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Staff Machine Learning Engineer - AI / ML Risk Platform

Staff Machine Learning Engineer - AI / ML Risk Platform

CoinbaseHonolulu, HI, United States
12 hours ago
Job type
  • Full-time
Job description

Overview

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

We’re seeking a candidate who is passionate about our mission and believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark, thrives under pressure, and actively seeks feedback to keep leveling up. Our work culture is intense and isn’t for everyone. If you want to build the future alongside others who excel in their disciplines, this is a place to be.

While many roles at Coinbase are remote-first, in-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams include Product Foundations (Identity, Payment, Risk, Proofing & Regulatory, Finhub), AI Platform, Core Automation, and Infrastructure. The AI Platform Team focuses on building centralized AI infrastructure and acceleration solutions that drive productivity, innovation, and customer impact across Coinbase.

As a Machine Learning Engineer on the AI Platform Team, you will play a pivotal role in transforming our capabilities by leveraging cutting-edge AI models, frameworks, and tools, as well as diverse data sources including blockchain data. Your work will focus on lowering barriers to cryptocurrency adoption while shaping the future of AI-powered interactions, including improving recommendations, chatbots, and other intelligent features to enhance product usability.

Responsibilities

  • Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks to solve complex challenges across the organization.
  • Collaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.
  • Drive project execution by managing priorities, deadlines, and deliverables, leveraging technical expertise.
  • Develop high-quality, well-tested Python code to address critical product and business needs.
  • Design scalable, secure systems using state-of-the-art AI / ML technologies and industry best practices.
  • Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
  • Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
  • Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.

Qualifications

  • 10+ years of experience in machine learning and software engineering.
  • Proven expertise in designing, building, scaling, and maintaining production services with a focus on data processing, machine learning, and analytics.
  • Hands-on experience with at least one ML model type, such as LLMs, GNNs, deep learning, logistic regression, or gradient boosting trees.
  • Proficiency in data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
  • Ability to write high-quality, well-tested code that effectively addresses customer needs.
  • Experience mentoring and developing junior engineers by implementing processes and setting a high standard for excellence.
  • Passion for building an open financial system that connects the world.
  • Exceptional written and verbal communication skills with a commitment to open and transparent cultural practices.
  • Nice to have

  • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
  • Proficiency with GenAI frameworks / tools and technologies such as Apache Airflow, Spark, Flink, Kafka / Kinesis, Snowflake, and Databricks.
  • Familiarity with model interpretability and responsible AI practices.
  • Expertise in data analysis and visualization.
  • Job ID : GPML06US

    Pay Transparency Notice : Depending on your work location, the target annual salary for this position can range as detailed below. Full-time offers also include target bonus, target equity, and benefits (including medical, dental, vision and 401(k)).

    Pay Range :

    $218,025—$256,500 USD

    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.

    Commitment to Equal Opportunity

    Coinbase is proud to be an Equal Opportunity Employer. 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 qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Employee Rights and Know Your Rights notices by clicking on their corresponding links. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.

    Coinbase is 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. For accessibility, you can download a screen reader here.

    Global Data Privacy Notice for Job Candidates and Applicants : Depending on location, GDPR and CCPA may regulate data management of job applicants. Our full notice is available here. By submitting your application, you consent to data processing as required. For US applicants, submitting your application constitutes agreement to arbitration of disputes as outlined here.

    AI Disclosure : For select roles, Coinbase is piloting an AI tool for initial screening interviews. The tool may involve a voice recording or transcript reviewed by a human recruiter. For select roles, Coinbase is piloting an AI interview intelligence platform to transcribe and summarize interview notes. The pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment. To request accommodations due to disability, contact accommodations[at]coinbase.com.

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    Staff Machine Learning Engineer • Honolulu, HI, United States

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