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Coinbase

Machine Learning Engineer - (Platform)

Reposted 11 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
154K-154K Annually
Junior
Remote
Hiring Remotely in Canada
154K-154K Annually
Junior
Develop and operate machine learning models and pipelines, collaborate with engineers to solve ML use cases in blockchain, and adapt to new technologies.
The summary above was generated by AI

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're hiring Machine Learning Engineers 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 (ie. job duties):

  • Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale
  • Contribute to our ML models and work at the intersection of Blockchain and AI technologies
  • Work with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain 

What we look for in you (ie. job requirements):

  • 2+ yrs of industry experience as a Machine Learning Engineer
  • M.S in ML/CS/EE or BS with equivalent ML experience
  • Solid software engineering skills
  • Solid foundation in modern ML techniques (e.g., DNNs, transformers, LLMs, classification)
  • Experience with coding on ML platforms (e.g., Tensorflow, PyTorch)
  • Willingness to learn and adapt to new technologies and challenges

Nice to Have:

  • Knowledge of crypto/blockchain technology

Job ID: GPML04US

#LI-Remote

For this role, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants.  The AI tool simulates realistic interview scenarios and engages in dynamic conversation.  This pilot is for testing purposes and Coinbase will not use any AI generated score to make an employment decision.  Your interview responses, in the form of a voice recording and/or transcript will be assessed in terms of the job qualifications and characteristics listed in the position description above by a human recruiter, who will render a decision for each candidate.

This interview tool will enable us to give a greater number of candidates an initial interview who meet our mandatory hiring criteria.  To request a reasonable accommodation due to a qualified disability, please contact [email protected].

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).

Pay Range:

$154,000$154,000 CAD

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 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. 

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.  For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).

Global Data Privacy Notice for Job Candidates and Applicants

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 here. 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 here.    


Top Skills

Blockchain
Genai
Machine Learning
PyTorch
TensorFlow

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