[Remote] Machine Learning Engineer at Definitive Healthcare

Remote

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field (or equivalent practical experience)
2–5 years of industry experience in ML Engineering, Data Science, or Data Engineering
Proficiency in Python, SQL, and PySpark, with experience using libraries such as scikit-learn, PyTorch, and XGBoost
Experience building ML pipelines and working with tools like MLflow or similar
Familiarity with cloud platforms (AWS, GCP, Azure) and deploying models in production environments
Strong communication skills and ability to work effectively in cross-functional teams
(Preferred) Experience with healthcare claims, EHR, or life sciences

Responsibilities

Contribute to the design and implementation of scalable ML systems in cloud environments, focusing on performance and reliability
Collaborate with product managers and engineering teams to support ML initiatives aligned with business goals
Help build and maintain data pipelines for large-scale datasets, ensuring efficiency and reproducibility
Develop meaningful features and label sets across domains such as healthcare and consumer analytics
Support experimentation efforts, including A/B testing, validation strategies, and model lifecycle management using tools like MLflow and Databricks
Assist in improving model performance through retraining, monitoring, and bias mitigation techniques
Participate in prototyping and proof-of-concept development to explore new ML techniques and technologies
Stay current with emerging ML architectures and methodologies
Work closely with product, engineering, and data teams to deliver integrated ML solutions
Contribute to documentation and uphold code quality standards

Skills

Key technologies and capabilities for this role

Machine LearningAIML SystemsData PreparationModelingDeploymentCloud EnvironmentsSoftware EngineeringScalable ModelsProduction ML

Questions & Answers

Common questions about this position

What is the salary range for the Machine Learning Engineer position?

This information is not specified in the job description.

Is this Machine Learning Engineer role remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for the Machine Learning Engineer role?

The role requires hands-on experience in applied machine learning, strong software engineering skills, and familiarity with tools like MLflow and Databricks for model management, along with skills in data pipeline development, feature engineering, and cloud-based ML deployment.

What is the company culture like at Definitive Healthcare?

Definitive Healthcare fosters a collaborative, inclusive culture where diverse perspectives drive innovation, supported by programs like DefinitiveCares and employee-led affinity groups to promote connection, education, and inclusion.

What makes a strong candidate for the Machine Learning Engineer position?

A strong candidate has hands-on experience in applied machine learning, strong software engineering skills, a passion for building scalable production-ready models, and the ability to collaborate across teams on end-to-end ML solutions.

Definitive Healthcare

Healthcare data analytics and commercial intelligence

About Definitive Healthcare

Definitive Healthcare provides healthcare commercial intelligence by gathering and analyzing data to assist businesses in the healthcare sector. Their services are aimed at clients such as biopharmaceutical companies, medical device manufacturers, and healthcare providers, helping them make informed decisions. The company offers subscription-based access to a comprehensive database and analytics tools, allowing clients to identify market opportunities and understand competitive landscapes. This model is scalable, catering to both large enterprises and smaller organizations. Definitive Healthcare differentiates itself through its focus on actionable intelligence that accelerates commercial success for its clients. Additionally, the company fosters a positive workplace culture, emphasizing diversity, equity, and inclusion, and providing comprehensive employee benefits.

Framingham, MassachusettsHeadquarters

2011Year Founded

$9.1MTotal Funding

IPOCompany Stage

Data & Analytics, HealthcareIndustries

501-1,000Employees

Benefits

Health Insurance

401(k) Company Match

Flexible Work Hours

Risks

Integration of Populi acquisition may disrupt service delivery and client satisfaction.

Strategic shifts under new CEO may not align with current client expectations.

Resource allocation for new products may impact quality of existing services.

Differentiation

Definitive Healthcare offers a unique SaaS platform for healthcare commercial intelligence.

The company provides tailored solutions for biopharma, medtech, and healthcare providers.

Their subscription model allows scalable access to comprehensive data and analytics tools.

Upsides

Growing demand for healthcare data analytics boosts Definitive Healthcare's market potential.

New CEO Kevin Coop brings extensive experience in data-focused business growth.

Recent product launches like Monocl Conferences and Carevoyance expand service offerings.

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