Senior Machine Learning Engineer

ML Systems Development & Deployment

• →Lead the design and implementation of scalable, production-grade ML systems in cloud environments with a focus on performance, reliability, and reproducibility. 
• →Collaborate with product managers and senior stakeholders to define and prioritize ML initiatives aligned with business goals. 

Data Pipeline & Feature Engineering

• →Oversee the architecture and evolution of data pipelines for multi-terabyte datasets, ensuring efficiency and reliability.
• →Guide the development of high-impact features and label sets across diverse domains such as healthcare and consumer analytics

Experimentation & Model Management

• →Lead experimentation strategy, including design of A/B tests, advanced validation methods, and lifecycle management using tools like MLflow and Databricks.
• →Drive continual model improvement through advanced techniques such as automated retraining, model decay analysis, and bias mitigation. Innovation & Prototyping
• →Champion rapid prototyping and proof-of-concept development to evaluate emerging technologies and ML techniques.
• →Lead technical explorations into new ML architectures (e.g., foundation models, causal inference, time series deep learning).

Cross-Functional Collaboration

• →Serve as a technical leader and trusted advisor, working closely with product, engineering, data, and executive teams to shape end-to-end ML solutions. Code Quality & Documentation
• →Set standards for code quality, performance, and documentation, and mentor junior engineers in best practices

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience).
• 5+ years of industry experience as an ML Engineer, Data Scientist, or Data Engineer, with a focus on deploying and scaling ML systems.
• Deep expertise in Python, SQL, and PySpark for distributed data processing, with proficiency in libraries like scikit-learn, PyTorch, and XGBoost.
• Proven experience designing robust ML pipelines, leveraging tools like MLflow or equivalent.
• Strong command of ML frameworks (e.g., scikit-learn, TensorFlow, XGBoost, PyTorch).
• Hands-on experience deploying models in cloud-based environments (AWS, GCP, Azure, and Databricks).
• Proven ability to manage end-to-end ML lifecycles at scale, including data ingestion, training, evaluation, deployment, and monitoring.
• Excellent communication skills and demonstrated ability to influence cross-functional teams.

• Experience working with healthcare claims, EHR, or life sciences datasets.
• Advanced degree (M.S. or Ph.D.) in Computer Science, Data Science, or related technical field.
• Strong knowledge of MLOps practices including CI/CD for ML, automated retraining, and model versioning.
• Experience with deep learning architectures for time series forecasting, sequential data, or hierarchical modeling.
• Proficient in designing evaluation protocols and defining performance metrics to rigorously assess model effectiveness and drive data-driven decision-making.
• Comfortable operating in fast-paced, high-ownership environments, and able to prioritize multiple high-impact projects

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• Definitive Cares, our community service group, gives all of us a chance to give back
• Competitive benefits package including great healthcare benefits and a 401(k) match

 “Great Work atmosphere, great work life balance, excellent company to work for, amazing top notch product, incredible customer service, lots of tools to help you succeed.”

-Business Development Manager

“Great team. Amazing growth. Employees are treated very well.”

-Research Analyst

“I have waited 36 years to work at a dream job for a dream company and I am so happy to have finally got there.”

-Profile Analyst

If you are a California, Colorado, New York City or Washington resident and this role is a remote role, you can receive additional information about the compensation and benefits for this role, which we will provide upon request.

Definitive Healthcare is an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, religion, age, gender, gender identity, sexual orientation or any other status. If you’re interested in working in a fast growing, exciting working environment – we encourage you to apply!

Privacy 
Your privacy is important to us. Please review our Candidate Privacy Notice which tells you how we use and process your personal information.

Please note: All communications regarding the hiring process at Definitive Healthcare will come directly from one of our corporate recruiters or coordinators using an @definitivehc.com email address. We do not advertise open roles on Facebook and will never request money transfers or ask candidates to purchase equipment with a promise of reimbursement. If you receive any suspicious communication, please contact careers@definitivehc.com to verify your status in the application process.