Machine Learning Engineer

(Multiple states)
Full Time

Scaled Cognition is developing a new generation of rational, controllable AI models deployable as domain experts for grounded, real-world applications.


As a Machine Learning Engineer (MLE) at Scaled Cognition you will:

  • Build and maintain the end-to-end infrastructure, pipelines, and tooling for our AI models.
  • Work closely with research scientists and product engineers to enable rapid iteration and experimentation from ideation to production.

Example projects could include:

  • Working with optimization libraries to scale training of large AI models across thousands of GPUs.
  • Refining ML pipelines to 100x existing capacity for constrained pieces such as training data, model size, or compute parallelization.
  • Optimizing data collection and preparation techniques to produce higher quality training datasets.

You might be the right person for the job if you: 

  • Enjoy scaling up models and software processes.
  • Are eager to learn and have an optimistic mindset.
  • Excel in collaborative, cross-functional team settings.

Preferred Qualifications:

  • Experience with relevant frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience with modern machine learning pipelining techniques and platforms.
  • Experience optimizing end to end processes in secure, highly reliable environments.

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