Top AI & Machine Learning Jobs in New York City, NY

As a Staff Applied Scientist at Coinbase, you'll develop causal inference models, establish measurement standards, provide technical mentorship, and guide product development with data-driven insights.

As a Senior Applied Scientist, you'll lead pricing experimentation, develop pricing models, analyze impact, and communicate insights to leadership while collaborating with cross-functional teams.

Design, build, and scale production ML systems (including LLMs) to automate customer support and compliance workflows. Lead technical roadmaps, write high-quality Python code, mentor engineers, ensure secure, scalable architectures, and resolve complex reliability issues.

The Senior Data Scientist will analyze business challenges, conduct experiments, develop metrics, and collaborate with teams to drive data-driven decisions and user growth.

The Data Scientist will analyze ambiguous problems, drive data-driven decision making, manage data metrics, and lead experimental rigor while collaborating with teams to improve Coinbase products.

The Principal Software Engineer will lead AI automation efforts at Coinbase, designing AI-driven systems, mentoring teams, and solving complex AI challenges to improve operations and developer productivity.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

The Senior Data Scientist will analyze business problems, guide data visualization, and ensure statistical rigor while collaborating with cross-functional teams at Coinbase.

As a Senior Data Scientist, you will analyze data to produce insights, guide team decisions, improve systems, and influence stakeholders. You'll conduct rigorous experimentation and causal analysis to solve complex business challenges.

As a Senior Data Scientist at Coinbase, you'll analyze complex problems, influence product strategy using insights, and guide data practices in a high-caliber team environment.