United States onlyTebra only initiates contact with candidates via email from an official Tebra email address (@tebra.com, @patientpop.com, or @kareo.com) or through our applicant tracking system, Greenhouse. We will only ask you to provide sensitive personal information through our official application portal — not via social media or text message. We do not conduct interviews via instant messaging.
About the Role
As a Senior Machine Learning Engineer, you will build, deploy, and optimize the machine learning services that power the Tebra platform. You will be the primary builder of robust ML subsystems, translating high-level requirements into production-ready code.
This is a hands-on role where you will focus on the reliability, speed, and scalability of our AI solutions. You will take ownership of specific model pipelines, ensuring they are efficient, testable, and maintainable.
Your Area of Focus
- Write high-quality, production-grade software for data ingestion, feature extraction, and model inference, specifically focusing on optimizing code for latency, throughput, and resource efficiency.
- Implement robust CI/CD pipelines, automated testing, and comprehensive logging/monitoring for the models you deploy to ensure immediate detection of issues.
- Construct and maintain specific data pipelines required for training and inference, ensuring data quality and consistency at the component level.
- Develop reusable software modules and utilities that streamline the development process for the wider team, while championing clean code and test-driven development.
- Translate business requirements into technical specifications and execute them with precision, serving as an expert at breaking down complex tasks into deliverable units.
- Monitor the daily performance of production models, debug incidents, and execute routine retraining workflows to address data drift.
- Partner with Engineering team members and Product Managers to estimate effort, flag technical risks, and deliver features on schedule.
Your Professional Qualifications
- 5+ years of professional software development experience including system design, large-scale services, and production-grade infrastructure.
- 3+ years of hands-on experience in machine learning engineering or applied AI, with a strong record of deploying and maintaining models in production.
- Technical subject matter expertise in 3+ general areas of software development (e.g., server, database, security, etc) including machine learning infrastructure.
- Demonstrated ability to deliver significant, measurable real-world impact through applied ML.
- Proven ability to design and write modular, performant, and easy to read software that solves complex business problems.
- Proficiency in Python, TensorFlow/PyTorch, and scikit-learn.
- Strong background in MLOps and data infrastructure (e.g., Airflow, Spark, feature stores, MLflow, data versioning).
- Proven ability to deploy and maintain ML models in production with CI/CD, monitoring, and alerting.
- Familiarity with cloud ML environments (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
- Experience building or fine-tuning Large Language Models (LLMs)or generative models for structured business processes.
- Experience with retrieval-augmented pipelines or feedback-driven model retraining.
- Excellent technical communication and a product mindset—comfortable driving initiatives from concept to delivery.
Bonus Points
- Background in healthcare software operations, or financial automation.
- Contributions to open-source ML infrastructure projects.
- Published research or conference papers in machine learning, natural language processing, or applied AI
- Experience leading AI reliability and observability initiatives — designing monitoring frameworks, drift detection, and alerting systems for multiple production models.
(For Recruiter use only)
We are dedicated to attracting and retaining top talent with competitive and fair compensation. For this position, this range reflects our Zone 1 (National Average) pay band. Your specific compensation is thoughtfully determined by your experience, qualifications, the specific requirements of the role, and your Geo Zone. Our geo-zone system ensures your pay is competitive for your location, recognizing varying costs of labor across regions.
Our four geo zones are designed to reflect this:
Zone 1: National Average
Zone 2: Moderately Higher Cost Regions
Zone 3: High-Cost Regions
Zone 4: Lower-Cost Regions
Beyond base compensation, Tebra offers eligible employees the opportunity for variable pay and a robust benefits package, reflecting our commitment to your overall well-being. In compliance with California pay transparency laws, the specific compensation range applicable to your Geo Zone will be shared during your initial talent screen.
About Tebra
Kareo and PatientPop have joined forces to become Tebra, the digital backbone for practice well-being. While our teams are still supporting both products, our new hires and current employees are now united as Team Tebra.
Tebra aims to unlock better healthcare by helping independent practices bring modernized care to patients everywhere. Well over 100,000 providers trust Tebra to elevate their patient experience, and help them grow their practice. At Tebra, we’re building the future of well-being together. That shared vision for tomorrow begins with compassion and humanity today.
Our Values
Start with the Customer
We get to know our customers - and their patients - and look at the world through their lens.
Keep It Simple
Healthcare is too complex. We aim to simplify it for everyone.
Stay Entrepreneurial
We reject the status quo and solve problems with creativity, perseverance, and a bias to action.
Better Together
We are diverse, humble, and collaborative. We put the team first and win together.
Celebrate Success
Life is short and joy is underrated. We take time to have fun and celebrate success.
Perks & Benefits
United States: In addition to our healthcare benefits, we also offer amazing perks! Need work from home basics? We offer a discount through Dell! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for a great workout, or TelusEmployee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
Costa Rica: To assist with all of life’s needs, Tebra also offers a wellness and childcare subsidy and a University/Education discount! We also offer a number of resources to help you keep your mind and body healthy. Check out Gympass for access to health and fitness apps, or Telus Employee Assistance Program to find mental health resources, along with other resources for everyday occurrences.
Compliance & Privacy Disclosures
NOTE: Tebra is an equal opportunity employer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
California residents who apply or are recruited for a job with us: please carefully review our California-specific Privacy Notice under the California Consumer Protection Act here: https://www.tebra.com/privacy-policy/california-supplemental-notice/
If you would like to report a fraudulent Tebra job posting, please contact us at talentacquisition@tebra.com and consider reporting your experience to the FBI's Internet Crime Complaint Center or the Better Business Bureau to help keep others safe online, too.
As part of our commitment to a fair and efficient hiring process, Tebra utilizes BrightHire, an interview intelligence platform, for our phone and video screenings. This technology records and transcribes interviews to help us ensure consistency, reduce bias, and make more informed hiring decisions. By applying for this position, you acknowledge that your interview may be recorded.
