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Reka

Develops and deploys large AI models

Member of Technical Staff - GPU Performance Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Strong engineering skills with fluency in Python and PyTorch or other frameworks.
  • Proven experience implementing and training large deep learning models.
  • Experience writing and debugging low-level GPU code using CUDA and C++.
  • Experience scaling GPU jobs using large-scale compute clusters such as Slurm or Kubernetes.
  • Demonstrated ability to analyze and optimize GPU-accelerated workloads through profiling, bottleneck identification, and performance tuning techniques.

Responsibilities

  • Design and implement improvements to the training infrastructure.
  • Directly contribute to technical decisions that optimize model performance.
  • Work on post-training processes, including reinforcement learning and fine-tuning.
  • Improve the efficiency and scalability of the model serving infrastructure.

About the Company

Reka

Develops and deploys large AI models

Reka.ai develops and delivers AI solutions built on large deep learning models, handling the full development cycle from data preparation and architecture design to training, evaluation, and deployment, with a focus on data synthesis. Its offerings are bespoke to client needs, delivered through project-based work or subscriptions that grant ongoing access and support. The team blends researchers with former DeepMind personnel, providing an end-to-end pipeline and advisory input from both industry and academia. The goal is to make the benefits of large AI models globally accessible by delivering practical deployed solutions and ongoing assistance.

Company size
51-200
Company stage
Late Stage VC
Total funding
$168M
Headquarters
Sunnyvale, CA
Founded
2022

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