enhance predictive features.

The Solution Innovation Architect will design AI/ML demos, collaborate with teams, provide technical expertise, and lead advancements in AI/ML.

The Investor Services Specialist will manage daily investor operations, including processing capital activity and coordinating requests from investors and administrators.

The Product Marketing Manager will craft compelling messaging, lead go-to-market strategies, support sales with effective tools, and drive demand generation while analyzing market trends in supply chain solutions.

The Director of Data Science leads the data science team, driving innovation, managing projects, and collaborating with leadership to enhance healthcare claims processing.

Responsible for designing and executing sourcing strategies for technical roles, managing outreach, and enhancing candidate experiences while collaborating with engineering leads.

Lead the design and development of ML models for autonomous agricultural robots, overseeing the full ML lifecycle and collaborating with cross-functional teams.

The Director of Product Management for the Data Platform will drive the adoption and operational effectiveness of AlixPartners' data initiatives, ensuring stakeholder engagement and compliance.

The Head of Applied AI will lead the AI strategy and research team, driving innovations in generative AI and deep learning, while managing talent and collaborating across teams.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

The Executive Director will lead and scale the pharmacovigilance organization, ensuring compliance and safety throughout drug development while collaborating cross-functionally and mentoring a high-performing team.

The Principal Biostatistics Data Scientist will lead statistical analyses, guide methodologies, mentor team members, and contribute to data strategy and publications to support drug discovery and clinical research.

As an ML Solutions Architect, design, implement, and lead machine learning solutions for Conversation AI, collaborating with cross-functional teams to address complex business challenges.

The Director, Product Management will lead the Contracting Product team, driving the vision and execution of the Clear Contracts platform, focusing on AI and Machine Learning in healthcare contracting.

Lead market research and analytics initiatives, providing insights for commercial strategy and forecasting in NSCLC oncology. Mentor team and drive integration of advanced analytics.

The role involves building ML infrastructure, creating data pipelines, ensuring data quality, and collaborating with data scientists to optimize models.