Über
Pursue innovative research projects that apply cutting-edge ML technologies to solve real-world problems.
Collaborate with senior engineers and product partners to explore new ML applications within the blockchain ecosystem.
What We Seek: A Ph.D. candidate with hands-on research experience in machine learning.
Strong software engineering prowess.
Proficiency with ML coding platforms (e.g., TensorFlow, PyTorch).
Familiarity with fundamental ML techniques (e.g., supervised and unsupervised learning).
A dedicated commitment to learning and adapting to new technologies and challenges.
Preferred Qualifications: Experience or understanding of the crypto space, including on-chain activities, Ethereum address interactions, ENS usage, and engagement with dApps or blockchain services.
An interest in advanced machine learning techniques such as deep neural networks, GANs, GNNs, and time series modeling.
Job #: GETR00ML26 Pay Transparency Notice:
The target hourly rate for this position is $60 USD, based on your work location. We encourage candidates to apply based on maximum four applications within a 30-day period and suggest you assess how your skills and interests align with opportunities at Coinbase. Equal Opportunity Commitment:
Coinbase is proud to be an Equal Opportunity Employer. All qualified candidates will be considered 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 protected status. We welcome applicants with criminal histories as per applicable law. For candidates requiring accommodation due to a disability during the employment process, please contact us with details of your request. Global Data Privacy Notice for Job Candidates and Applicants:
Depending on your location, applicable laws may govern how we manage job applicant data. By submitting your application, you agree to our data processing practices. AI Disclosure:
For select roles, Coinbase employs an AI tool powered by machine learning for the initial screening of interviews. A human recruiter will review the responses to assess alignment with job qualifications.
Sprachkenntnisse
- English
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