
Member of Technical Staff (ML)
Reka
WorldwideFully remoteFull TimeMid Level, SeniorInformation Technology
Posted 3 months ago3mo agoApply link checked 8 hours ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 3 months ago · apply link checked 8 hours ago
About the role
Responsibilities
- Contribute to the entire development cycle of cutting-edge large deep learning models
- Prepare datasets, design architectures, implement solutions, train and evaluate models
- Collaborate closely with engineers and researchers to translate research into practical applications
Requirements
- Experience with training and evaluating large deep learning models
- Proficiency in standard deep learning frameworks such as PyTorch or JAX
- Proven track record of implementing machine learning algorithms into software applications at scale
- Ability to build in a fast-paced environment under uncertainty
Benefits
- 5 weeks of paid leave
- Comprehensive healthcare benefits including vision and dental
- Visa assistance including H1B and OPT transfers for US employees
About the Company
Reka is a globally distributed foundation model startup headquartered in the San Francisco Bay Area. The mission is to build useful multimodal artificial intelligence to empower organizations and businesses.
What we look for
- Experience training large deep learning models
- Proficiency in PyTorch or JAX
- Experience implementing ML algorithms at scale
Machine LearningPyTorchJAX
SponsorWake up to a shortlist, not a search results page.
NeverApply scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
Get your daily matchesSimilar jobsbased on title, category and scope
SponsorWake up to a shortlist, not a search results page.
NeverApply scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
Get your daily matchesMember of Technical Staff (ML)Reka · free account, 30 seconds