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Machine Learning Engineer Platform

TechBrains

Wellesley · On-site Full-time Senior 3d ago

About the role

Position: Staff Machine Learning Engineer - (Platform) Location: Wellesley

Coinbase 27 July 2025 Remote

Remote - Canada

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 passionate candidate who believes in the power of crypto and blockchain technology to transform the financial system. The ideal candidate is eager to leave their mark, thrives under pressure, actively seeks feedback, and is committed to solving complex problems.

Our work culture is intense and not for everyone. But if you want to build the future alongside high-caliber colleagues who excel in their disciplines, Coinbase is the place for you.

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

We are looking for a Staff Machine Learning Engineer to revolutionize how we optimize our operations using ML and GenAI. This role offers a unique opportunity to apply the latest advances in ML to real-world problems impacting millions of users and the future of digital finance.

Our AI teams focus on building intelligent systems that protect our platform while ensuring a seamless experience for legitimate users. We aim to automate traditional tasks like manual document review and risk assessment with scalable, state-of-the-art machine learning solutions.

Responsibilities include: • Define the technical strategy for a portfolio of projects. • Design and implement models to protect Coinbase funds. • Fine-tune LLMs for document processing and risk assessment. • Create real-time ML pipelines to detect and prevent risks proactively. • Collaborate with domain experts to translate knowledge into ML features and models. • Build explainable ML systems that justify risk assessments. • Deploy models at scale with high availability and low latency.

Qualifications: • 10+ years of industry experience in Machine Learning or PhD + 5 years. • Experience with Payment Risk, Credit Risk, or Account Take Over models. • MS in Machine Learning, Computer Science, or related field (PhD preferred). • Strong developer skills, leveraging auto-code generation for scalable applications. • Expertise in modern ML techniques (DNNs, transformers, LLMs, classification). • Experience deploying ML systems at scale. • Ability to balance model complexity with production requirements. • Effective communication skills for working with domain experts.

Nice to have: • Familiarity with financial regulatory requirements. • Knowledge of crypto/blockchain technology.

Compensation: The target annual salary is CAD 217,900, plus bonus, equity, and benefits.

Coinbase is an Equal Opportunity Employer. We consider qualified applicants regardless of race, color, religion, gender, national origin, age, disability, veteran status, or other protected characteristics. We provide accommodations for disabilities and are committed to privacy regulations. How to Apply

Interested? Submit your resume and cover letter through our application portal. #J-18808-Ljbffr

Requirements

  • 10+ years of industry experience in Machine Learning or PhD + 5 years.
  • Experience with Payment Risk, Credit Risk, or Account Take Over models.
  • MS in Machine Learning, Computer Science, or related field (PhD preferred).
  • Strong developer skills, leveraging auto-code generation for scalable applications.
  • Expertise in modern ML techniques (DNNs, transformers, LLMs, classification).
  • Experience deploying ML systems at scale.
  • Ability to balance model complexity with production requirements.
  • Effective communication skills for working with domain experts.

Responsibilities

  • Define the technical strategy for a portfolio of projects.
  • Design and implement models to protect Coinbase funds.
  • Fine-tune LLMs for document processing and risk assessment.
  • Create real-time ML pipelines to detect and prevent risks proactively.
  • Collaborate with domain experts to translate knowledge into ML features and models.
  • Build explainable ML systems that justify risk assessments.
  • Deploy models at scale with high availability and low latency.

Benefits

bonusequitybenefits

Skills

Machine LearningGenAIMLDNNstransformersLLMsclassificationauto-code generationPayment RiskCredit RiskAccount Take Over modelscrypto/blockchain technology

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