Senior Machine Learning Research Scientist

SmarterDx

. Hands-on implementing new methods and relevant baseline models (ML Research) .

Posted 4/28/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $200,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

Hands-on implementing new methods and relevant baseline models (ML Research)
Working cross-functionally to deploy models into production (MLOps, MLE)
Data Science (data engineering, dataset curation, experimental design, model updates, product domain expertise)
Academics & Outreach (e.g., scientific reading & writing, publishing, presenting at conferences, recruiting)
Become a domain expert at clinical data and the healthcare ecosystem
Own end to end model development including deployment into production and production monitoring, learning Machine Learning Operations (MLOps)
Post training to align large language models (LLMs) on proprietary clinical data
Develop new self-supervised pre-training tasks for improving models
Develop novel retrieval, attribution and hallucination detection strategies for generative models
Develop novel methods for explaining and summarizing diagnostic classifications
Develop methods for selecting data sources to include in training (data-centric AI)
Develop novel graph-based algorithms for improving classification of diseases and procedures with few or no labels
Develop novel methods for multimodal data fusion (structured and unstructured data)
Long-sequence language modeling

Requirements

What you’ll need

Desire to translate research into tangible positive impact by deploying research into production engineering systems (MLOps)
With scientific concepts, technical debugging or domain knowledge, ability and desire to communicate clearly and proactively when conveying or receiving
Deep “under-the-hood” understanding of modern neural network architectures and distributed training. ie knows the differences between SwiGLU vs. sigmoid, GRUs vs. transformers vs SSMs, encoders vs. decoders, masked language models vs. autoregressive language models, Megatron vs nanotron vs DeepSpeed
Extensive experience developing, implementing and training state-of-the-art deep learning models using multiple GPUs and nodes if necessary for large language models with frameworks such as PyTorch, JAX, etc
Ability to assess, understand and create high-quality machine learning research, as demonstrated through publications at top-tier conferences and journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, arXiv).

Benefits

Comp & perks

Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.
Remote-First Team – Work from anywhere in the U.S.
Unlimited PTO & 10 Holidays – So you can relax and recharge.
401(k) with Traditional & Roth Options – Tax-advantaged retirement savings through Fidelity with a 4% match.
Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.
Incredible Teammates! – Work alongside smart, supportive, and mission-driven colleagues.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningdeep learningdata engineeringdataset curationmodel developmentmodel deploymentdata-centric AIgraph-based algorithmsmultimodal data fusionlong-sequence language modeling

Soft Skills

communicationcollaborationscientific writingpresentation skillsproactive problem-solvingdomain expertisetechnical debugging