Senior Machine Learning Platform Engineer (Platform) at Coinbase

This role is designed for a seasoned Software Engineer with at least 5 years of experience who specializes in the "plumbing" of AI—distributed systems, data pip

Work type: remote

Location: Remote - USA

Salary: $186,065 – $225,000/yr

Type: Full-time

Summary

This role is designed for a seasoned Software Engineer with at least 5 years of experience who specializes in the "plumbing" of AI—distributed systems, data pipelines, and infrastructure. Unlike a pure Data Science role, this position focuses on building the platform that allows models to run at scale. You should be comfortable working with a high-performance, "intense" culture and have a strong command of backend technologies like Python or Go. The compensation is highly competitive, with a base salary up to **$225,000 plus equity and bonuses**. While the position is **fully remote** within the USA, it offers a hybrid connection style, requiring travel for team offsites several times a year. This is a high-impact opportunity to work on mission-critical systems used for fraud detection and blockchain analysis in a fast-paced crypto environment. **You might be a good fit if you:** * Have deep expertise in distributed systems and low-latency streaming (e.g., Spark, Ray, or Flink). * Enjoy building internal tools that make other engineers more productive. * Thrive in a high-pressure, feedback-heavy environment where "good enough" isn't the standard. * Are legally based in the USA and open to occasional travel for in-person collaboration.

Job Description

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](https://www.coinbase.com/mission) 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.

We are looking for a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. The team builds the foundational components for feature engineering and training/serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains. You will get the opportunity to apply your engineering skills across all aspects of building ML at scale: stream processing, distributed training, and highly available online services.

What you’ll be doing (ie. job duties):

• 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.

• 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.

• 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).

Pay Transparency Notice:Depending on your work location, the target annual basesalary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):
$186,065—$225,000 USD

Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.

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