BJAK

Machine Learning Engineer, LLM

BJAK

full-time

Posted on:

Location: 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

PyTorchTensorflow

About the role

  • Fine-tune & adapt - Use LoRA/QLoRA to optimize open-source models (LLaMA, Mistral, Gemma)
  • Engineer prompts & curates data - Craft prompts and datasets that reflect tone, brand voice, and safety.
  • Evaluate models – Build metrics pipelines for perplexity, toxicity, and relevance to ensure safe and high-quality outputs.
  • Deploy & monitor – Scale models into production with performance optimization and monitoring for drift.
  • Collaborate & deliver – Partner with product, engineering, and design teams to launch user-facing AI features.
  • You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production. Your work ensures our models are not only intelligent, but also safe, trustworthy, and impactful at scale.

Requirements

  • Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation).
  • Proficiency with PyTorch (preferred) or TensorFlow.
  • Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust.
  • Familiar with evaluation metrics: perplexity, toxicity, relevance.
  • Strong software engineering foundations in algorithms, data structures, and clean code practices.
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