Top Machine Learning Engineer Jobs in San Francisco, CA

The Senior Machine Learning Engineer will design and implement AI/ML solutions, analyze datasets, and communicate insights while collaborating with diverse partners.

As a Staff Machine Learning Engineer, you will explore machine learning techniques, develop scalable systems, mentor junior engineers, and collaborate on strategic projects to enhance AI adoption at Coinbase.

Lead ML feature strategy and engineering for fraud detection (ATO, scams). Build, validate, and promote features and pipelines, close infrastructure gaps, partner with ML engineers and product teams, mentor junior staff, and translate ML insights into production risk systems and business decisions.

The Staff Machine Learning Engineer will lead AI product initiatives, optimize ML models for Edge devices, and work with petabyte-scale data, collaborating across teams to enhance customer operations.

Develop ML and RL models for AV systems, streamline integrations, and create data pipelines. Collaborate within an ML team to accelerate project timelines related to autonomous vehicle technologies.

Lead a team of machine learning engineers to develop vertical ads products, enhance ad experiences, mentor staff, and uphold coding standards.

Lead advanced analytics and ML initiatives for power and renewables products. Align data strategy with product goals, assess business impact, oversee data governance and infrastructure, provide thought leadership, and mentor analytics team while collaborating cross-functionally to deliver measurable customer value.

The Senior Technical Director will lead the machine learning and algorithmic strategy for operational analytics, architecting ML systems and advanced algorithms, mentoring teams, and ensuring best practices in production environments.

The role involves architecting LLM systems, developing personalized workflows, fine-tuning models, and collaborating cross-functionally. Requires strong analytical skills and experience in ML/AI systems.