Top Remote Machine Learning Jobs in Sacramento, CA

Lead centralized Machine Learning efforts at Affirm, managing model development lifecycles, fostering AI adoption, and overseeing a team of ML professionals to enhance business outcomes.

The Staff Data Scientist will build and manage machine learning models to optimize personalization, inventory, and logistics while leading the ML function and collaborating cross-functionally.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

Drive technical innovation in promotional media measurement by building predictive models, executing experiments, and collaborating with cross-functional teams.

Develop optimization algorithms for ad personalization, integrate ML model predictions, translate findings for stakeholders, and A/B test features.

The role involves analyzing data, developing and deploying machine learning models, and applying statistical methods to derive insights and solve business problems.

As a PhD intern, you'll train and adapt large models, build multimodal models, explore reinforcement learning, and define success metrics at Zillow scale.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

The role involves developing advanced machine learning solutions, collaborating with experts, and managing ML model architecture and deployment.

The Machine Learning Engineer will design, develop, and deploy ML models using Google Cloud tools, focusing on Document AI and Vertex AI, ensuring scalable applications and efficient performance.

Develop and implement machine learning algorithms for genomic technology, collaborating with cross-functional teams and optimizing performance across various data types.

The internship involves developing AI solutions, consulting on architecture, building data systems, and gaining experience in machine learning and cloud technologies.

Lead research and development of advanced machine learning solutions, optimizing large-scale infrastructure and providing technical guidance on high-impact projects.