Engineering Manager, Platform - Machine Learning (Gen AI)
at Coinbase
USD 140,000-210,000 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 4 Machine Learning @ 4 Leadership @ 4 Communication @ 4 MongoDB @ 4 Engineering Management @ 4 LLM @ 4Details
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.