
Senior Deep Learning Researcher, Speech
4 semanas atrás
**Our ASR models already outperform companies like Google, AWS, and Microsoft** - which is why hundreds of companies and thousands of developers are using our APIs to transcribe and understand millions of videos, podcasts, phone calls, and zoom meetings every day. Our APIs power innovative products like conversational intelligence platforms, zoom meeting summarizers, content moderation, and automatic closed captioning.
AssemblyAI's Speech-to-Text APIs are already trusted by Fortune 500s, startups, and thousands of developers around the world, with **well-known customers including Spotify, Algolia, Dow Jones, Happy Scribe, BBC, The Wall Street Journal, and NBCUniversal. **As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in speech recognition and NLP.
**We're growing at breakneck speed, and recently announced our Series B round. We've raised $63M in total funding, **and are backed by leading investors including Insight Partners, Accel, Y Combinator, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber & SpaceX)
Our ambition is to build an iconic AI company, making advanced deep learning technology accessible to everyday developers through a simple API, good docs, and a great developer experience.
**Join our world-class, remote team and help us build an iconic deep learning company**
**The Role**:
AssemblyAI is growing quickly, and we're searching for a Deep Learning Researcher to join our team. With significant investment and strong leadership to fuel our growth, it's the perfect time to join the AssemblyAI team
In this role you'll have the opportunity to:
- **Continually push the state of the art in speech recognition and NLP.** You will conduct cutting edge deep learning research in speech and NLP. Our ASR models already outperform companies like Google, AWS, and Microsoft - and we're looking for the best deep learning engineers and researchers to help us continually push the state of the art in speech recognition to get to human level performance.
- **Research & train AssemblyAI's deep learning models. **You will work with large scale data sets to research and train deep learning models for speech recognition. You will research and develop novel algorithms and techniques to advance the state of the art in natural language understanding. You will conduct research and experiments in order to improve accuracy of our Deep Learning ASR pipeline. You will also dig into weaknesses and failure points of our current ASR models in order to identify further areas for improvement.
- **Be part of a world-class team of creative researchers & engineers. **You will help strengthen the position of AssemblyAI as a leading company in AI research. Our deep learning team is a tight knit group of creative researchers and engineers, who are not afraid to try unconventional ideas. You will also work with the broader speech recognition team as we continually strive to match human level accuracy.
**Requirements**:
- 3+ years of professional experience in Deep Learning research & development
- 2+ years of experience with PyTorch or TensorFlow
- In-depth experience with Asynchronous (async) speech recognition
- Wav2Letter++, Wav2vec, CTC, RNNTs, and/or LAS
- Track record of publications at Speech Processing/NLP conferences (ACL, EMNLP, ICASSP, INTERSPEECH, ICLR, NeurIPS, and others)
**Preferred Experience (any of the following)**:
- PhD in computer science, machine learning, or similar field
- Experience with Google JAX
- Experience with Reinforcement Learning
- Experience training large models on multiple GPUs
- Speaker diarization
- Multilingual speech recognition
- Real-time speech recognition
**Skills**:
- Detail-oriented, analytical, and creative problem solver with a passion for quality processes
- Ability to work independently, raise issues and take corrective action
- A keen eye for detail
**Salary Range: $175,000 - $275,000 USD per year**:
**Our Team**:
**Our team is made up of problem solvers, innovators and top AI researchers with over 20+ years of experience in Machine Learning, NLP, and Speech Recognition from companies like DeepMind, Google Brain, Meta, Apple and Amazon. **They conduct cutting edge deep learning research and develop novel algorithms & techniques to continually push the state of the art in speech recognition & NLP
Our team is fully remote, and our culture is super collaborative, low-ego, transparent, and fast-paced. We want to win - and have a flat organization where everyone can openly share ideas (regardless of their title or position) in order to get the best idea.
As a remote company, our team members are given a lot of trust and autonomy to work where and how
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