Staff Software Engineer, Machine Learning - Recommender Systems
CoinbaseAbout the role
At Coinbase, our mission is to increase economic freedom around the world, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us.
There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a culture like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our mission-focused approach to our work. Finally, we seek people who are excited to learn about and live crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world.
Ready to #LiveCrypto? Who you are:
- You’ve got positive energy. You’re optimistic about the future and determined to get there.
- You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0.
- You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.
- You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.
- You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.
- You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone.
The Coinbase Machine Learning team is committed to developing sophisticated ML models that make our platform more secure, expand usage of Coinbase through personalized recommendations, and improve the user experience for our customers. Our Mission is to keep building scalable, adaptive, blockchain aware ML systems that help our users explore and discover new use cases for Crypto on Coinbase and on the blockchain.
What you’ll be doing (ie. job duties):
- Lead the development of new personalization models for diverse use cases (e.g. asset recommendations, search, and news ranking)
- Maintain the highest standards of model quality, performance, and scalability, while ensuring alignment with business goals
- Mentor and guide the output of other ML Engineers
- Work closely with product partners to identify and solve new use cases for ML
What we look for in you (ie. job requirements):
- MS in Machine Learning (PhD preferred)
- 8+ years of experience (or PhD+5)
- Expert in latest ML techniques (e.g. supervised and unsupervised learning, deep neural nets, reinforcement learning, transformers)
- Expert in coding on ML platforms (e.g. Tensorflow, pytorch)
- Capable of architecting and owning foundational and reusable ML blocks that can accelerate the rest of the team.
Nice to Have:
- Preferred: Domain expertise in RecSys (recommendation systems)
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 Pay Transparency, Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds. Free account required — sign up in 30sApply for this role