Retell AI

Research Scientist - Audio

Retell AI

San Francisco Bay AreaFullTime$225k – $400kPosted Apr 14, 2026
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Job description

ABOUT RETELL AI Retell AI is using first-principles thinking to reimagine the call center with cutting-edge voice AI. Thousands of companies now use Retell's AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we've scaled to $80M in ARR with a team of 50, up from $5M at the start of 2025, and are now valued at over $1.

5B. Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI “workers” that act as frontline agents, QA analysts, and managers, continuously executing, monitoring, and improving every customer interaction.

We're growing fast and looking for ambitious builders who want to tackle hard technical problems, move quickly, and have a real impact on one of the fastest-growing voice AI companies in the world. Let's build the future together. Recent recognition:

KEY RESPONSIBILITIES

  • Research & Experimentation – Explore and develop new techniques across LLMs and audio models to improve reasoning, latency, and conversational quality in real-time systems.
  • Model Training – Rapidly build and iterate on models and pipelines, turning research ideas into working prototypes. Innovate on paradigms, training methods, and inference.
  • Evaluation & Benchmarking – Design novel evaluation frameworks, datasets, and metrics to measure performance on complex, real-world voice tasks.
  • Bridge Research to Production – Collaborate closely with engineering to translate research insights into deployable systems.
  • Human Feedback Loops – Develop methods to incorporate human evaluation into model improvement, especially for subjective conversational quality.
  • Advance the Frontier – Stay at the cutting edge of ML research and bring new ideas into Retell’s product and infrastructure. REQUIRED
  • Strong ML Research Background – You've worked on advanced ML problems (like LLM pre-training and post-training, transcription model training, TTS, or multimodal systems), either in industry or academia.
  • Deep Technical Foundation – Comfortable with Py. Torch, model architectures, and the math behind modern machine learning.
  • Top Academic Background – Master's degree in CS, ML, AI or related field required; PhD preferred. Equivalent research-level engineering experience also considered. YOU MIGHT THRIVE IF YOU
  • Published or Awarded – First/co-author publications at top-tier venues (NeurIPS, ICML, ICLR, ACL, Interspeech, etc.) or notable competition awards are a strong plus.
  • Experimental Mindset – You enjoy exploring open-ended problems and iterating quickly on ideas.
  • Bridge Theory & Practice – You can translate research into systems that work in real-world environments.
  • Startup-Ready – You thrive in fast-paced environments with high ownership and ambiguity.
  • Collaborative & Clear Communicator – You can explain complex ideas and work cross-functionally to drive impact. JOB DETAILS
  • Cash: $225,000 - $400,000 base salary
  • Equity: Offers Equity
  • Location: Redwood City, CA, US (100% Relocation Provided)
  • US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT). OTHER BENEFITS - 100% coverage for medical, dental, and vision insurance - $70/day Door. Dash credit for unlimited meals and snacks - $200/month wellness reimbursement - $300/month commuter reimbursement - $75/month phone bill reimbursement - $50/month internet reimbursement COMPENSATION PHILOSOPHY
  • Best Offer Upfront: Choose from three cash-equity balance options, no negotiation needed
  • Top 1% Talent: Above-market pay (top 5 percentile)
  • High Ownership: Small teams, >$1M revenue/employee, significant equity
  • Performance-Based: Offers tied to interview performance, not past salaries INTERVIEW PROCESS
  • Talent Screen (15min): chat with our recruiter to get a better sense of the role, the team, and what it’s like to work here.
  • Technical Interview (45 min): LLM theory specific coding Interview (Py. Torch)
  • Technical Interview (45 min): Live Practical Systems Design and Coding Interview.
  • Onsite/Virtual Interviews (3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:
  • ML System Design
  • ML Question Deep Dive
  • Backend + AI Practical