Senior Researcher, Deep Learning
About AssemblyAI
At AssemblyAI, we’re building at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding available through a straightforward API. With more than 200,000 developers building on our API and over 5,000 paying customers, AssemblyAI is helping unlock and support the next generation of powerful, meaningful products built with AI.
Progress in AI is moving at an unprecedented pace– and our team is made up of experts in AI research that are focused on making sure that our customers are able to stay on the cutting edge, with production-ready AI models that are constantly updating and improving as our team continues to improve accuracy, latency, and what’s possible with Speech AI. Our models consistently rank highest in industry benchmarks for accuracy, outperforming models from Google and Amazon, and up to 30% fewer hallucinations than OpenAI’s Whisper. Our models power more than 2 billion end-user experiences each day, helping companies better understand customer feedback, run more productive meetings with automated meeting notes, and helping improve childhood literacy via ed tech tools.
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. We’re a remote team looking to build one of the next great AI companies, and are looking for driven, talented people to help us get there!
About the role:
We're looking for a Senior Researcher to join our Research team. Creating best-in-class AI models and deploying them in production constitute the core competencies of AssemblyAI. This person will conduct applied research in Speech and Natural Language Processing (NLP) in a team setting. Specific responsibilities include: learning new ideas from research and technology communities, writing code to implement new ideas, training new models, meticulously evaluating these models, and collaborating with engineers to deploy models in production. This person should have a strong background in (applied) deep learning research and should be able to write high-quality code. With a deep understanding of the fundamentals of deep learning and its applications, they will contribute to other projects through discussions as well.
What You’ll Do:
- Provide scientific leadership on ambitious research projects that have the potential for high impact on AssemblyAI's products and the state of applied AI technology
- Engage with research communities through activities such as publishing papers or participating in conferences
- Execute those research projects in a scientifically sound manner
- Stay up-to-date on the latest AI research and share this knowledge across the company
- Collaborate with the technology leadership team to prioritize the research agenda, define the scope of research projects, and take charge of their execution
- Collaborate with the engineering team to deploy new models into production
What You’ll Need:
- Master's degree in Computer Science or a related field
- 2+ years of professional experience in Deep Learning research & development
- Excellent knowledge of deep learning architectures and techniques such as CNNs, Transformers, SSMs, self-supervised learning, etc.
- 2+ years of hands-on experience with PyTorch or JAX
- Strong written and verbal communication skills in technical matters
Nice to Have:
- Experience with JAX/Pallas/TPUs
- Experience in training large (Transformer) models on distributed systems
- Experience in training/fine-tuning (multimodal) Large Language Models
- Expertise in writing high performance CPU/GPU/TPU code
- Track record of publications in deep learning or its applications at top-tier conferences
You May Be a Great Fit if:
- Highly self-motivated and keen to have real-world impact
- Detail-oriented, analytical, and creative problem solver
- Meticulous in all aspects (code, data, modeling, ...)
- Able to work effectively in a team-oriented, collaborative environment
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 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: $190K - $247K
Working at AssemblyAI
We are a small but mighty group of startup veterans 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 lead with integrity. We’re still in the early days of AI and of AssemblyAI’s journey, and are looking for teammates who won’t just fit in, but will help us define and build our company culture.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. No matter your 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!
Keep Exploring AssemblyAI:
Learn more about AI models for speech recognition
Core Transcription | Audio Intelligence | LeMUR | Try the Playground
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