AI Research Scientist

Job not on LinkedIn

🔥 22 minutes ago

🇧🇩 Bangladesh – Remote

💵 ৳70k - ৳120k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 0%

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GenMD

WebsiteLinkedInAll Job Openings

2 - 10 employees

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

GenMD is a healthcare data company that creates privacy-preserved digital twins of clinical records so researchers, health systems, and AI teams can collaboratively analyze and build models without exposing individual patient data. GenMD deploys inside a health system’s cloud account, generates synthetic replicas that preserve statistical structure while minimizing re-identification risk, validates privacy and fidelity, and provides vetted researchers and frontier AI teams fast access to usable clinical datasets. Health systems retain governance, can decline partners, audit use, and earn revenue when partners license access to data.

📋 Description

• Train, fine-tune, and optimize LLMs using PyTorch and Hugging Face • Build synthetic data generation pipelines at scale • Develop LLM benchmarks, automated evaluation pipelines, and LLM-as-a-Judge systems • Experiment with supervised, semi-supervised, and unsupervised learning • Explore Mixture-of-Experts (MoE), model ensembles, distillation, and other modern LLM techniques • Translate research ideas into reproducible experiments and production systems • Collaborate with Stanford researchers • Develop benchmarks and publish research papers in conferences and journals • Work on real-world LLM and healthcare AI problems

🎯 Requirements

• B.Sc. (minimum) in CS, AI, ML, NLP, or a related field • Thesis work in LLM/NLP strongly preferred • Publications in LLM/NLP strongly preferred • Strong hands-on expertise working with LLMs • Strong Python skills • Experience with PyTorch, Hugging Face, model training, fine-tuning, and evaluation

🏖️ Benefits

• Fully remote work • Approximately 50% working-hour overlap with California office hours, typically 9 AM-1 PM Pacific Time • Access to high-performance GPU servers, including A100 GPUs, for model training and fine-tuning • Opportunity to collaborate with Stanford researchers • Opportunities to develop benchmarks and publish research papers in conferences and journals • Work directly on challenging, real-world LLM and healthcare AI problems • Full-time employment (40 hours/week)

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