Senior Researcher, Deep Learning

About AssemblyAI

At AssemblyAI, we’re revolutionizing the Applied AI industry by developing advanced models to transcribe and understand audio data, accessible via a simple web API.

The pace of AI advancement is unprecedented, and we stay at the forefront by integrating the latest AI research breakthroughs into our production-ready AI models. Our Automated Speech Recognition (ASR) models surpass those of Google, AWS, and Microsoft, empowering hundreds of companies and thousands of developers to transcribe and understand millions of videos, podcasts, phone calls, and Zoom meetings every day.

We’re backed by leading investors such as Accel, Insight Partners, Y Combinator’s AI Fund, Patrick and John Collison, Nat Friedman, and Daniel Gross. Positioned in a booming market, AssemblyAI is on its way to becoming a leader in applied AI.

Join Our World-Class Team

If you're passionate about AI, join our remote team and help us build an iconic AI company!

About the Role: Senior Researcher - Deep Learning

We seek a Senior Researcher to join our Research team. Your core responsibilities will include creating cutting-edge AI models and deploying them. You will conduct applied research in Speech and Natural Language Processing (NLP) within a collaborative team environment. Key tasks include:

• Learning new ideas from research and technology communities
• Implementing and training new models
• Meticulously evaluating models
• Collaborating with engineers to deploy models in production
• Contributing to other projects through discussions

What You’ll Do

• Provide scientific leadership on high-impact research projects for AssemblyAI's products and applied AI technology
• Engage with research communities through publishing papers or participating in conferences
• Execute research projects scientifically
• Stay updated on the latest AI research and share insights across the company
• Collaborate with the technology leadership team to set research priorities and define project scope
• Work 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 and development
• Strong 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
• Excellent 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 top-tier conferences

You May Be a Great Fit If You Are

• Highly self-motivated and keen to make a real-world impact
• Detail-oriented, analytical, and creative problem solver
• Meticulous in coding, modeling, and all aspects of work
• Able to thrive in a team-oriented, collaborative environment

Pay Transparency

AssemblyAI is committed to pay equity and offers competitive salaries adjusted for experience, skill level, and qualifications. Our salary ranges are based on industry standards and internal equity.

The base salary range for this position is $185K - $280K, applicable for candidates in the U.S. For candidates outside the U.S., salary ranges may vary and will be communicated during the process.

Working at AssemblyAI

We are a team of problem solvers, innovators, and seasoned AI researchers with over 20 years of expertise in Machine Learning, Speech Recognition, and NLP. As a fully remote team, we're looking for ambitious, curious, and self-motivated individuals. We value trust and autonomy and seek team members who will enhance our culture.

We foster an inclusive environment where employees can bring their full selves to work. We encourage candidates from