[Remote] Senior Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. OneStudyTeam, a Reify Health company, specializes in accelerating clinical trials to improve patient outcomes. As a Senior Machine Learning Engineer, you will build AI-driven products that enhance clinical research processes and collaborate with cross-functional teams to integrate AI capabilities into their platform.ResponsibilitiesBuild and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical researchDevelop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You’ll also help expand our AI knowledge base architecture to support these innovative solutionsLeverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You’ll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-dateCollaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-usersContinuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You’ll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forwardSkillsExtensive ML engineering experience: 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 peopleStrong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not requiredCloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deploymentsDeep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is importantAnalytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in productionMission-driven and business-focused mindset: A passion for our mission to speed up clinical trials and improve patient outcomes. Empathy for patients, clinicians, and researchers drives you to build unbiased AI solutionsCompany OverviewOneStudyTeam is a cloud-based software company that work to ensure therapeutic development moves at the speed of science. It is a sub-organization of Reify Health. It was founded in 2012, and is headquartered in Boston, Massachusetts, USA, with a workforce of 201-500 employees. Its website is https://www.onestudyteam.com.