Definitive Healthcare
Senior Machine Learning Engineer
Definitive Healthcare, Myrtle Point, Oregon, United States, 97458
Overview
About Definitive Healthcare At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact. We’re headquartered in Framingham, Massachusetts, with 3 office locations globally, including locations in Sweden and India. Since our founding in 2011, we have expanded our global client base to 2,400+. We are a great place to work and earned awards in 2024, including Built In’s 100 Best Places to Work in Boston, a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India. We foster a collaborative, inclusive culture where diverse perspectives drive innovation through programs like DefinitiveCares and our employee-led affinity groups, promoting connection, education, and inclusion. We are seeking a Senior Machine Learning Engineer to lead the design and implementation of cutting-edge AI/ML systems that deliver transformative business outcomes. This role takes ownership of end-to-end ML solutions, from architecture and modeling to production and performance optimization. From architecting end-to-end ML solutions to shaping technical strategy, your work will impact customer experience and operational efficiency. The ideal candidate brings extensive experience in applied machine learning, deep software engineering expertise, and a track record of mentoring teams and delivering production-ready models at scale. This is a high-impact, full-stack ML role that blends research, engineering, and leadership, with the opportunity to shape both the company’s technical foundation and product direction. Responsibilities
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. 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 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 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. Required Qualifications
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. Preferred Qualifications
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. Why we love Definitive, and why you will too!
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 What our Employees are saying about us on Glassdoor:
“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 don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter. 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 Hiring Philosophy
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 privacy notice which tells you how we use and process your personal information. We will never request money transfers or purchase of equipment with a promise of reimbursement. If you receive any suspicious communications, please reach out to careers@definfitivehc.com to confirm your status in the application process.
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About Definitive Healthcare At Definitive Healthcare (NASDAQ: DH), we’re passionate about turning data, analytics, and expertise into meaningful intelligence that helps our customers achieve success and shape the future of healthcare. We empower them to uncover the right markets, opportunities, and people—paving the way for smarter decisions and greater impact. We’re headquartered in Framingham, Massachusetts, with 3 office locations globally, including locations in Sweden and India. Since our founding in 2011, we have expanded our global client base to 2,400+. We are a great place to work and earned awards in 2024, including Built In’s 100 Best Places to Work in Boston, a Stevie Bronze Award for Great Employers, and recognition as a Great Place to Work in India. We foster a collaborative, inclusive culture where diverse perspectives drive innovation through programs like DefinitiveCares and our employee-led affinity groups, promoting connection, education, and inclusion. We are seeking a Senior Machine Learning Engineer to lead the design and implementation of cutting-edge AI/ML systems that deliver transformative business outcomes. This role takes ownership of end-to-end ML solutions, from architecture and modeling to production and performance optimization. From architecting end-to-end ML solutions to shaping technical strategy, your work will impact customer experience and operational efficiency. The ideal candidate brings extensive experience in applied machine learning, deep software engineering expertise, and a track record of mentoring teams and delivering production-ready models at scale. This is a high-impact, full-stack ML role that blends research, engineering, and leadership, with the opportunity to shape both the company’s technical foundation and product direction. Responsibilities
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. 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 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 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. Required Qualifications
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. Preferred Qualifications
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. Why we love Definitive, and why you will too!
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 What our Employees are saying about us on Glassdoor:
“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 don’t fit all of these qualifications, but believe you’re still a great fit, feel free to apply and tell us why in your cover letter. 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 Hiring Philosophy
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 privacy notice which tells you how we use and process your personal information. We will never request money transfers or purchase of equipment with a promise of reimbursement. If you receive any suspicious communications, please reach out to careers@definfitivehc.com to confirm your status in the application process.
#J-18808-Ljbffr