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Machine Learning Engineer

San Francisco, CA based or remote (US only)

Job Overview

We are looking for a senior MLE to help develop our state-of-the-art generative AI synthetic healthcare data engine.

As a MLE you will be responsible for building, training, testing, and debugging advanced Deep Learning Models. The ideal candidate will be an expert in deep learning, generative modeling, NLP and transformer-based language models, as well as related software frameworks like Pytorch and Tensorflow.

Responsibilities of Machine Learning Engineer

  • Design, build and maintain advanced transformer-based language models generative AI system for healthcare data
  • Research and implement appropriate deep learning algorithms and tools
  • Implement advanced approaches to increase efficiency of training and lower latency of inference

Requirements and Skills

  • Expert level knowledge and experience with state of the art deep learning transformer language models.
  • Strong coding skills in Python, and general understanding of software engineering best practices.
  • Comfortable creating new deep learning models, training from scratch, debugging and evaluating them.
  • Works well in a team¬†
  • Excellent communication skills

To submit an application, please send your resume to careers@syntegra.io with the name of the job listing in the subject line.