Top Machine Learning Jobs in San Luis Obispo, CA

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

Design, build, and scale production ML systems (including LLMs) to automate customer support and compliance workflows. Lead technical roadmaps, write high-quality Python code, mentor engineers, ensure secure, scalable architectures, and resolve complex reliability issues.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

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.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

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.

The Senior Product Manager will lead the integration of airline and third-party partners, optimize supply metrics, and leverage AI for automation. Responsibilities include managing APIs, collaborating with engineering, and improving the booking experience.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

The Director of Product will own the strategy for Vibe's identity graph, drive audience products, and ensure commercial impact by translating capabilities into narratives for clients. Responsibilities include managing internal data platforms and driving product vision while leveraging data partnerships and compliance frameworks.

The Principal AI Forward Deployed Engineer drives AI adoption and implementation at enterprise accounts, advising senior finance stakeholders and managing AI use cases and change management strategies.

As a Data Scientist, you will solve complex data problems using AI and machine learning, develop prototypes, and contribute to product strategy.

The Senior AI Engineer role involves deploying AI solutions to extract structured data from medical charts, improving efficiency and ensuring compliance. Responsibilities include developing AI extraction pipelines, maintaining AI model production, and collaborating with cross-functional teams to integrate AI solutions into healthcare systems.

Lead the Compliance Infrastructure and Analytics team to develop financial crime solutions, ensuring regulatory compliance while enhancing product efficiency and user experience.

The Enterprise Account Executive will drive revenue growth by managing complex sales cycles, closing deals with Fortune 500 companies, and understanding both technical and business needs.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The role involves acting as a technical advisor for clients, driving product adoption and implementation of the Moloco Commerce Media platform, providing training, and collaborating with teams to enhance solutions based on client feedback.

Lead a team to enhance Cengage Learning Platforms by implementing AI-first strategies, improving software delivery processes, and ensuring product quality.

The Embedded ABM Manager will execute account-specific marketing plans, develop technical fluency in the platform, engage stakeholders, and refine ecosystem intelligence to optimize sales processes.

The Senior Data Scientist will design, develop, and own machine learning systems for document verification focusing on computer vision and deep learning. Responsibilities include technical leadership, engaging with customers, and collaborating with engineering and product teams.