SmarterDx
Staff Machine Learning Research Scientist
Remote (United States) · Staff+
Sponsorship not specified$220k-$260kDetected 6 days ago
PythonDistributed SystemsGitSnowflakeAWSKubernetesMachine LearningDeep LearningPyTorchAirflowNLPLLMsMLOpsEHR/EMRPatient CareResearchExperimental Design
About the role
- SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered.
- As a Staff Machine Learning Research Scientist at SmarterDx, you will set technical direction for cutting-edge ML research and translate it into real-world clinical impact.
- This is a senior, high-impact role where you'll not only execute on ambitious ideas but also shape the team's research agenda and standards.
Responsibilities
- Lead end-to-end ML research, from idea generation to production deployment and monitoring
- Design, implement, and evaluate novel methods for LLM alignment on proprietary clinical data
- Develop and rigorously evaluate approaches for hallucination detection, attribution, and model reliability
- Build and curate high-quality datasets, with a strong emphasis on evaluation design and benchmark integrity
- Establish best practices for experimental design, including statistically sound evaluation and reproducibility
- Collaborate cross-functionally with engineering to productionize models (MLOps, infra, deployment)
- Develop methods for long-context and multimodal modeling (structured + unstructured clinical data)
- Experience designing rigorous evaluation frameworks and building high-quality test datasets
- Strong intuition for dataset quality, bias, and benchmark design (data-centric AI mindset)
Requirements
- Strong track record of ML research, ideally with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, etc.)
- Proven ability to distinguish high-quality vs low-quality research, especially in fast-moving areas like LLMs
- Experience deploying ML models into production systems and monitoring their performance
- Experience with inference optimization techniques (e.g., vLLM, KV caching, speculative decoding)
- Familiarity with MLSys concepts (parallelism strategies, distributed training infrastructure)
Compensation
- $220k-260k base salary
Benefits
- Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
- Paid Parental Leave -
- 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.
- As a Smartian, you'll help build technology that makes healthcare more accurate, sustainable, and effective for everyone.
- You'll work at the intersection of research, engineering, and healthcare, partnering with engineers and clinicians to build systems that deeply understand patient records and improve hospital outcomes.
- Hands-on experience training large-scale deep learning models (multi-GPU / distributed systems)
- Experience working with clinical or healthcare data
- Background in retrieval systems, graph-based learning, or multimodal modeling
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This listing is sourced directly from SmarterDx's careers page and normalized into a canonical job model.