Top Senior Machine Learning Jobs in San Diego, CA

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

Lead the development of AI/ML systems for TIDAL, enhancing user experience through personalized recommendations and playlists while collaborating with cross-functional teams.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Design and develop edge AI firmware for camera systems, ensuring accurate AI algorithms, collaborating on architecture, and mentoring engineers.

The Account Executive will drive sales in enterprise accounts, develop strategic plans, and foster long-term relationships to enhance revenue and advocate for the company’s solutions.

Lead the development of business models and go-to-market strategies in the Pharma commercial space, focusing on partnerships and innovative pricing.

This role focuses on increasing revenue in the Federal government sector by securing new accounts, expanding relationships, and engaging with government decision-makers to deliver ExtraHop's solutions.

As a Client Solutions Architect, you will lead technical solutions for clients, drive product adoption, manage projects, and serve as a liaison between clients and internal teams at Arine.

The Senior Product Manager will lead the development of payment systems in loan servicing, collaborating with internal teams to enhance product features and compliance, focusing on AI-driven solutions in auto finance.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

As a Staff Product Designer at Jerry, you'll lead design efforts for key products, modernize car care features, and collaborate with cross-functional teams to create exceptional user experiences across mobile and web platforms.

The Senior Scientist in Clinical Analytics will implement data analytics strategies, deliver insights through advanced analytics, and collaborate with stakeholders to drive business efficiencies and decisions.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

Lead the development of AI-driven security workflows, integrate machine learning models, establish data pipelines, and mentor engineers.

The AI Architect will lead the design and development of AI-powered products, aligning technical architecture with business needs and driving product strategy.

Manage dealership accounts, build relationships, communicate client needs, analyze CRM data for improvements, and collaborate with product teams for enhancements.

As a Senior Machine Learning Engineer, you will design, build, and deploy large-scale ML systems to enhance Dropbox's AI features, collaborating with teams and mentoring peers.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

The AI/ML Software Engineer will embed models into workflows, collaborating with teams to enhance AI applications and tools, focusing on automation and best practices.

Lead data-driven decisions in weather and climate analytics by developing machine learning models, managing projects, and mentoring team members.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.