Economics jobs in Canada
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BUSINESS ADVISOR, ADVISORY SERVICES - Fraser Valley
BDC
Staff Machine Learning Engineer - (Platform)
Job summary
Omaze is seeking a Staff Machine Learning Engineer to leverage advanced ML and GenAI for optimizing operations affecting millions of users. This role requires innovative problem-solving to enhance the financial system through automation while collaborating with top-tier engineers and data specialists.
Qualifications
- 8+ years of industry experience in Machine Learning (or PhD+5).
- Strong knowledge in modern ML techniques (DNNs, transformers, LLMs).
- Ability to balance ML model complexity with production requirements.
Responsibilities
- Design and implement multi-modal ML models for document processing.
- Build explainable ML systems for risk assessments.
- Create real-time ML pipelines to prevent risks.
Skills
Education
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.
To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.
Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.
We are hiring a Staff Machine Learning Engineer to revolutionize how we optimize our operations using ML and GenAI. This is a unique opportunity to apply the latest advances in ML and GenAI to real-world problems that directly impact millions of users and the future of digital finance.
Our AI teams are dedicated to building intelligent systems that protect our platform while ensuring a seamless experience for legitimate users. We are transforming traditional tasks such as manual document review and risk assessment into an automated, scalable system powered by state-of-the-art machine learning.
What you'll be doing:
- Design and implement multi-modal ML models that can understand and extract information from various document types (IDs, proof of address, etc.)
- Fine tune LLMs for automated document processing and risk assessment.
- Design model for ascertaining user onboarding risk and triggering Know-Your-Customer and Enhance Due Diligence models.
- Create real-time ML pipelines that can detect and prevent risks before they materialize
- Work with experts to translate their domain knowledge into ML features and models
- Build explainable ML systems that can justify their risk assessments
- Collaborate with platform teams to deploy models at scale with high availability and low latency
What we look for in you:
- 8+ years of industry experience in Machine Learning (or PhD+5)
- MS in Machine Learning, Computer Science, other technical field (PhD preferred)
- Strong developer experience with ability to leverage auto-code generation techniques for ML and scalable distributed applications.
- Strong knowledge in modern ML techniques (DNNs, transformers, LLMs, classification)
- Experience building and deploying production ML systems at scale.
- Ability to balance ML model complexity with production requirements
- Strong communication skills to work effectively with domain experts
Nice to have:
- Background in fraud detection or risk modeling
- Familiarity with regulatory requirements in financial services
- Knowledge of crypto/blockchain technology
Job ID: GPML06US
Pay Transparency Notice: The target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, and vision).
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.
Coinbase is committed to diversity in its workforce and 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 for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.