Top Machine Learning Jobs in San Diego, CA

Lead complex cross-team integration projects, manage risks, establish processes, facilitate communication, and track success metrics in partnership with Product and Engineering teams.

Manage and expand sales territory for AI-powered healthcare software, driving revenue growth and building strong relationships with hospital executives and decision-makers.

Responsible for designing and scaling systems for go-to-market operations, implementing low-code workflows and AI-driven processes, and ensuring efficient cross-functional collaboration.

Lead the development and growth of line of credit products, establish roadmaps, ensure cross-functional collaboration, and promote a culture of continuous improvement.

The Senior Data Scientist will lead marketing efficiency efforts using data science techniques, enhance internal tools for experimentation, and collaborate with product and engineering teams.

Seeking a machine learning engineer to build solutions for personalization, automated experimentation, predictive modeling, and content generation, impacting customer interactions.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

As a Senior Manager/Director of Strategy and Operations, you'll lead market strategies, manage revenue analytics, and support sales enablement to drive global growth in streaming monetization.

You will lead and mentor engineers while driving the development of solutions for autonomous vehicles using Machine Learning and software engineering principles.

Lead the Anaplan platform and data strategy, develop financial models, implement advanced analytics, and mentor team members for a FinTech team.

The Pre-Sales Solutions Engineer will act as a technical advisor, helping customers understand AI solutions for insurance workflows, support sales processes, and ensure customer satisfaction with product demos and integrations.

The Technical Program Manager will support Distributed Energy Resource (DER) partners in integrating with EnergyHub, managing launches, tracking project progress, and ensuring post-launch support, all while optimizing processes for scalability.

The role involves developing AI-driven features for observability tools, collaborating with cross-functional teams, and delivering scalable solutions.

The Sales Development Representative is responsible for generating, qualifying, and nurturing leads, supporting the sales team, and developing outbound prospecting strategies to expand Mutt Data's presence in the U.S. market.

The Vice President of Enterprise Architecture will shape Aya's technology strategy across applications, data, infrastructure, and AI/ML, leading architecture vision and governance while integrating collaboration across various technical domains to enhance business outcomes.

Lead multi-omics analyses in therapeutic discovery, focusing on structural biology and proteomics; develop Python solutions and communicate findings.

The role involves transforming ideas into AI prototypes, collaborating with teams, and managing the entire development process from concept to delivery.

The role involves designing, building, and managing data pipelines and machine learning solutions for veterinary care, utilizing cloud services and various programming languages while collaborating within an Agile team.

As a Senior Machine Learning Engineer, you'll develop perception modules for autonomous vehicles, focusing on scalability and adaptability across global environments. Responsibilities include collaborating on algorithms, conducting large-scale experiments, and end-to-end deployment of models.

Lead AI development and operationalization for scalable AI/ML solutions, ensure compliance and data privacy, and manage a global team.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

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

The Senior Machine Learning Engineer will develop scalable ML systems, lead a team, mentor juniors, and work cross-functionally to enhance customer experience through machine learning solutions.

The Machine Learning Engineer will fine-tune and deploy Large Language Models, optimize ML models, maintain data pipelines, and collaborate on AI features.

Join Equilibrium Energy as a Staff/Sr Staff Software Engineer to enhance the Science Platform for ML model deployment, requiring strong Python and ML expertise.