Top Remote Machine Learning Jobs in San Diego, CA

The Manager, Growth Analytics & Marketing Science will build and evolve marketing measurement frameworks, drive analytics, and optimize marketing strategies through data and AI.

The Senior Product Manager will lead the pricing and valuation engine, overseeing ML modeling, pricing systems, and improving valuation accuracy while managing cross-functional roadmaps and execution.

Co-found and lead a stealth startup building an agentic AI platform embedded in CAD tools to automate geometry updates, feature-tree edits, and cross-tool workflows. Drive product, engineering, and commercial strategy, hire the founding team, and develop a defensible data capture and automation stack for industrial CAD workflows.

This role leads the ML Acceleration team, focusing on enhancing ML model training efficiency and team management, while driving technical strategy and collaboration.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

Lead end-to-end design and registration of agricultural soil carbon projects, interpret and implement VCS methodologies, design soil carbon sampling and GHG measurement strategies, prepare and defend project documentation, embed methodological rigor into products and processes, train staff, advise leadership on risk and strategy, and represent Perennial in registries and industry forums.

Lead Curology's AI-powered care platform Aira, focusing on mobile-first patient experiences, driving product strategy, and ensuring seamless human-AI collaboration while managing cross-functional teams.

Lead the advancement of embedding-based retrieval systems, focusing on multimodal models, model performance, and extensibility for various use cases.

Lead the strategic direction of data science at Mission Lane, innovating machine learning applications and managing a high-performing team to enhance financial outcomes.

The VP of Client Development will lead InMobi's growth strategy within the OEM and Telco sectors, establishing executive partnerships, joint business plans, and aligning product innovation to maximize market opportunities. The role requires extensive experience in enterprise partnerships and strategic business development with global technology leaders.

The Principal Product Manager will define and drive multi-team AI and product strategies, focusing on AI customer service innovations and leading cross-functional initiatives to achieve measurable business impact while engaging with customers and stakeholders.

The role requires leading AI business strategy and advising C-suite executives on AI products to enhance adoption and business outcomes, including creating actionable insights and conducting market research.

Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments.

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

Manage a portfolio of customers as primary contact, drive adoption and retention, respond to support requests, troubleshoot issues with product teams, identify upsell and renewal opportunities, and provide customer insights to product and engineering.

The Pre-Sales Solutions Engineer will advise customers on AI solutions, collaborate with sales to drive revenue, and deliver technical demonstrations to address complex challenges in the insurance industry.

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

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The Senior Vice President of Underwriting will oversee underwriting outcomes across multiple lines, driving growth and improving loss ratios through data-driven strategies and leadership.

Join Nextdoor's machine learning team to build data-intensive products, develop ML models, analyze datasets, and enhance user experiences. Collaborate closely with product and data science teams.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Lead early-stage product experimentation and prototype spatial, 3D, and AI-driven experiences. Translate ML/CV capabilities into testable products, partner with engineering on execution, shape strategy across the portfolio, and communicate outcomes to stakeholders.

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

The Senior Machine Learning Engineer will develop core ML models, manage data pipelines, and collaborate with stakeholders to deliver scalable ML solutions.

The Sr AI Platform Specialist Solution Architect will provide technical sales support for AI solutions, architect AI systems, and facilitate customer engagement, focusing on removing blockers for adopting Red Hat AI.