Staff Machine Learning Engineer – Platform, Identity

🕒 September 17

🇺🇸 United States – Remote

💵 $218k - $256.5k / year

⏰ Full Time

🔴 Lead

🏗️ 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

• Own the full identity-verification ML stack, including document authenticity, 1:1 and 1:N face matching, liveness detection, presentation-attack detection, and deepfake/injection detection • Manage the feature pipeline, threshold tuning, and production enforcement • Build identity-graph systems using GNNs to detect synthetic-identity rings and coordinated fraud during onboarding • Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and real-time device-fingerprint risk scoring • Drive vendor ML strategy by benchmarking external models, designing dynamic routing across providers and geographies, and building an in-house evaluation layer • Lead and mentor senior and mid-level engineers • Partner with ML Platform and Risk ML teams on cross-company ML system design

🎯 Requirements

• 8+ years deploying production ML systems at scale • Proven technical leadership owning cross-team ML architecture from design through production • Domain experience in identity verification, biometrics, or account integrity • Deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs • Expert-level Python • Production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure • Track record translating KYC/AML requirements and fraud trends into ML roadmaps • Ability to communicate trade-offs to Product, Compliance, Risk, and Security stakeholders • Utilizes generative AI responsibly, maintaining human oversight • Role is remote in the USA

🏖️ 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 • Free compatible screen reader and tutorial for applicants needing screen reading technology