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Senior Machine Learning Research Scientist

2 hours, 39 minutes ago
United States
Full-time
Senior
AI Research Scientist
Data Science and Analytics
Apache Airflow GitHub Kubernetes LLM Machine Learning MLOps Neural Networks Python PyTorch SageMaker Snowflake
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 21

Description

  • Lead machine learning research and development efforts for clinical AI products.
  • Establish a research agenda informed by emerging trends in AI.
  • Design, develop, and rigorously evaluate new algorithms and models.
  • Deploy models into production and monitor their performance over time.
  • Collaborate with engineers and clinicians to turn research into enterprise-grade products.
  • Work cross-functionally on MLOps and machine learning engineering initiatives.
  • Handle data engineering, dataset curation, experimental design, and model updates.
  • Contribute to scientific reading, writing, publishing, presenting, and recruiting efforts.
  • Become a domain expert in clinical data and the healthcare ecosystem.
  • Develop advanced modeling approaches including self-supervised pre-training, retrieval, attribution, hallucination detection, multimodal fusion, graph-based methods, and long-sequence language modeling.

Requirements

  • Experience translating research into production engineering systems, including MLOps.
  • Ability to communicate clearly and proactively about scientific concepts, technical debugging, or domain knowledge.
  • Deep understanding of modern neural network architectures and distributed training.
  • Extensive experience developing, implementing, and training state-of-the-art deep learning models across multiple GPUs and nodes when needed.
  • Experience working with large language models using frameworks such as PyTorch or JAX.
  • Proven ability to assess, understand, and create high-quality machine learning research.
  • Publications at top-tier conferences or journals such as NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR, AAAI, NEJM AI, JAMIA, npj Digital Medicine, or arXiv.
  • Nice to have: MLSys knowledge such as tensor, pipeline, and data parallelism; gloo, MPI, and NCCL; CUDA and ROCm; Triton and ThunderKittens.
  • Nice to have: Familiarity with inference optimizations such as vLLM, SGLang, continuous batching, KV caching, and speculative decoding.
  • Experience with the listed tech stack, including PyTorch, Python, GitHub, Snowflake, Hugging Face Transformers, AWS SageMaker, Microsoft DeepSpeed, TorchTune, Apache Airflow, SLURM, and Kubernetes.

Benefits

  • Base salary of $200K–$220K+.
  • Medical, dental, and vision insurance 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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