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Machine Learning Engineer - Risk AI/ML Specialist
Coinbase
- United States
- United States
Über
Machine Learning Engineer . This role is crucial in developing advanced models that safeguard our customers and uphold Coinbase as the most trusted platform in crypto. Your contributions will be instrumental in preventing fraud, account takeovers, and scams while enabling features like instant guest checkout and Coinbase Cards. Your Responsibilities: Model Development:
Take ownership of the complete development cycle of machine learning models, from ideation to production, using our centralized self-service platform.
Core Model Enhancement:
Collaborate in a focused team to improve our fundamental models, including Scam Models, Transaction Risk Models, Withdrawal Limit Models, and Account Takeover Models.
Threat Response:
Quickly react to new threat intelligence to create, train, and deploy enduring ML models, achieving deployment timelines of under one week.
Scalable Model Deployment:
Develop high-performance, production-grade AI/ML models and pipelines that facilitate real-time predictions using our automated CI/CD processes.
Advanced Machine Learning Applications:
Utilize contemporary methodologies, such as deep learning, NLP, Graph Neural Networks (GNNs), sequence modeling, and LLMs, to address complex challenges specific to crypto.
Context-Aware Risk Systems:
Contribute to building adaptive logic that tailors user experiences based on individual risk profiles while maintaining security.
Collaboration and Execution:
Work alongside teams from Risk Operations, Platform Engineering, and Product Management to convert new threats into automated defenses.
What We Value in You: 2+ years of experience in software engineering and/or AI/ML, particularly with deploying AI/ML systems in production environments.
A strong dedication to building an open financial system and a profound desire to protect users from fraud and scams, embodying our core values: fostering positive energy, clear communication, curiosity, and a builder mindset.
Familiar with applied AI/ML techniques such as Risk ML, deep learning, NLP, recommender systems, and anomaly detection.
Proficient in programming languages such as Python, with experience in AI/ML frameworks (e.g., TensorFlow, PyTorch), and backend development focused on data processing or analytics is advantageous.
Strong ability to collaboratively engage in technical initiatives and contribute to meaningful AI/ML solutions.
Excellent communication skills, capable of articulating technical concepts to diverse audiences.
Preferred Qualifications: Bachelor’s degree in Computer Science, AI/ML, Data Science, or a related field.
Familiarity with modern AI/ML and data infrastructures such as Feature Stores, Model Serving, Apache Airflow, Spark, and Kafka.
Experience with Graph Neural Networks (GNNs) or Sequential Models (like LSTMs).
Knowledge of LLMs (NLP, fine-tuning, agentic systems) or Reinforcement Learning.
Understanding MLOps best practices for monitoring and enhancing production models.
Experience in data analysis and visualization tools.
Job ID:
GP-RPMLE04US-Q126 Pay Transparency Notice:
Depending on your work location, the target annual base salary for this position can range as shown: $161,500-$190,000 USD. Full-time offers from Coinbase also include bonus eligibility, equity options, and comprehensive benefits. Please apply thoughtfully, as each candidate can submit a maximum of four applications within a 30-day period. Commitment to Equal Opportunity:
Coinbase is an Equal Opportunity Employer. All qualified applicants will be considered for employment without discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, sex, sexual orientation, or any other protected status under local, state, or federal law. We also ensure reasonable accommodations for individuals with disabilities as needed during the employment process. Please contact us at accommodations@coinbase.com should you require assistance.
Sprachkenntnisse
- English
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