Research Engineer, Applied ML

Triomics; Varanasi; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Lunch provided at the office

Flexible working hours

Comprehensive health insurance for you

Zomato meal benefits for early starts

Job summary

Triomics in India seeks a Research Engineer to build applied NLP and LLM systems for oncology workflows, handling clinical text, information extraction, summarization, and trial matching. You will develop prototypes and production components and work on real-world data.

We value hands-on model development, experimentation, evaluation, and building robust ML systems that can move toward production, collaborating with ML, data, and clinical teams in a fast-paced environment.

Qualifications

• Hands-on ML/NLP with real-world data.
• Strong Python programming and debugging skills.
• Familiarity with PyTorch, transformers, and LLM concepts.

Responsibilities

• Build prototypes and production-oriented components for clinical information extraction and LLM workflows.
• Implement prompts, RAG pipelines, fine-tuning experiments, extraction logic, evaluation scripts, and error-analysis tools.
• Collaborate with senior engineers to improve model quality and reliability.
• Analyze clinical-text model failures and propose improvements.
• Work with clinical data specialists to understand labeling guidelines and edge cases.
• Write clean, tested Python code and contribute to internal tools and pipelines.

Skills

NLP/LLM

Python

PyTorch

RAG

Prompt engineering

Data pipelines

Tools

Docker

APIs

ML deployment

MLflow/W&B

Job description

About The Role

We are looking for a Research Engineer to build applied NLP and LLM systems for healthcare and oncology workflows. You will work on real-world clinical text, information extraction, patient-trial matching, summarization, RWE abstraction, and structured outputs from clinical documents.

This role is ideal for someone who enjoys hands‑on model development, experimentation, evaluation, and building practical ML systems that can eventually move toward production.

What You Will Do

• Build prototypes and production-oriented components for clinical information extraction and LLM workflows.
• Implement prompts, RAG pipelines, fine‑tuning experiments, extraction logic, evaluation scripts, and error‑analysis tools.
• Work with senior engineers to improve model quality, robustness, and reliability.
• Analyze clinical‑text model failures and propose meaningful improvements.
• Collaborate with Clinical AI Data Specialists to understand labeling guidelines, data quality issues, and clinical edge cases.
• Collaborate with ML Evaluation Engineers to run benchmark and regression tests.
• Write clean, tested, maintainable Python code and contribute to internal tools, data processing scripts, and annotation/evaluation workflows.

What We Expect

• 1.5–4 years of hands‑on experience in ML, NLP, LLMs, or data‑intensive software engineering.
• Strong Python programming skills and willingness to work with messy real‑world data.
• Familiarity with PyTorch, HuggingFace, embeddings, transformers, RAG, prompt engineering, and basic fine‑tuning.
• Good understanding of precision/recall/F1, train/validation/test splits, overfitting, error analysis, and experiment tracking.
• Ability to learn clinical domain concepts and ask clarifying questions about labels and data.
• Strong ownership of assigned modules and tasks.

Nice to Have

• Clinical NLP, biomedical text, healthcare documents, or information extraction experience.
• Experience with LangChain/LlamaIndex, vector databases, spaCy, OCR/document processing, annotation tools, or structured LLM outputs.
• Exposure to Docker, APIs, ML deployment, MLflow/W&B, or data pipelines.

Success in 6 Months

• Independently own modules or bounded workstreams.
• Write reliable code and experiments with clear documentation.
• Analyze model errors and suggest meaningful improvements.
• Collaborate well with clinical data, evaluation, and MLOps functions.

About Triomics

Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records—pathology reports, clinical notes, genomic panels—to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task‑driven AI agents that sit inside the EMR and process records at scale, in real time.

Our platform is trusted by leading cancer centers including Memorial Sloan Kettering, Mount Sinai, and Yale Cancer Center. We have grown 10x in the last year and process millions of oncology medical documents monthly.

Our investors include Battery Ventures, Lightspeed, General Catalyst, Nexus Venture Partners, and Y Combinator.

Why Join Triomics

• Impact at scale. The systems your teams build directly power AI workflows that accelerate cancer research and improve patient outcomes.
• Cutting‑edge problems. Hard, data‑intensive systems at the intersection of AI, healthcare, and scale—in a highly regulated industry where reliability is non‑negotiable.
• World‑class team. Work alongside top talent across AI, engineering, and product, with best‑in‑industry compensation.
• Culture that ships. Fast‑paced, ownership‑driven, with company‑sponsored workations.

Perks & Benefits

• Lunch provided at the office — one less daily decision.
• Flexible working hours — we care about output, not clock‑ins.
• Comprehensive health insurance for you and your family.
• Zomato meal benefits for early starts and late nights.