ML Systems Engineer: Large-Scale Models, Remote-First

Jobicy

United States

Remote

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Reka, a globally distributed foundation model startup headquartered in the San Francisco Bay Area with a remote-first approach, is seeking a Member of Technical Staff on Machine Learning. You will contribute to the full development cycle of our cutting-edge large deep learning models.

You will prepare datasets, design architectures, implement solutions, and train and evaluate models to improve our products, collaborating closely with engineers and researchers to translate research into practical

Qualifications

  • Experience with training and evaluating large deep learning models.
  • Proficiency in PyTorch and/or JAX.
  • Proven track record of applying ML algorithms at scale in software.
  • Ability to work in a fast-paced environment with some uncertainty.
  • Collaborative and kind work style.

Responsibilities

  • Contribute to the full development cycle of cutting-edge large DL models.
  • Prepare datasets, design architectures, implement solutions, train and evaluate models.
  • Collaborate with engineers and researchers to translate research into practical applications.
  • Join at an exciting moment, wear many hats, help build from the ground up.

Skills

Large DL models
ML frameworks: PyTorch, JAX
ML algorithms at scale
Fast-paced environment
Collaborative work style

Tools

PyTorch
JAX

Job description

Reka, a globally distributed foundation model startup headquartered in the San Francisco Bay Area with a remote-first approach, is seeking a Member of Technical Staff on Machine Learning. You will contribute to the full development cycle of our cutting-edge large deep learning models.

You will prepare datasets, design architectures, implement solutions, and train and evaluate models to improve our products, collaborating closely with engineers and researchers to translate research into practical

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