AssemblyAI is the #1 rated API for Speech Recognition. Thousands of developers use our APIs to transcribe millions of videos, podcasts, phone calls, and zoom meetings every day - powering innovative products like visual voicemail, meeting summarizers, and closed captioning.

We're backed by leading investors including Y Combinator, John and Patrick Collison of Stripe, Daniel Gross, and Nat Friedman. We were founded in 2017.

Skills: C++, Machine learning, Torch/PyTorch, ML, Python, GPU Programming, TensorFlow, Machine Learning, Deep Learning, CUDA

About us

AssemblyAI is the #1 rated API for speech recognition. Thousands of developers use our APIs to transcribe millions of videos, podcasts, phone calls, and zoom meetings every day - powering innovative products like visual voicemail, meeting summarizers, and closed captioning.

We're backed by leading investors including Y Combinator, John and Patrick Collison of Stripe, Daniel Gross, and Nat Friedman. We were founded in 2017.

Responsibilities

Our ASR models outperform big tech companies like Google, AWS, and Microsoft. That being said, there's still a lot of work to do to match human level accuracy. Our Deep Learning team is a tight knit group of creative researchers and engineers, who are not afraid to try unconventional ideas. In this role, you'll:

• Work with large scale datasets to research and train Deep Learning models for Speech Recognition
• Conduct research and experiments in order to improve accuracy of Deep Learning ASR pipelines like CTC, LAS and RNN-Ts
• Dig into weaknesses and failure points of our current ASR models, in order to identify further areas for improvement
• Work with the broader Speech Recognition team to publish papers on novel findings
• Continually push the State of the Art in Speech Recognition to get to human level performance

Qualifications

• 2 - 3 years of experience in Deep Learning research & development
• 2+ years experience with PyTorch or TensorFlow
• Experience training large models on multiple GPUs

Nice to Have

• Experience with ASR (can be experience from a PhD, Masters, or work experience)
• Experience with fully Deep Learning based ASR systems (CTC, RNNT, Wav2Letter)

Apply

If you're interested in this role, please fill out the application form here: https://tinyurl.com/2m9w4a25

Benefits

• Competitive Salary
• Equity
• 100% Remote team
• Unlimited PTO
• Premium Healthcare (100% Covered)
• Dental Care
• $1K budget for your home office setup
• New Macbook Pro (or PC if you prefer)
• 3-4x/year company paid team retreats

All of our Deep Learning models are trained in PyTorch on extremely large in-house datasets, across dozens of v100s, in our dedicated training clusters. For our production stack, we deploy everything into a modern Python micro-service architecture in AWS (Flask, Tornado, Docker, etc).