When it comes to culture, we don’t put much stock in having a lot of snacks or a ping-pong table. At Anaconda, culture is about how we treat one another and collaborate. Our values will tell you a lot about what it’s like to work here: Ability and Humility Empathy and Connection Innovation and Action These values inform how we relate to one another, to our customers, our partners, and our community. Living these values every day is at the heart of everything we do. Working at Anaconda will help you grow - as a professional and as a person. Icing on the cake 🍰 You’ll love working here because of our impact on our customers and the open-source community, but it never hurts to have good benefits too. We do have some cool perks, but most of us love working here because we’re close to some of the coolest and most meaningful innovation happening in technology today. At Anaconda, we put employees first. Check out some of the benefits you will receive after you join the team. Flexible working policy - we focus on results Medical, dental, vision, HSA, life insurance and 401K Fitness membership or reimbursement Paid parental leave for both moms and dads Open vacation policy Pre-IPO stock options Monthly “Ask Me Anything” sessions with senior leadership Employee recognition - annual Ana-CAN-DO awards Open door policy - transparency comes first and all ideas matter Diversity and inclusion 👍🏽👍🏿👍 We prioritize diversity and inclusion in our community and in our hiring. We’re better together, and our differences improve everything we do. Diverse teams get better outcomes, so we don’t settle for less when it comes to building them. Our D&I Council is an active group focusing on this issue, but embracing diversity and practicing inclusion is a company-wide priority and our preferred way of working together. Anaconda 4All internship 🧑🏽💻👩🏾💻 Our internship program, Anaconda 4All, brings diverse university students into Anaconda for both technical and non-technical opportunities for work experience. The program provides paid 10-week summer internships to qualified students who come from underrepresented groups, and concludes with a presentation to our executive team. In addition to valuable work experience, Anaconda 4All interns receive coaching on job search tactics, interview practice opportunities, and resume building. Check out open internship opportunities in the openings section!
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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, but we have 3 office locations globally, including locations in Sweden, and India. We’ve grown significantly since our founding in 2011 and have expanded our global client base to 2,400+.
We’re also a great place to work. In 2024, we brought home a number of awards including Built In’s 100 Best Places to Work in Boston, a Stevie Bronze Award for Great Employers, and we were recognized 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 we strive to promote connection, education, and inclusion.
Machine Learning Engineer
We are looking for a Machine Learning Engineer to help design and implement AI/ML systems that drive meaningful business outcomes. In this role, you’ll contribute to the development of end-to-end ML solutions—from data preparation and modeling to deployment and performance optimization.
Your work will directly impact customer experience and operational efficiency. The ideal candidate has hands-on experience in applied machine learning, strong software engineering skills, and a passion for building scalable, production-ready models. This is a high-impact role that blends research and engineering, with opportunities to grow and collaborate across teams.
What You’ll Do
ML Systems Development & Deployment
- 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.
Data Pipeline & Feature Engineering
- 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.
Experimentation & Model Management
- 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.
Innovation & Prototyping
- Participate in prototyping and proof-of-concept development to explore new ML techniques and technologies.
- Stay current with emerging ML architectures and methodologies.
Cross-Functional Collaboration
- Work closely with product, engineering, and data teams to deliver integrated ML solutions.
- Contribute to documentation and uphold code quality standards.
What You'll Need
Required Qualifications
- 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 Qualifications
- Experience with healthcare claims, EHR, or life sciences datasets.
- Exposure to MLOps practices such as CI/CD for ML, model versioning, and automated retraining.
- Familiarity with deep learning techniques for time series or sequential data.
- Ability to define performance metrics and evaluate model effectiveness.
Compensation and Benefits
The salary range for this position is $112,000.00 - $210,000.00 per year, which represents the base pay the company reasonably and in good faith expects to pay for this role. Actual pay within this range will be determined based on factors such as relevant experience, skills, and qualifications.
Depending on the position, employees may also be eligible to participate in a company bonus or commission plan. All employees are eligible for a comprehensive benefits package, including medical, dental, and vision coverage, unlimited paid time off, and participation in the company’s 401(k) plan with employer contribution.
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 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 with an @definitivehc.com email address. We will never request any money transfer or purchase of equipment with a promise of reimbursement. If you receive any suspicious communications, please reach out to [email protected] to confirm your status in the application process.