Top Machine Learning Jobs in San Diego, CA

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

The Product Copywriter will enhance in-product language, creating clear and consistent UX copy that aligns with the brand, while developing a comprehensive UX Voice & Tone Guide.

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.

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

The Director of Business Development, Data Solutions is responsible for scaling business, managing key accounts, and building strategic partnerships, focusing on data services and analytics solutions.

Research decentralized learning, design incentive mechanisms for community-driven AI, and prototype systems to enhance AI infrastructure.

The Research Scientist will develop innovative neural architectures, work with engineers on product alignment, and stay updated on academic research.

Interns will prototype rapidly, iterate, and contribute to open-source projects at the intersection of AI and cryptography.

Lead data acquisition and management strategies for AI models, analyze data systems, oversee partnerships, and guide a team in optimized data usage.

Lead and manage a team to produce ML-based features for creative tools, leverage machine learning systems, and foster team growth.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

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

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.

This role involves training AI models in Energy and Power by providing feedback on outputs, problem-solving, and identifying biases in the AI's knowledge base.

As an AI Tutor, you will teach, evaluate, and red-team AI models in data science principles, focusing on statistical modeling, machine learning, and data ethics.

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.

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

As a Senior Solutions Consultant, you will support sales by understanding client needs, providing product demonstrations, and managing proposals while fostering collaboration between teams.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

The Senior Backend Engineer will develop and maintain backend systems, collaborate on data-driven solutions, and enhance products using machine learning.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

Lead application of data science and ML in nonclinical safety assessments. Drive initiatives for innovative tools and compliance throughout drug discovery. Mentor teams and implement data solutions for regulatory submissions.

Lead a team to develop Dropbox's AI product, Dash. Focus on driving product revenue, operational agility, and mentoring team members. Utilize ML techniques and data-driven insights for decision making.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

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.