Engineering Manager, Platform - Machine Learning (Gen AI)

USD 140,000-210,000 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 4 Machine Learning @ 4 Leadership @ 4 Communication @ 4 MongoDB @ 4 Engineering Management @ 4 LLM @ 4

Details

At Coinbase, our mission is to increase economic freedom in the world by building the emerging onchain platform and the future global financial system. We seek a candidate passionate about crypto and blockchain technology, eager to solve complex problems and thrive in an intense work culture that demands excellence.

Responsibilities

  • Hands-on architecture and development of platform for all LLM use-cases at Coinbase while leading a team of individual contributors.
  • Provide technical structure and define strategic roadmaps with management and stakeholders.
  • Manage project priorities, deadlines, and deliverables using technical expertise.
  • Understand Machine Learning Engineers’ needs, capabilities, and gaps.
  • Mentor junior engineers to enhance their software engineering skills.
  • Raise engineering standards to ensure high-availability and low-latency ML inference infrastructure for predictive ML models and LLMs.
  • Optimize low latency streaming pipelines to supply fresh, high-quality data for ML models.
  • Evangelize best practices for building high-performance distributed training jobs processing large data volumes.
  • Build tools to monitor data quality for models and detect performance degradations.

Requirements

  • 10+ years of software engineering experience.
  • Minimum 2 years engineering management experience.
  • Proven experience designing, building, and scaling production applications with hands-on leadership.
  • Experience uplifting junior engineers and fostering high-quality code and engineering processes.
  • Strong empathy for customer stakeholders.
  • Passion for building an open financial system.
  • Excellent communication skills and commitment to transparent culture.

Nice to Haves

  • Experience with rapid company growth phases (startup to mid-size).
  • Experience with Golang, Docker, Postgres, MongoDB, or DynamoDB.
  • Background working with AI or LLM models.

Benefits

  • Medical insurance including dental and vision for employees and dependents.
  • Group personal accidental and term life insurance.
  • Employee stock purchase plan.
  • Wellness, mobile/internet, and connections stipends.
  • Learning and development allowance.
  • Employee assistance program.
  • Global travel medical policy.
  • Fertility benefits.
  • Generous time off/leave policy.

Note: Role requires some in-person participation and attendance at company offsites throughout the year.