Machine Learning Research Engineer, Pre-training (LLMs)
Real job — pulled straight from Eka Care’s careers page · Verified August 11, 2026 · No reposts.
Job description
Eka Care is hiring a Machine Learning Research Engineer, Pre-training (LLMs) — a full-time, based in Bengaluru, India role. Apply directly on Eka Care's careers page below.
ML Research Engineer - Pre-training (LLMs)
Location: Bengaluru, India
Department: Data Science.
Experience: 2 - 4
- Design and run CPT/mid-training ablation ladders at proxy scale, the experimental backbone that decides the real run.
- Own data-mix and curriculum empirics: medical vs general, Indic vs English, replay ratios (~70% design point), annealing schedules.
- Debug training at scale: loss spikes, precision issues, dataloader stalls, checkpoint pathologies.
- Build per-stage eval hooks so every CPT phase has a scoreboard, not a vibe.
- Run tokeniser, long-context and MoE-health experiments (routing balance, expert utilisation).
- 2–4 years in ML with pretraining or CPT you personally ran at ≥1B scale (ideally ≥7B, 100B+ tokens) — the recipe was yours to break and fix.
- Fluency with Megatron/NeMo/TorchTitan-class trainers and distributed fundamentals (TP/PP/DP, mixed precision).
- Empirical rigour: you design ablations that answer questions.
- You read papers fast and implement faster.
- MoE training exposure; scaling-laws mindset.
- Indic-language or domain-specific (medical/legal/code) pretraining.
- Kernels curiosity — you've opened a profiler and enjoyed it.
- Open source, with your name on it: weights and technical reports ship publicly.
- India-scale mission: models for a billion people in their own languages.
- Compute that’s rare to fine: dedicated multi-node H200 training under a national grant.
- Small senior team: you work with the people who own the recipe.
- A live deployment path: Government institutes, EkaCare's doctors and patients use what you ship.
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Frequently asked questions
What skills are required for Machine Learning Research Engineer, Pre-training (LLMs) at Eka Care?
The required skills for Machine Learning Research Engineer, Pre-training (LLMs) at Eka Care include: Machine Learning, Deep Learning, Python, PyTorch, LLM.
What is the seniority level for Machine Learning Research Engineer, Pre-training (LLMs) at Eka Care?
Machine Learning Research Engineer, Pre-training (LLMs) at Eka Care is a Mid Level level position.
How do I apply for Machine Learning Research Engineer, Pre-training (LLMs) at Eka Care?
You can view the full description and apply for Machine Learning Research Engineer, Pre-training (LLMs) at Eka Care on EchoJobs: https://echojobs.io/job/eka-care-ml-research-engineer-pre-training-llms-w9xgi.