At Peoplebox.ai, 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:
- 4+ 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.
