talentyGo

Staff Machine Learning Engineer(Platform - Identity)

coinbase

📍 Remote - USA, US🌍 Remote🕐 6 giorni fa
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Descrizione

<div class="content-intro"><p>Ready to do the most impactful work of your career? At&nbsp;<a href="https://www.coinbase.com/?utm_campaign=mt_o_m_w_m_m__coi_0_jd-onchain&amp;utm_source=coinbase">Coinbase</a>, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.”&nbsp;<a href="https://www.coinbase.com/careers">learn more about working at Coinbase</a>.</p></div><h1>Staff Machine Learning Engineer, Identity Verification</h1> <p class="mb-2 whitespace-pre-wrap">As a Staff Machine Learning Engineer on the Identity Verification team within the <a href="https://www.coinbase.com/careers/product-groups" target="_blank">Platform</a> group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts.</p> <p class="mb-2 whitespace-pre-wrap"><strong>What you'll do:</strong></p> <ul> <li>Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N&nbsp;face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement.</li> <li>Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding.</li> <li>Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency.</li> <li>Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users.</li> <li>Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design.</li> </ul> <p class="mb-2 whitespace-pre-wrap"><strong>Required Skills and Experience:</strong></p> <ul> <li>8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production.</li> <li>Domain experience in identity verification, biometrics, or account integrity with deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs.</li> <li>Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure.</li> <li>Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders.</li> <li>Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>Pay Transparency Notice:</strong><strong><em> </em></strong>Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).&nbsp;</p> <p>&nbsp;</p></div><div class="title">Annual base salary range (excluding equity and bonus):</div><div class="pay-range"><span>$218,025</span><span class="divider">&mdash;</span><span>$256,500 USD</span></div></div></div><div class="content-conclusion"><p>Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying.</p> <h3>Commitment to Equal Opportunity</h3> <p>Coinbase is proud to be an Equal Opportunity Employer.&nbsp; All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.&nbsp; For US applicants, you may view the <a href="https://www.dol.gov/sites/dolgov/files/WHD/legacy/files/eppac.pdf">Employee Rights</a> and the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf">Know Your Rights notices</a> by clicking on their corresponding links. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf">E-Verify program</a> in certain locations, as required by law.&nbsp;</p> <p>Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. &nbsp; For quick access to screen reading technology compatible with this site<a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn"> click here to download</a> a free compatible screen reader<a href="http://www.chromevox.com/tutorial/"> (free step by step tutorial can be found here)</a>.</p> <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> <p>Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement">here.</a>&nbsp;&nbsp;&nbsp;&nbsp;</p> <h3>AI Disclosure</h3> <p><em>For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages i
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