Senior Machine Learning Engineer
Senior
Ai Ml
Artificial Intelligence
AWS
Aws Sagemaker
Data Pipeline
Data Platform
Data Processing
Data Science Ml
Deep Learning
Generative AI
Large Language Models
Llm Operations
Machine Learning Engineer
Machine Learning Models
Machine Learning Pipelines
Ml Ops
Nlp
PyTorch
scikit-learn
SQL
TensorFlow
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.