Speech & Audio ML Engineer

About this role

The AI team owns the models inside the product: resume understanding, candidate-to-role matching, and the assistive tooling recruiters use every day.

Work on interview transcription and audio understanding across Indian-accented English and code-mixed speech, where off-the-shelf models do noticeably worse.

These models influence who a recruiter sees, which makes fairness a design constraint rather than a review step at the end. Every ranking change is evaluated for differential impact before it ships, and the team has standing authority to stop a launch. The input is genuinely hard — CVs in every format a human can invent, multilingual and code-mixed text, and documents photographed at an angle in bad light.

Primary responsibilities

• Build speech recognition and audio models for interview recordings and voice content
• Work across Indian languages and accents, where off-the-shelf recognition performs badly
• Handle real recording conditions — a phone, a noisy room, a poor connection
• Build speaker diarisation for multi-party interview recordings
• Evaluate on data that reflects the actual users rather than a read-speech corpus

Skills required

Day to day this role works with Python, Audio, PyTorch and Speech Recognition.

• Four or more years in speech or audio ML
• Realistic about word error rate on real recordings
• Three or more years in speech or audio machine learning
• Speech recognition model training or fine-tuning
• Working across Indian languages and accents where off-the-shelf recognition performs badly
• Handling real recording conditions — a phone, a noisy room, a poor connection