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Staff Machine Learning Research Scientist

1 month ago
United States
Full-time
Lead
AI Research Scientist
Data Science and Analytics
Apache Airflow AWS GitHub Kubernetes Machine Learning MLOps Python PyTorch Snowflake Transformers
Apply Now
SmarterDx

SmarterDx

SmarterDx ensures revenue integrity by leveraging A.I. algorithms to uncover missed opportunities in clinical data, optimizing tasks for accurate ICD 10 coding and guaranteeing a 5:1 ROI.

Professional Services
11-50
Founded 2019
View All Jobs 17

Description

  • Lead end-to-end machine learning research from idea generation through production deployment and monitoring.
  • Design, implement, and evaluate novel methods for LLM alignment using proprietary clinical data.
  • Develop and evaluate approaches for hallucination detection, attribution, and model reliability.
  • Build and curate high-quality datasets with strong evaluation design and benchmark integrity.
  • Critically assess academic literature and translate the strongest ideas into practice.
  • Establish best practices for experimental design, statistically sound evaluation, and reproducibility.
  • Collaborate with engineering teams to productionize models across MLOps, infrastructure, and deployment.
  • Develop methods for long-context and multimodal modeling across structured and unstructured clinical data.
  • Mentor other researchers and help raise research quality standards across the team.
  • Contribute externally through papers, talks, and recruiting.

Requirements

  • Strong track record of ML research, ideally with publications in top-tier venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, or AAAI.
  • Proven ability to distinguish high-quality from low-quality research, especially in fast-moving areas like LLMs.
  • Deep understanding of LLM failure modes, especially hallucinations, and how to evaluate and mitigate them.
  • Experience designing rigorous evaluation frameworks and building high-quality test datasets.
  • Strong intuition for dataset quality, bias, and benchmark design with a data-centric AI mindset.
  • Hands-on experience training large-scale deep learning models in multi-GPU or distributed systems.
  • Deep understanding of modern neural architectures such as transformers, SSMs, and encoder/decoder models.
  • Strong programming skills in Python and ML frameworks such as PyTorch or JAX.
  • Experience deploying ML models into production systems and monitoring their performance.
  • Clear and proactive communication skills, with the ability to explain complex ideas and critique work effectively.
  • Experience with inference optimization techniques such as vLLM, KV caching, or speculative decoding, preferred.
  • Familiarity with MLSys concepts such as parallelism strategies and distributed training infrastructure, preferred.
  • Experience working with clinical or healthcare data, preferred.
  • Background in retrieval systems, graph-based learning, or multimodal modeling, preferred.

Benefits

  • Base salary of $220k-$260k.
  • Comprehensive medical, dental, and vision coverage with 75% of premiums covered depending on the plan.
  • Paid parental leave of up to 12 weeks for birth or adoption.
  • Remote-first work environment with the ability to work from anywhere in the U.S.
  • Unlimited PTO plus 10 holidays.
  • 401(k) with traditional and Roth options and a 4% match through Fidelity.
  • Minimal bureaucracy in a fast-moving, high-impact environment.

Interested in this position?

Apply directly on the company website

Apply Now

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