Machine Learning Engineer III

3 weeks ago

Dharwad, India LatentForce Full time

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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