Senior Machine Learning Engineer
4 weeks ago
Syntegra has developed a state-of-the-art method to generate patient-level synthetic dataset for healthcare applications. By utilizing transformer models (like GPT-2 and GPT-3), our synthetic data engine enables us to create realistic equivalents of any healthcare dataset that accurately preserves the analytic characteristics of the original, while maintaining privacy.
We are looking for a senior MLE to help develop our state-of-the-art synthetic data engine for healthcare data. As a Senior 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 models, as well as related software frameworks like Pytorch and Tensorflow.
Responsibilities of Machine Learning Engineer
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.
Syntegra focuses on Health Care Information Technology. Their company has offices in San Francisco. They have a small team that's between 1-10 employees.
You can view their website at or find them on Twitter and LinkedIn.
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