Staff Software Engineer

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 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.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.

As a Staff Machine Learning Platform Engineer at Coinbase, you will play a pivotal role in building an open financial system. The team builds the foundational components for training and serving ML models at Coinbase. Our platform is used to combat fraud, personalize user experiences, and to analyze blockchains. We are a lean team, so you will get the opportunity to apply your software engineering skills across all aspects of building ML at scale, including 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.

What we look for in you (ie. job requirements):

- 10+ 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.

Nice to Have:

- 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).

Job #: GPBE06IN

*Answers to crypto-related questions may be used to evaluate your onchain experience

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.

Commitment to Equal Opportunity

Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here. Additionally, Coinbase participates in the E-Verify programin certain locations, as required by law.

Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

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