Senior Machine Learning Engineer

CARE

. Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes .

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $140,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning solutions at scale, with a strong focus on AI-driven products that enhance clinical trials and patient outcomes. Proficient in Python and its ML ecosystem, with a solid understanding of MLOps best practices and cloud infrastructure.

Highest-signal resume keywords

Machine Learning SolutionsPython ProficiencyAWS ServicesMLOps Best PracticesData Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData IngestionModel ServingSQL QueriesStatistical ModelingNLPFeature EngineeringModel EvaluationClean Coding PracticesLarge Datasets

Tools & Technologies

AWSDockerDbtPrefectCI/CD AutomationPandasScikit-LearnTensorFlowPyTorch

Industry Keywords

Clinical TrialsPatient OutcomesAI-Driven ProductsData Processing FrameworksAutomated Testing

Tech Stack

Tools & technologies

AWSClojureCloudDockerPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes
Develop advanced ML models and LLM-powered agents for patient recruitment, enrollment forecasting, and study feasibility
Expand AI knowledge base architecture
Build robust data pipelines and deploy models at scale using modern cloud tools and MLOps best practices
Use Python, Clojure, AWS services, dbt, Prefect, and CI/CD automation with monitoring
Collaborate with data scientists, product managers, designers, engineers, and domain experts
Integrate AI capabilities into Care Access products and clinical research workflows
Stay current with ML/AI developments and turn prototypes into production features

Requirements

What you’ll need

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
Proficiency in Python and its ML ecosystem, including pandas, scikit-learn, and TensorFlow/PyTorch
Clean and efficient coding practices
Experience working with large datasets and writing complex SQL queries
Experience with modern data processing frameworks
Experience with modern cloud infrastructure such as AWS or similar
Experience with containerization tools such as Docker
Familiarity with MLOps best practices, CI/CD pipelines, automated testing, and monitoring model performance/data drift
Strong understanding of machine learning fundamentals, including model selection, training, evaluation, and feature engineering
Knowledge of statistical modeling
Familiarity with NLP and large language models
Ability to devise effective, efficient, accurate, performant, and maintainable ML solutions
Passion for speeding up clinical trials and improving patient outcomes
Care Access is unable to sponsor work visas at this time

Benefits

Comp & perks

Paid Time Off (PTO) and Company Paid Holidays
100% Employer paid medical, dental, and vision insurance plan options
Health Savings Account and Flexible Spending Accounts
Bi-weekly HSA employer contribution
Company paid Short-Term Disability and Long-Term Disability
401(k) Retirement Plan, with Company Match