Senior Machine Learning Platform Engineer, Coinbase
Identity
$191.3-225k
More information about location
Digital currency exchange
Open for applications
Digital currency exchange
1001+ employees
Open for applications
$191.3-225k
More information about location
1001+ employees
Company mission
To increase economic freedom for more than 1 billion people.
Role
Who you are
- 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments
- Built and operated low-latency data or ML infrastructure (streaming pipelines, online serving systems, or distributed training) processing data at scale
- Track record of mentoring engineers and raising team engineering quality through code reviews, design reviews, and technical leadership
- Familiarity with ML platform components (feature stores, model serving frameworks, training orchestration) sufficient to partner effectively with ML engineers as a platform builder
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
What the job involves
- As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase
- The platform you build supports fraud detection, user personalization, and blockchain analysis
- You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company
- Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale
- Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models
- Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently
- Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance
- Mentor junior engineers on building production-grade software, raising the team's engineering standards over time
Our take
Coinbase has built a reputation as one of the most accessible entry points into the world of cryptocurrency. With features like crypto wallets, direct bank account linking, and merchant payment tools, it's helping bring crypto into the mainstream. But the company isn't just relying on its early success, it's evolving fast to stay relevant in a rapidly changing market.
For example, its doubled down on institutional clients, now serving as the custodian for the majority of approved Bitcoin and Ethereum ETFs. Its Prime platform also offers a full suite of services for hedge funds, asset managers, and financial institutions. As demand for regulated crypto products rise globally (particularly in Asia), Coinbase is ready to expand.
Its also making moves to engage with younger audiences, by partnering with Riot Games to sponsor global eSports events for League of Legends and Valorant. This partnership highlights Coinbase's strategy to integrate Web 3.0 technologies into mainstream entertainment, aiming to bridge the gap between gaming and cryptocurrency for a new generation of users.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-24% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Oct 2018
$300m
GROWTH EQUITY VC
Aug 2017
$108.1m
SERIES D
Total funding: $528.5m
Leadership
Brian Armstrong
(Co-Founder & CEO)Previously founded UniversityTutor.com, also worked as a Software Engineer at AirBnb
Alessia Haas
(CFO)Previously held various head positions, including VP at GE Healthcare, Director at Merrill Lynch and CFO at CIT Bank and Oz Management
Share this job
View 141 more jobs at Coinbase