Coinbase - Machine Learning Engineer Intern
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Requirements
• Experience with coding on ML platforms (e.g., Tensorflow, PyTorch) • Experience with basic ML techniques (e.g., supervised and unsupervised learning) • Willingness to learn and adapt to new technologies and challenges • Currently pursuing a Ph.D. with research experience in machine learning • Crypto-forward experience, including familiarity with on-chain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services • Interest in DNNs, GANS, GNNs and Time Series modeling • Job #: GETR00ML26 • Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below. • 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
Responsibilities
• Hands-on develop, deploy, and operate Machine Learning models and pipelines at scale • Drive research project on applying cutting edge ML technology to solve real world problems • 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): • Currently pursuing a Bachelor’s or Master’s degree in a relevant field with experience in machine learning • Solid software engineering skills • Experience with coding on ML platforms (e.g., Tensorflow, PyTorch) • Experience with basic ML techniques (e.g., supervised and unsupervised learning) • Willingness to learn and adapt to new technologies and challenges
Benefits
• Medical Plan, Dental and Vision Plan with generous employee contributions • Health Savings Account with company contributions each pay period • Disability and Life Insurance • 401(k) plan with company match • Wellness Stipend • Mobile/Internet Reimbursement • Volunteer Time Off • Fertility Counseling and Benefits • Generous Time off/Leave Policy • The option of getting paid in digital currency
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