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Reka

Develops and deploys large AI models

Member of Technical Staff - Applied AI

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

About the Job

Requirements

  • Experience working as a machine learning engineer.
  • Experience working with transformer models and large language models.
  • Ability to communicate and work effectively with cross-functional teams.
  • Ability to own problems end-to-end and learn new knowledge to complete the work.

Responsibilities

  • Productionize frontier artificial intelligence models to solve complex real-world problems.
  • Collaborate closely with researchers and other teammates on the latest advancements in artificial intelligence and machine learning.
  • Work closely with customers to integrate models into their technology stack.
  • Make direct business impact with a high level of product ownership.
  • Serve as a founding member of a fast-growing team and perform a broad range of responsibilities.

Desired Qualifications

  • Experience as a machine learning engineer, ideally working on artificial intelligence products for external customers.
  • Background as a technical founder or in a similar capacity.
  • Practical experience working with transformer models and large language models.
  • An exceptional ability to communicate and work effectively with cross-functional teams.
  • Track records of owning problems end-to-end, and can learn fast and pick up new knowledge to get the job done.
  • A kind and collaborative nature and work style.

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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