EngineerJobs.io
← Back to all jobs

This position is no longer accepting applications

Closed on September 16, 2026.

This role is filled — get an email when new Data Processing roles open on EngineerJobs.io:

Job Description

OneStudyTeam is building AI products designed to accelerate clinical trials and support better patient outcomes. This remote role focuses on engineering machine learning and LLM-powered capabilities that integrate with the company’s platform, including Care Access products, while standing up reliable production pipelines and deployments.

As a Senior Machine Learning Engineer, you will develop end-to-end ML/LLM solutions, expand the underlying AI knowledge base architecture, and partner with cross-functional teams to ensure these systems enhance clinical research workflows for end-users.

Responsibilities

  • 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 including patient recruitment, enrollment forecasting, and study feasibility.
  • Help expand the AI knowledge base architecture to support innovative AI solutions.
  • Use modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.
  • Implement solutions using technologies including Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to keep models reliable and up-to-date.
  • Collaborate with data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into the platform (including Care Access products).
  • Ensure AI solutions seamlessly support and enhance clinical research workflows for end-users.
  • Stay current with ML/AI developments (LLMs, NLP, probabilistic modeling) and proactively bring new ideas to the team.
  • Experiment with cutting-edge techniques and turn promising prototypes into production features.

Requirements

  • Minimum of 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 used by real people.
  • Strong proficiency in Python and the ML ecosystem, including pandas, scikit-learn, and TensorFlow/PyTorch, with clean and efficient coding practices.
  • Comfort with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks.
  • Experience with functional programming such as Clojure is a plus but not required.
  • Experience with modern cloud infrastructure (AWS or similar) and containerization tools such as Docker.
  • Familiarity with MLOps best practices, including CI/CD pipelines, automated testing, and monitoring for model performance and data drift.
  • Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling.
  • Familiarity with NLP and large language models is important.
  • Ability to break down complex problems and devise effective and efficient ML solutions.
  • Pragmatic engineering paired with scientific rigor to deliver models that are accurate, performant, and maintainable in production.
  • Passion for the mission to speed up clinical trials and improve patient outcomes.
  • Empathy for patients, clinicians, and researchers to build unbiased AI solutions.

Technologies

  • Python, Clojure, pandas, scikit-learn, TensorFlow, PyTorch
  • SQL
  • AWS (Athena, Bedrock, SageMaker)
  • dbt, Prefect
  • CI/CD, Docker
  • LLMs, NLP, probabilistic modeling, model performance/data drift

Location and Salary

  • Location: Remote
  • Compensation: USD 140,000 - 190,000 per year

Mandatory Employer Disclosures

  • Illinois: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction.
  • Connecticut: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment.
  • Arizona, Georgia, Indiana, North Dakota: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment.
  • Massachusetts: It is unlawful to require or administer a lie detector test as a condition of employment or continued employment.
  • Rhode Island: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment.
  • Maryland: Under Maryland law, an employer may not require an individual to submit to or take a lie detector or similar test as a condition of employment or continued employment.

Similar Jobs