Senior Machine Learning Engineer, Risk AI​/ML

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 off‑sites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

We are looking for a Machine Learning Engineer to join our Risk AI/ML team. We are dedicated to building the sophisticated models that protect our customers and make Coinbase the most trusted platform in crypto. Your work will directly prevent fraud, account takeovers, and scams, while enabling future products like instant guest checkout and Coinbase Cards.

This is a hands‑on technical role where you will leverage our cutting‑edge, self‑service ML platform to rapidly design, deploy, and iterate on the models that defend millions of users.

• Own a Critical Risk Domain:
  Take full technical ownership of a core problem space, such as scams or account takeover. Design, build, and lead the strategy for all models in this domain.
• Architect and Design Systems:
  Lead the system design and architecture for new, complex risk detection models. This includes everything from feature pipeline design to model selection and high‑performance serving.
• Drive the Technical
  
  Roadmap:
  
  Work with Product, Ops, and other stakeholders to translate ambiguous business needs into a clear technical roadmap. Be the primary technical voice defining the "how."
• Mentor and Lead:
  Act as a technical leader and mentor for mid‑level and junior engineers on the team. Lead by example through code reviews, design docs, and coaching.
• Apply Advanced ML:
  Apply modern methodologies such as deep learning, NLP, Graph Neural Networks, sequence modeling, and large language models for NLP and conversational agents to solve complex, crypto‑native challenges.
• Build Context‑Aware Risk Systems:
  Architect the adaptive logic that decides which friction (a quiz, an LLM agent, a human review) to apply to which user, balancing security with user experience.

• 6‑8+ years of professional experience in software engineering and/or AI/ML, with experience deploying AI/ML systems into production.
• Proven track record of technical leadership, including designing and deploying large‑scale ML systems from scratch.
• Passion & values: A commitment to building an open financial system and a strong desire to protect users from fraud and scams. Embody core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
• AI/ML knowledge:
  Deep expertise in applied AI/ML techniques such as risk ML, deep learning, NLP, recommender systems, anomaly detection.
• Technical & coding skills:
  Expert‑level coding skills in Python and deep experience with AI/ML frameworks such as Tensor Flow or PyTorch. Experience building backend systems with a focus on data processing or analytics is a plus.
• Team collaboration:
  Ability to work collaboratively on technical initiatives and contribute to impactful AI/ML solutions.
• Communication skills:
  Strong communication skills, with the ability to convey technical concepts to both technical and…