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Code with voice

Machine Learning Engineer

$100k – $150k • 0.1% – 0.8%
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We're looking for machine learning engineers to iterate on our cutting edge ML systems, from our speech-to-code engine to our code prediction and transformation platform. You'll play a critical role in evolving the nascent Serenade product into an essential tool for developers around the world.

Here's a sample of projects you'd be able to work on from day 1:

- Architect transformer-based neural networks to model both code and natural English.
- Apply state of the art speech recognition techniques to our dataset to optimize the accuracy and performance of the product.
- Build on our training pipeline, which includes automatic labeling and seamless backtesting.
- Use semantic parsing techniques to enable deep understanding of user intent.
- Support a wide range of speakers and environments (e.g., noisy backgrounds, speaker identification, and so on).

And, here's a bit more about our ML stack:

- Our speech-to-code engine uses state of the art deep learning served using a containerized, gRPC streaming service written in C++ for maximum performance. We've also developed our own models trained specifically for programming.
- We use AWS services to automate our training pipeline, along with TensorFlow and PyTorch.
- Whenever possible, we contribute back to the open-source community.

Serenade at a glance

Code with voice

Serenade focuses on Developer Tools. Their company has offices in San Francisco. They have a small team that's between 1-10 employees.

You can view their website at https://serenade.ai