Staff Researcher, Speech (ASR)

Key Skills

Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), R Programming, UI design, UX design

Job Description

At AssemblyAI, we’re creating a leading Applied AI company by building powerful models to transcribe and understand audio data, exposed through a straightforward web API.

Progress in AI is moving at an unprecedented pace–we keep our pulse on the latest developments and breakthroughs in AI research and use these advances to inform our production-ready AI models. 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 API to transcribe and understand millions of videos, podcasts, phone calls, and Zoom meetings every day.

We’ve raised funding by leading investors including Accel, Insight Partners, Y Combinator’s AI Fund, Patrick and John Collision, Nat Friedman, and Daniel Gross. As part of a huge and emerging market, AssemblyAI is well on its way to becoming the leader in applied AI.

Join our world-class, remote team and help us build an iconic AI company!

About the role:

AssemblyAI is growing quickly, and we’re searching for a Senior Researcher 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 AssemblyAI.

What You’ll Do:

• Provide scientific leadership on high-impact ambitious research projects
• Ensure we are performing sound scientific research that is of publication quality
• Stay up-to-date on the latest research in the NLU domains and share this knowledge with the team
• Replicate state-of-the-art Deep Learning models based on conference/journal publications
• Manage research project priorities, deadlines, and deliverables
• Collaborate with engineering to productionize and release new models to production

What You’ll Need:

• Master's degree in Machine Learning or equivalent practical experience
• 5+ years experience in Machine Learning research
• 4+ years experience in Deep Learning research in either the ASR of NLU domain
• Track record of conference or journal publications
• 2+ years experience in industry applied research in ASR or NLU

Nice to Have:

• PhD in Computer Science, Mathematics, Artificial Intelligence, or a related technical field
• 1+ year of experience mentoring junior researchers on doing research and having it published
• 1+ year of experience writing models in Google JAX and training them on TPU hardware

Pay Transparency:

AssemblyAI strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on paying competitively for our size, stage and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.

Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.

Salary range: $170K - $230K

Working at AssemblyAI

We are a small but mighty group of problem solvers, innovators, and experienced AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we’re looking for people to join our team who are ambitious, curious, and self-motivated. We put a lot of trust and autonomy into everyone on our team and want to find people who will add to our culture, not just fit in.

We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply!