Machine Learning Engineer Intern
Coinbase
Machine Learning Engineer Intern
Job Description
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
Required Qualifications
- Currently pursuing a Ph.D. with research 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
Preferred Qualifications
- 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
Required Skills
- Machine learning research
- Software engineering
- Tensorflow
- PyTorch
- Supervised learning
- Unsupervised learning
- Adaptability to new technologies
Salary Range
$124800 - $124800 USD
Locations
- San Francisco, CA, United States, San Francisco, CA, United States
Salary
124,800 - 124,800 USD / yearly
Skills Required
- Machine learning researchintermediate
- Software engineeringintermediate
- Tensorflowintermediate
- PyTorchintermediate
- Supervised learningintermediate
- Unsupervised learningintermediate
- Adaptability to new technologiesintermediate
Required Qualifications
- Currently pursuing a Ph.D. with research experience in machine learning (experience)
- Solid software engineering skills (experience)
- Experience with coding on ML platforms (e.g., Tensorflow, PyTorch) (experience)
- Experience with basic ML techniques (e.g., supervised and unsupervised learning) (experience)
- Willingness to learn and adapt to new technologies and challenges (experience)
Preferred Qualifications
- 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 (experience)
- Interest in DNNs, GANS, GNNs and Time Series modeling (experience)
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
Tags & Categories
Machine Learning Engineer Intern
Coinbase
Machine Learning Engineer Intern
Job Description
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
Required Qualifications
- Currently pursuing a Ph.D. with research 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
Preferred Qualifications
- 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
Required Skills
- Machine learning research
- Software engineering
- Tensorflow
- PyTorch
- Supervised learning
- Unsupervised learning
- Adaptability to new technologies
Salary Range
$124800 - $124800 USD
Locations
- San Francisco, CA, United States, San Francisco, CA, United States
Salary
124,800 - 124,800 USD / yearly
Skills Required
- Machine learning researchintermediate
- Software engineeringintermediate
- Tensorflowintermediate
- PyTorchintermediate
- Supervised learningintermediate
- Unsupervised learningintermediate
- Adaptability to new technologiesintermediate
Required Qualifications
- Currently pursuing a Ph.D. with research experience in machine learning (experience)
- Solid software engineering skills (experience)
- Experience with coding on ML platforms (e.g., Tensorflow, PyTorch) (experience)
- Experience with basic ML techniques (e.g., supervised and unsupervised learning) (experience)
- Willingness to learn and adapt to new technologies and challenges (experience)
Preferred Qualifications
- 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 (experience)
- Interest in DNNs, GANS, GNNs and Time Series modeling (experience)
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
Tags & Categories