Senior Machine Learning Engineer

2 weeks ago

Greater Bengaluru Area, India Peoplebox Full time ₹ 20,00,000 - ₹ 25,00,000 per year

At , we are revolutionizing how companies hire, develop, and retain top performers using cutting-edge AI.

Our platform uses advance AI to fully automate candidate screening, interviewing, and matching — cutting time-to-hire, saving interview bandwidth, and improving hire quality.

We're building the next generation of AI to transform hiring — and we're looking for a
Sr ML Engineer
to lead that charge.

Job Description:

As our
Sr ML Engineer,
you will spearhead the development of core machine learning capabilities focused on candidate screening, speech recognition, voice-to-text intelligence, matching and scoring. You'll also contribute to NLP/LLM models that power the intelligence behind our end-to-end AI hiring platform.

Key Responsibilities:

  • Speech AI Development:
    Build and fine-tune ASR (Automatic Speech Recognition), speaker separation, and emotion detection models using real-world interview data.
  • AI/NLP Product Development:
    Extend NLP and LLM models for candidate understanding, voice transcription enrichment, and sentiment/intent analysis.
  • Performance Optimization:
    Ensure low latency, high accuracy, and scalable deployment of models in production.
  • Cross-functional Collaboration:
    Partner with engineering, product, and design to embed intelligent voice experiences into our product.

Required Qualifications:

  • 3+ years of experience in ML/AI engineering.
  • Strong programming skills in
    Python
    , with hands-on experience using
    TensorFlow, PyTorch, Hugging Face, or ESPnet
    .
  • Solid understanding of both
    traditional ML
    and
    deep learning approaches
    for audio and language.
  • Experience deploying models in
    real-world, production environments
    with cloud infrastructure (AWS/GCP/Azure).
  • Comfort working with
    unstructured audio, large-scale datasets
    , and real-time or streaming architectures.
  • Hands-on experience with
    cloud services
    (AWS, GCP, or Azure) for AI/ML deployment.

Nice to Have:

  • Experience in
    speech or voice-related AI applications is a plus.
  • Experience working with
    LLMs and transformer-based NLP architectures
    (e.g., BERT, GPT, Whisper).
  • Familiarity with
    audio augmentation
    , noise reduction, and multilingual speech processing.
  • Background in building
    AI products for interviews, hiring, or HR tech
    .

Why Join Us?

  • Work on
    real-world AI challenges
    that combine voice, language, and talent intelligence.
  • Build and own
    products from 0 to 1
    , with high autonomy.
  • Be part of a
    YC & Nexus-backed startup
    with global traction.
  • Shape how AI changes the future of hiring and talent management.

If you're passionate about pushing the boundaries of
Speech AI and NLP
, we'd love to talk. Join us in building a smarter, faster, and more human hiring experience.

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