At Coinbase, our mission is to increase economic freedom in the world by building the emerging onchain platform and with it, the future global financial system.
Requirements
- PhD (preferred) or MS in Computer Science or other Engineering discipline
- 10+ years of working experience in machine learning and software engineering
- At least 5 years of ML/engineering management experience, with ideally 2 years of experience managing through others.
- Experience in leading multiple ML teams
- Experience in latest ML techniques (e.g. supervised and unsupervised learning, deep neural nets, reinforcement learning, transformers)
- Experience in coding on ML platforms (e.g. SKLearn, XGBoost, Tensorflow, pytorch)
- Ability to hire top performing engineering talent
Responsibilities
- Lead Machine Learning teams, such as the Risk Team.
- Guide the output of a team of 25+ ML engineers and work with product partners to identify and solve new use cases for ML on blockchain.
- Collaborate with scientists, engineers, designers, product managers and senior leadership to turn our vision into a tangible roadmap every quarter.
- Collaborate with Product and Engineering to break down complex projects into smaller pieces and iterate on their design and implementation.
- Be a thoughtful technical voice and support your team in making diligent architectural decisions.
- Contribute to owning and delivering processes that drive engineering quality and meet our engineering SLAs.
- Work with our talent organization to source and hire amazing engineers who will expand the Coinbase culture and product.
Other
- Strong communication skills (both verbal and written) is necessary.
- Execution focused with an ability to navigate ambiguity.
- Previous experience in FinTech (nice to have)
- Previous experience with Fraud/Risk/Compliance problems (nice to have)
- Commitment to Equal Opportunity and providing reasonable accommodations to individuals with disabilities.
