Head of Data
Moonvalley
Distributed Systems
Engineering Manager, Machine Learning Platform
Coinbase
full-time
Posted on:
Location Type: Hybrid
Location: 🇨🇦 Canada, 🇺🇸 United States
Visit company websiteSalary
💰 $218,025 - $256,500 per year
Job Level
SeniorLead
Tech Stack
Distributed Systems
About the role
- Lead a team of engineers to build the next generation of the Machine Learning Platform
- Build foundational components for feature engineering and training/serving ML models used for fraud detection, personalization, and blockchain analysis
- Form deep understanding of ML engineers’ needs and identify capabilities and gaps
- Collaborate with engineers, designers, product managers, and senior leadership to create quarterly roadmaps and break down complex projects
- Coach reports to improve software quality and engineering skills
- Work with talent org to recruit engineers aligned with Coinbase culture
- Maintain high-availability and low-latency for critical ML systems
- Collaborate across the industry and act as a thought leader in MLOps
Requirements
- 7+ yrs of industry experience as a Software Engineer
- At least 2 years managing a team of engineers
- Deep understanding of distributed systems
- Great sense of design and ability to bring clarity to complex technical requirements
- Treat other engineers as a customer with obsessive focus on delivering a seamless experience
- Execution-focused mindset, capable of navigating through ambiguity and delivering results
- Mastery of fundamentals across varied technologies
- Ability to be hands-on: write/review code, participate in on-call rotations, lead incidents, triage/troubleshoot bugs
- Passion for Coinbase mission and belief in crypto and blockchain technology
- In-person participation required throughout the year (offsites and onsite collaboration)
Benefits
- target bonus
- target equity
- medical
- dental
- vision
- team and company-wide offsites (attendance supported)
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine Learningfeature engineeringML model trainingML model servingdistributed systemssoftware qualitycode reviewbug triageMLOps
Soft skills
leadershipcoachingcollaborationexecution-focused mindsetcustomer-centric approachproblem-solvingcommunicationdesign claritynavigating ambiguity
