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Position: ML Research Engineer
Location: On-site ( HSR Layout, Bengaluru )
Type: Full Time
About the Role:
We are seeking a driven NLP Research Engineer with 23 years of hands-on experience in model development and prototyping. In this R&D-focused role, you will explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text. Your primary responsibility is to drive proof-of-conceptsfrom rapid iterations to rigorous experimental evaluations on clinical-text tasks. While our production teams will help with deployment, you'll collaborate closely to hand off scalable prototypes that demonstrate clear performance gains.
What We Expect You to Bring:
- Bachelor's or Master's degree in Computer Science, Computational Linguistics, AI/ML, or a related field
- 23 years of professional R&D experience in NLP or ML research roles
- Strong Python skills and deep familiarity with PyTorch or TensorFlow
- Proficiency in working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers, LangChain, vectorDBs, etc), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
- Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks
- Familiarity with building retrieval-augmented generation (RAG) pipelines.
- Hands-on experience with LLM fine-tuning using LoRA and SFT methods
- Solid understanding of experimental design, ablation studies, and statistical significance testing
- Familiarity with clinical or biomedical NLP is a plus
- If you have worked with Direct Preference Optimization (DPO), that's a plus
- Excellent communication skills for sharing insights in seminars, whitepapers, or publications
What You Will Be Doing:
- Model Innovation & Prototyping: Rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
- Experimental Design & Analysis: Define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
- Proof-of-Concept Development: Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
- Collaboration & Knowledge Sharing: Work alongside NLP engineers and MLOps teams to hand off production-ready prototypes; present findings in regular research seminars and contribute to internal or external publications.
- Literature & Trend Monitoring: Continuously survey the latest NLP/ML research, distill key innovations, and propose experiments to test applicability in our clinical environment.
Why Join
- We are revolutionizing a unique industry that has the potential to impact and benefit patients from all over the world - you can create impact at scale.
- We have access to the best computing resources available, including the H100 and A100, among others.
- We have had company-sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture.
- We are working on a few of the most challenging problems in a highly regulated industry, which provides you with an opportunity to solve some of the most interesting things.
- You will get a chance to work with experts from multiple industries, the best in the industry compensation, and to continue building your own (and, of course, new) projects.
Perks & Benefits:
- Unlimited Leave Policy take time off when you need it. We believe in trust, not tracking.
- Lunch Provided at the Office one less daily decision, one happier employee.
- Flexible Working Hours we care about output, not clock-ins.
- Health Insurance comprehensive coverage for you and your family.
- Zomato Meal Benefit breakfast and dinner can be ordered when you come in early or leave late, because effort deserves fuel.
