Senior Machine Learning Platform Engineer (Platform - AI)

Details

Ready to be pushed beyond what you think you’re capable of?

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.

Responsibilities

• 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.

Requirements

• 5+ years of industry experience as a Software Engineer.
• Strong understanding of distributed systems.
• Lead by example through high quality code and excellent communication skills.
• Great sense of design, able to bring clarity to complex technical requirements.
• Treat other engineers as customers with an obsessive focus on delivering a seamless experience.
• Mastery of the fundamentals, able to quickly jump between varied technologies and operate at a high level.

Nice to Have

• Experience building ML models and working with ML systems.
• Experience working on a platform team, and building developer tooling.
• Familiarity with Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB.

Benefits

• Extended Health Care Benefit (coordinates with Provincial Coverage)
• Dental Care
• Vision Care
• Virtual Health Care (Consult+)
• Life & Accident Insurance
• Disability Coverage
• Employee Stock Purchase Plan (ESPP)
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Learning and Development Allowance
• Employee Assistance Program
• Global Traveler Medical Policy
• Fertility Benefits
• Generous Time off/Leave Policy