Research Engineer
Triomics · Bengaluru · onsite · Posted 75d ago
Not disclosed2–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Requirements:
- 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.
Sourced from instahyre
Skills
Hugging Face TransformersPytorchPythonRetrieval Augmented GenerationNatural Language ProcessingLarge Language ModelEmbeddingsLarge Language Models (LLMs)Machine Learning
About Triomics
Triomics
HiringAI Agents for Oncology EHRs
50
employees
2021
5 years old
New York City, NY
United States
About
Triomics is building the AI infrastructure for modern oncology. Across the U.S., cancer care providers rely on highly trained staff to manually review unstructured patient records such as pathology reports, clinical notes, genomic panels, and scanned faxes to support workflows like clinical trial matching, visit preparation, and quality reporting. We replace that manual work with task-driven AI agents embedded directly into clinical workflows, automatically processing medical records at scale and in real time.
Our platform is trusted by 4 of the top 10 Best Hospitals for Cancer ranked by U.S. News, as well as several of the largest community oncology practices.
Industries
Artificial Intelligence (AI)Clinical TrialsGenerative AIHealth CareHospitalOncology