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, prob...
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, prob...
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