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Applied AI Scientist
Applied AI ScientistLatentForce • Republic Of India, IN
Applied AI Scientist

Applied AI Scientist

LatentForce • Republic Of India, IN
13 days ago
Job description

Machine Learning Engineer III – LLM Training (RL + PEFT)

📍 On-site, Bangalore

🏢 LatentForce

About the Role

We are building specialized LLMs that understand and reason over massive enterprise codebases. This is real model training — RL loops, PEFT, verifiable rewards, long-context modeling — not API integration. You’ll own end-to-end experimentation and work directly with founders.

Responsibilities

  • Train LLMs using RL (PPO / GRPO / RLHF / RLVR) and PEFT (LoRA, QLoRA, DoRA, IA3).
  • Build custom training loops with PyTorch, HuggingFace, TRL, Unsloth .
  • Design reward functions and verifiers for code-understanding tasks.
  • Run full-stack ML experiments : data → training → eval → iteration.
  • Develop scalable training infra (FSDP / DeepSpeed, distributed training).
  • Build evaluation suites for reasoning and code comprehension.

Minimum Qualifications

  • 3+ years of real deep learning experience (actual model training).
  • Strong fundamentals : linear algebra, probability, optimization, statistics .
  • Proven experience training transformers or large DNNs from scratch or checkpoints.
  • Proficiency in PyTorch , HuggingFace , TRL , Unsloth .
  • Experience implementing RL algorithms or custom training pipelines.
  • Research exposure (publications / preprints) or strong open-source work.
  • Ability to debug training issues (NaNs, KL drift, reward hacking, etc.).
  • Startup mindset;
  • comfortable with fast, on-site, high-performance execution.

    Nice to Have

  • DeepSpeed / FSDP, model parallelism, vLLM.
  • Program analysis / AST tooling.
  • Long-context modeling experience.
  • Why Join Us

  • Build specialized LLMs at a well-funded early-stage company.
  • Direct work with founders;
  • high ownership and technical depth.

  • High-impact role shaping core training architecture.
  • Apply here : https : / / forms.Gle / KUyohXyBjbU8gFC69

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