Top Remote Machine Learning Jobs in San Luis Obispo, CA

Own end-to-end go-to-market strategies for FiftyOne Enterprise, bridging technical ML engineering with commercial goals through strategic messaging, GTM execution, and market intelligence.

Lead and mentor a team in developing AI models for Airbnb's Community Support Platform, focusing on strategy, innovation, and technical excellence.

The AVP, Field Engineering will lead a team managing technical field practitioners throughout the customer journey, drive technical wins, and mentor leaders while building a collaborative culture.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

Lead data science initiatives, build and improve machine learning models, communicate insights to influence decisions, and foster analytical rigor in a collaborative environment.

The Clinical Informatics Lead oversees data annotation and informatics teams, ensuring data quality, compliance, and collaboration with clinical standards for healthcare solutions.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

The fellow will conduct original security research on AI/ML systems, design attack methodologies, develop defensive techniques, and publish findings.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

Lead strategic partnerships with ISVs in AI infrastructure, ensuring optimization of NVIDIA technologies across software layers. Collaborate with teams to drive product and go-to-market strategies.

The Appraisal Policy Analyst will collaborate with customers to enhance valuation quality, analyze feedback, facilitate onboarding, and work with cross-functional teams to align goals and improve processes.

The Senior Software Architect will research and implement AI networking technologies, optimize inference systems, and drive architectural decisions for AI inference in distributed systems.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.

The Senior Data Analyst will develop and evaluate Generative AI and LLMs, implement machine learning models, and collaborate with teams to enhance customer experience and deliver data insights.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.

Lead a team in defining and building NVIDIA's self-driving software. Manage technical product and program execution for autonomous vehicle projects.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

The AI Strategist will develop AI systems for clinical decision support, collaborating cross-functionally to ensure systems align with clinical standards and enhance patient care.

The AI Executive Partner provides strategic advisory support to C-Suite members, leveraging AI to drive organizational outcomes and build relationships while managing member engagements.

The role involves producing insights for AI product management, advising clients on AI strategy, and developing business approaches for AI technologies. The analyst will work closely with executives and product managers, driving AI investments and guiding product lifecycle management.