AssemblyAI

Senior Research Engineer, NLP Modeling


Remote - London, England, …



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Job's description


AssemblyAI is an AI company - we build powerful models to transcribe and understand audio data, exposed through simple APIs.

Hundreds of companies, and thousands of developers, use our APIs to both 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.

We’ve been growing at breakneck speed, and are backed by leading investors including Y Combinator’s AI Fund, Patrick and John Collision (Founders of Stripe), Nat Friedman (Former CEO of GitHub), and Daniel Gross (Entrepreneur & Investor in companies including GitHub, Uber, Coinbase, SpaceX, Instacart, Notion, and Cruise Automation).

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, 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.

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 Research engineer specializing in NLP Modeling to join our NLP 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:

  • Replicate state-of-the-art Deep Learning models based on conference/journal publications
  • Drive best practices for the team in terms of model optimization and maximizing accelerator utilization
  • Stay up to date on model innovations related to Natural Language Understanding such as Transformer variants (sparse, linear, LSH attention) and new architectures (S4)
  • Act as a bridge between research and engineering to ensure our models perform well in a production environment

Our Team:

We are a fully remote team made up of problem solvers, innovators and top AI researchers with 20+ years of experience in Machine Learning, Speech Recognition, and NLP from places like DeepMind, Google, Meta, Amazon, Apple, and Cisco. 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 they want. We look for people to join our team who are ambitious, curious, and self-motivated, and we put a lot of trust and autonomy into everyone on our team. We want to empower everyone to do their best work with whatever tools, structures, or resources they need to perform at their highest potential.

Requirements

  • 3+ years of non-internship professional software development experience in developing and debugging C/C++ or Python
  • 2+ years of experience coding neural network models using primitives (matmul, einsum, relu, softmax, etc.) offered by modern Deep Learning frameworks such as PyTorch, Jax, or TensorFlow
  • Knowledge of professional software engineering best practices
  • Excellent written and oral communication skills in English
  • BSc or MSc Degree in Computer Science, Electrical Engineering, or other technical field

Preferred Qualifications:

  • 2+ years of experience in optimization engineering related to machine learning or computational science
  • Solid knowledge of data structures and algorithms

Benefits

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




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