Top Remote Machine Learning Jobs in Sacramento, CA

Lead the Data Science team, overseeing the development and deployment of ML solutions, managing analytics workflow, and collaborating with cross-functional teams.

The Research Scientist at Yahoo will design machine learning solutions, analyze data, and collaborate with engineering teams to implement research results.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The Director of AI will lead enterprise AI strategy, define architecture, evaluate AI platforms, ensure governance, and enhance digital workflows across various business functions to improve operational efficiency.

Lead the Revenue Optimization team for Netflix's ad business, focusing on optimization algorithms and collaboration with various stakeholders to enhance advertising systems.

As a Senior Data Scientist, you will leverage statistical modeling and machine learning to optimize ad-related projects, collaborating with various teams to drive impactful product decisions and metrics measurement.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

Lead TELUS Digital's Google CES initiatives, managing team performance, delivering AI-powered customer engagement solutions, and ensuring client satisfaction while driving innovation.

Seeking a Senior Full Stack .NET Developer to work on a social good project, with strong skills in C#, AngularJS, design, and UX. Requires 5+ years of experience.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

The role involves developing cutting-edge AI/ML models for biology, leading research strategy, and mentoring. Requires expertise in machine learning methodologies and experience in biological data.

Lead development and execution of MVB's AI and automation strategy, including Generative and Agentic AI and RPA. Partner with business and technical stakeholders to design, pilot, and scale solutions, establish governance and best practices, monitor performance metrics, manage vendors, and deliver training to ensure ethical, secure, and effective AI deployments.

Intern Business Analyst on the Customer Success team: run client discovery, analyze requirements, define KPIs, develop business cases, recommend loyalty strategies, oversee GRAVTY implementation, create training and marketing collateral, manage documentation, and support product and go-to-market activities.

Design and manage curated fact and dimension datasets, semantic/subject-area models, and governance. Partner with BI and data engineering to enable self-service analytics, ensure data quality and documentation, and prepare datasets to support future ML and advanced analytics.

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

Lead research to enhance AI safety, trustworthiness, and alignment; develop frameworks, collaborate cross-functionally, and influence policies to ensure responsible AI in nonprofit contexts.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

Responsible for leading a team of engineers, addressing complex backend problems, coaching, driving hiring decisions, and shaping project roadmaps at DuckDuckGo.

The AVP, Digital Portfolio Management oversees P&L for small business products, driving underwriting profitability and digital transformation through analytics, cross-functional collaboration, and strategic initiatives.

The intern will contribute to MLOps platform development, implement AI/ML research ideas, and work on decentralized systems and frameworks.

As a Software Dev AI/ML Co-op, you will improve development in Cloud Computing and AI/ML, working on data analytics and coding in Python and C++. You'll contribute to model implementations and exploratory data analysis.

Research and develop advanced machine learning and AI algorithms, evaluate models, design experimental systems, and publish research findings.