Braintrust
AI

Founding ML Eng - NLP Audio Analysis [Remote]

Braintrust · CA San Francisco, California, United States · $50k - $75k

Actively hiring Posted about 4 years ago
  • JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)
  • LOCATION: Global - Remote (TimeZone: PST/CIST | Partial overlap)
  • HOURLY RANGE: Our client is looking to pay $75 – $100/hr
  • ESTIMATED DURATION: 40hr/week - long-term, ongoing project 

THE OPPORTUNITY

The founding ml engineer, nlp/audio role will be critical to our client's efforts of creating machine-learning models for modern business communication that fuel the intelligent learning experience.

You will need an endless fascination with the most bleeding-edge applications of natural language processing and audio analysis (including digital signal processing). The role will include some MLOps initially (creating new training pipelines and ETL), but the bulk of your focus will be creating, training, and measuring the efficacy of new models.

This role will require a thoughtful approach to building, while thriving on shipping revisions fast so they can get quality feedback from the learners that are using the product and measure the results.

Requirements

Our client's Current Tech Stack/Skills Required:
‍ML Stack:

- Python3 ( Pandas, PyTorch, PySpark, Librosa, Tensorflow, Keras, TFX Pipelines )
- GCP ( Vertex AI, Big Query )
- Postgresql

Full–Stack:
Typescript
React
- Electron
React-native
- Nodejs
- Graphql
- Nestjs
- TypeORM
- Postgresql
- Redis
- Tailwind CSS
- Kubernetes
- Github and GH Actions
- Zoom API
- WebAudio API
- FFMPEG
- GCP ( Run, SQL, Storage, PubSub, BigQuery )
AWS ( Cognito, Amplify, Lambda, ECR, Cloudfront )
- Cloudflare WAF
- Design/PM/Comms Tools: Figma, Webflow, Clickup, Slack w/integrations

 

Apply Now!

 

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Remote React Ai Tensorflow Pytorch Keras Python Kubernetes Aws Gcp
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