Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

As our 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.

Responsibilities

  • 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.

Requirements

  • 2+ years of experience in ML/AI engineering.
  • Strong programming skills in Python, with hands-on experience using TensorFlow, PyTorch, and Hugging Face.
  • Solid understanding of both traditional ML and NLP 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.
This job was posted by Zenobia Diana Mccoy from Peoplebox.

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