Founding ML Eng – NLP & Audio Analysis – Braintrust
Dev Ops & SysAdminBookmark Details
Braintrust (201-500 Employees, 255% 2 Yr Employee Growth Rate)
88% 1-Year Employee Growth Rate | 255% 2-Year Employee Growth Rate | LinkedIn | $5M Venture Funding
What Is Employee Growth Rate & Why Is It Important?
Braintrust is the first decentralized Web3 talent network that connects skilled, vetted knowledge workers with the world’s leading companies. The community that relies on Braintrust to find work are the same people who own and build it, ensuring the network always serves the needs of its users, instead of a centrally-controlled corporation. And because the community of knowledge workers and contributors earns ownership and control of Braintrust through its native BTRST token for their contributions to the network and its growth, new Talent and jobs have participated in the network at record speeds.
Braintrust has over 700,000+ community members, with knowledge workers and project contributors across the world. Braintrust is trusted by hundreds of Fortune 1000 global enterprises including Nestlé, Porsche, Atlassian, Goldman Sachs, and Nike. For more information, visit: www.braintrust.com.
BTRST is available on Coinbase.com and in the Coinbase Android and iOS apps. Coinbase customers can trade, send, receive, or store BTRST in most Coinbase-supported regions. For more information on Braintrust and the BTRST token, read the “Braintrust: The Decentralized Talent Network” whitepaper.
Job Description
- 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 )- PostgresqlFull–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!