Senior Machine Learning Platform Engineer

🕒 September 17

🇺🇸 United States – Remote

💵 $191.3k - $225k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Coinbase

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

💼 Consulting

₿ Crypto

💸 Finance

💰 $21.4M Post-IPO Equity on 2022-11

Consulting • Crypto • Finance

Coinbase is a leading cryptocurrency exchange platform that allows individuals and institutions to buy, sell, and trade various crypto assets such as Bitcoin and Ethereum. The company offers advanced trading tools, institutional solutions, and a self-hosted wallet for storing and managing cryptocurrencies. With a strong focus on security and transparency, Coinbase provides a trusted platform used by millions globally. It supports various features including staking, earning rewards, and spending crypto through their cards. Additionally, Coinbase provides developer tools and APIs for building onchain applications, making it a comprehensive hub for engaging in the crypto economy.

📋 Description

• Build foundational infrastructure for feature engineering, model training, and model serving across Coinbase • Own the design and reliability of ML inference infrastructure for predictive models and LLMs • Maintain high availability and low latency at scale • Build and optimize low-latency streaming pipelines delivering fresh, high-quality feature data to production ML models • Improve distributed training infrastructure for efficient processing of large data volumes • Develop observability tooling to monitor data quality and detect degradations affecting model performance • Mentor junior engineers and raise team engineering standards • Support fraud detection, user personalization, and blockchain analysis

🎯 Requirements

• 5+ years of industry experience as a software engineer • Demonstrated ownership of distributed systems in production environments • Experience building and operating low-latency data or ML infrastructure, including streaming pipelines, online serving systems, or distributed training, at scale • Track record of mentoring engineers and raising engineering quality through code reviews, design reviews, and technical leadership • Familiarity with ML platform components, including feature stores, model serving frameworks, and training orchestration • Responsible use of generative AI with human oversight to deliver business-ready outputs and measurable workflow improvements in efficiency, cost, and quality

🏖️ Benefits

• Equity eligibility • Bonus eligibility • Medical insurance • Dental insurance • Vision insurance • 401(k) • Quarterly in-person working sessions (“surges”) • Reasonable accommodations for individuals with disabilities • Equal opportunity employment protections

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