Senior Machine Learning Platform Engineer (Platform)

• Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
• Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level.
• Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs.
• Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data.
• Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data.
• Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance., Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.

• 5+ yrs of industry experience as a Software Engineer.
• You have a strong understanding of distributed systems.
• You lead by example through high quality code and excellent communication skills.
• You have a great sense of design, and can bring clarity to complex technical requirements.
• You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience.
• You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves:

• Experience building ML models and working with ML systems.
• Experience working on a platform team, and building developer tooling.
• Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.