Top Machine Learning Jobs in San Luis Obispo, CA

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Solutions Architect conducts platform demonstrations, designs use case mockups, responds to customer queries, and collaborates on RFPs to showcase One Model's people analytics solutions.

The Digital Marketing Analytics Specialist analyzes marketing performance, develops reports and dashboards, and optimizes strategies using data-driven insights.

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.

Develop and prototype new generative models for Pinterest Canvas, oversee training data collection, mentor junior researchers, and publish findings.

As a new grad Software Engineer, you will design and develop software, optimize performance, and collaborate with cross-functional teams focused on AI and 3D technology.

As a Staff Developer, you'll lead the AI team at 1Password, setting technical direction, developing ML tools, and collaborating with various teams.

The role involves building machine learning algorithms, implementing data cleaning processes, and developing predictive models in the energy sector.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

The Compliance Data Analyst will develop analytic solutions, collaborate with stakeholders, and perform advanced data analysis to enhance compliance initiatives.

Lead product strategy for data and AI capabilities at SmithRx, focusing on automation and decision-making tools. Collaborate across teams and drive measurable results through analytics and user advocacy.

Lead the development of AI-powered tools and products, manage product roadmaps, collaborate cross-functionally, and drive innovation in media and advertising.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

The Senior AI Software Engineer role focuses on creating AI-driven developer tools and workflows to enhance software development while improving productivity and reducing friction for developers.

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.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

Provide technical consultation for sales, design, and implementation of networking and security solutions, engaging with customers and partners to influence technology strategies.

As a Lead SDET, you will define quality strategies, implement quality systems, and collaborate with cross-functional teams to enhance product quality in AI infrastructure.

The Senior Data Scientist will drive product innovation through experimentation and robust measurement strategies in Netflix Games, collaborating with Product and Engineering teams to enhance user experience.

Lead and mentor ML and Software Engineers in building scalable AI systems, drive technical strategy, and foster collaboration across teams.

As a Solutions Engineer, you will drive sales growth, establish client partnerships, and provide technical support for automation solutions in the supply chain industry.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

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

The role focuses on delivering business intelligence and analytics solutions through advanced data processing, machine learning, and automation to support government missions.