Senior Researcher
About the role
Senior Researcher at AssemblyAI, a remote-friendly role focusing on advancing Speech AI research, model training/fine-tuning, data quality, and production readiness within a cross-functional team.
Responsibilities
- Research and develop new methods that push the frontier of Speech AI.
- Improve the data our models learn from: investigate quality issues, build tooling that surfaces them, and turn what you find into measurable accuracy gains.
- Analyze the accuracy of production models, build evaluation harnesses, and work out which improvements will matter most to customers.
- Partner with researchers and engineers to turn research prototypes into production-ready systems, modernizing model architectures and inference stacks along the way.
- Find and fix performance bottlenecks across our training stack.
Qualifications
- Hands-on experience training or adapting (e.g., fine-tuning) frontier speech or multimodal language models.
- Discipline in measurement and analysis. Skeptical of results until they hold up; treats unexplained improvements as problems to investigate.
- Appetite for the whole pipeline. Deep expertise in core area with willingness to chase customer/Data issues end-to-end.
- Enthusiasm for building and sharing tools. Ability to create tools for performance analysis and data processing and share them across the team.
- Self-direction. Ability to identify problems, run investigations autonomously, and focus on high-impact work.
- Strong Python skills.
Skills
About AssemblyAI
APIs for AI models
AssemblyAI is an applied AI company. We research, train, and deploy State-of-the-Art AI models for developers and product teams to integrate into their products/apps. Today, we offer AI models for audio transcription, content moderation, summarization, topic detection, and many other tasks. We are working towards building the "Stripe for AI models" - where developers and product teams will be able to easily access State-of-the-Art AI through a simple API. We're a fully remote team of AI researchers and ML engineers, and have raised over $65M in funding from top investors including Accel, Insight Partners, Y Combinator, John/Patrick Collison, Daniel Gross, and Nat Friedman.
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