Software Engineer, Research

AssemblyAI is a remote-first AI company building powerful deep learning models for developers, startups, and enterprises to transcribe and understand their audio data.

Our Automated Speech Recognition (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 mid-level software engineer to help create and own our Deep Learning research framework. You'll need strong software and cloud engineering skills and experience building maintainable systems. Collaboration skills will be important, as you will collaborate closely with the adjacent Research team and help direct a small team to complete larger projects.

 

Some of your responsibilities will include:

• Help to design our new experiment framework and integrate it with an open source management platform
• Enable researchers to launch many experiments in the cloud across 100s of accelerators by running a single shell script
• Design, implement, and maintain the experiment framework, databases, and documentation that all our researcher depend on everyday to perform research
• Ensure that model code is hermetically packaged so that it can be easily deployed to production
• Ensure that the platform is well tested and resilient to failures, capacity issues, etc.

 

You'll love this job if you....

• Enjoy solving complex technical problems, even when there is no perfect solution
• Enjoy building platforms, that evolve over time and scale other teams
• Enjoy having ownership of a mission critical software
• Enjoy working on a system that enables large scale deep learning research
• Thrive in small, cross-functional teams. We like to wear many hats here!

 

Requirements

• 3+ years of engineering backend applications using Python and/or other backend language(s) such as Java, C#, JavaScript, Go, C/C++
• 2+ years of working with SQL and NoSQL databases
• 2+ years working with common AWS or GCP services, or a similar platform
• 2+ years of being a maintainer of a heavily used library or framework

 

Nice to have

• 2+ years of working with accelerator backed compute (GPU or TPU)
• Experience with bazel as a build system
  

 

At AssemblyAI, our goal is to attract and retain outstanding talent from diverse backgrounds, while ensuring fair pay among our team members. Our salary ranges are determined by competitive market rates that align with our company's size, stage, and industry. It's important to note that salary is just one aspect of the comprehensive compensation package we offer.

When determining salaries, we consider various factors such as relevant experience, skill level, and qualifications evaluated during the interview process. We also strive to maintain internal equity by comparing salaries with those of peers on the team. While the salary range provided below serves as a general expectation for the posted position, we are open to considering candidates who possess more or less experience than specified in the job description. Should any updates arise regarding the expected salary range, we will communicate them accordingl