Top Machine Learning Jobs in San Luis Obispo, CA

Lead the development and deployment of machine learning systems, collaborating with teams to enhance performance and scalability, while optimizing data pipelines and models.

Design and implement a perception system for autonomous vehicles, focusing on data integration from various sensors and ensuring safe operation.

As a Senior Machine Learning Engineer, you'll develop and deploy AI-driven products, build robust ML models, and collaborate with teams to enhance clinical research using advanced AI solutions.

The Lead Machine Learning Engineer will develop scalable ML systems for optimizing advertising performance, collaborating with global teams and applying advanced ML techniques.

Build and optimize recommendation systems, deploy ML models for personalization, enhance data pipelines, and run A/B tests to drive business growth.

The Senior Machine Learning Engineer will develop and deploy ML models for personalizing user experiences and optimizing content discovery, driving significant revenue growth.

Lead the design, deployment, and scaling of machine learning systems for real-time user recommendations, improving engagement and revenue at scale.

The Lead ML Engineer will design and deploy complex ML systems to optimize ad performance, working with global teams to enhance user engagement and drive revenue.

As a Machine Learning Engineer, you will design, build, and optimize ML models for ad ranking, bidding, and measurements, ensuring effectiveness across Reddit's advertising solutions.

Lead the architecture and development of Reddit's ML Feature Platform, overseeing real-time feature store design, team mentorship, and infrastructure optimization.

As a Senior Machine Learning Engineer, you will design, implement, and optimize ML models for ad ranking and bidding, driving value for Reddit's advertisers.

As a Software Engineer for ML Feature Platform at Reddit, you'll architect and maintain infrastructure for ML features affecting user engagement. Responsibilities include working with large-scale systems, coding in Python, Scala, and Golang, and utilizing Kubernetes and big data technologies.

Develop scalable processes and algorithms for information retrieval and machine learning techniques. Collaborate with teams to improve systems for processing Yahoo mail data.

Lead technical direction for AI across products, architect RAG services, mentor engineers, and ensure compliance in AI usage.

The Lead Product Manager will define and execute product strategy for Machine Learning at ClassPass, collaborating with teams to enhance business through ML applications. Responsibilities include managing product roadmap, analyzing data products, and coordinating with cross-functional teams for successful rollouts.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.

As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.

As a Staff Machine Learning Engineer, you will design ML systems for location analysis, collaborate with teams to integrate ML into products, and mentor others while ensuring optimal system performance and reliability.

Lead machine learning platform strategy, scale ML infrastructure, mentor engineers, and drive cross-functional initiatives to enhance product features.

Lead computer vision projects and develop ML models for power grid analysis while mentoring engineers and ensuring software quality standards.

As a Machine Learning Engineer, you will lead end-to-end ML projects, integrate solutions, and collaborate with cross-functional teams to drive data science solutions that align with business objectives.

As a Senior Staff Machine Learning Engineer, drive AI safety initiatives, design monitoring systems, and collaborate cross-functionally to ensure robust, safe AI usage in community support products.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning systems, collaborate on AI features, and ensure reliable production performance.

Design and implement ML solutions, fine-tune and integrate LLMs, and collaborate on deploying intelligent features in production environments.

The Director drives the predictive modeling strategy, mentors others, leads initiatives, and advises on data strategy and innovation in credit risk and collections.