Member of Technical Staff (ML)

Reka

• $135K — $160K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Reposted Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Experience with training and evaluating large deep learning models.
  • Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX).
  • Proven track record of implementing machine learning algorithms at scale.
  • Ability to work effectively in a fast-paced, uncertain environment.
  • Collaborative and kind work style.

Responsibilities

  • Contribute to the entire development cycle of large deep learning models.
  • Prepare datasets and design model architectures.
  • Implement solutions for training and evaluating models.
  • Collaborate closely with engineers and researchers for practical application of research.
  • Participate in building projects from the ground up.

Benefits

  • 5 weeks of paid leave to recharge.
  • Comprehensive healthcare benefits including vision and dental.
  • Visa support for H1B and OPT transfers.
  • An inclusive and open work environment that values diverse perspectives.
  • Opportunity to collaborate with top-tier professionals in AI from renowned organizations.
Full Job Description
As a Member of Technical Staff on Machine Learning, you will:
  • Contribute to the entire development cycle of our cutting-edge large deep learning models.
  • Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products.
  • Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.
  • Join us at an exciting moment, wear many hats and help us build something from the ground up!


You may be a good fit, if you have:
  • Experience with training and evaluating large deep learning models.
  • Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX).
  • Proven track record of applying and implementing machine learning algorithms into software applications at scale.
  • The ability to build in a fast-paced environment under some uncertainty.
  • A kind and collaborative nature and work style.


* Ladders Estimates

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