Machine Learning Engineer

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.