OneStudyTeam

Senior Machine Learning Engineer

OneStudyTeam

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AWSClojureCloudDockerPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
  • Develop advanced ML models and LLM-powered agents for use cases like patient recruitment, enrollment forecasting, and study feasibility.
  • Expand AI knowledge base architecture to support innovative ML/LLM solutions.
  • Leverage modern cloud tools and MLOps best practices (Python, dbt, Prefect, AWS Athena/Bedrock/SageMaker, Docker, CI/CD, monitoring) to build robust data pipelines and deploy models at scale.
  • Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into the StudyTeam platform (including Care Access products).
  • Continuously learn, experiment with cutting-edge techniques, and turn promising prototypes into production features that drive the mission forward.

Requirements

  • 5+ years of hands-on experience building and deploying machine learning solutions in production at scale.
  • Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications.
  • Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch).
  • Comfortable working with large datasets and writing complex SQL queries.
  • Experience with cloud services (AWS: Athena, Bedrock, SageMaker, etc.) and containerization tools like Docker.
  • Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift.
  • Familiarity with NLP and large language models (LLMs).
  • Experience with functional programming (e.g. Clojure) is a plus but not required.
  • Strong understanding of machine learning fundamentals and statistical/probabilistic modeling.
  • Analytical problem-solving skills and ability to balance pragmatic engineering with scientific rigor.
  • Mission-driven with empathy for patients, clinicians, and researchers.
  • Must abide by all organizational security and privacy policies as a condition of employment.
  • OneStudyTeam is unable to sponsor work visas at this time (work authorization requirement).