Research Engineer

1 week ago

bangalore district, India Triomics Full time

Position: NLP Research Engineer

Location: On-site, HSR Layout, Benagluru.

Type: Full Time

About the Role:

We are seeking a driven NLP Research Engineer with 2–3 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-concepts—from 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
  • 2–3 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.

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