Tebra · 8 hours ago
Staff Machine Learning Engineer
United States
Full-time
Remote
Lead/Staff
$200K/yr - $228K/yr
8+ years expTebra is a digital backbone for practice well-being, aiming to unlock better healthcare for independent practices. The Staff Machine Learning Engineer will design and operate advanced machine learning systems, leading the entire lifecycle from data exploration to production deployment, while also mentoring other engineers in applied ML methods.
Electronic Health Record (EHR)Health CareMedical
Responsibilities
Design, build, and operate scalable ML pipelines for data ingestion, feature generation, model training, evaluation, deployment, and monitoring
Own the end-to-end ML lifecycle, including data exploration, feature engineering, model design, validation, and productionization
Continuously monitor model performance in production, detect drift, and implement automated retraining pipelines to ensure accuracy and reliability over time
Leverage advanced ML techniques — from gradient boosting to large language models — to improve automation and prediction across claims, payments, and billing workflows
Conduct in-depth data analysis and experimentation to identify new opportunities for model-driven efficiency
Collaborate cross-functionally with engineering, product, and data teams to integrate AI capabilities directly into Tebra’s platform
Establish best practices for model governance, reproducibility, explainability, and observability within regulated healthcare environments
Lead and mentor engineers in applied ML methods, system design, and data-driven experimentation
Qualification
Required
8+ years of professional software engineering experience, including system design, large-scale services, and production-grade infrastructure
5+ years of hands-on experience in machine learning engineering or applied AI, with a strong record of deploying and maintaining models in production
Demonstrated ability to deliver significant, measurable real-world impact through applied ML — improving efficiency, automation, or business outcomes
Proficiency in Python, TensorFlow/PyTorch, and scikit-learn
Hands-on experience with data analysis, feature engineering, and model development on large, complex datasets
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 LLMs or generative models for structured business processes
Experience with retrieval-augmented pipelines or feedback-driven model retraining
Experience working with structured business or healthcare data is a plus
Excellent technical communication and a product mindset — comfortable driving initiatives from concept to delivery
Preferred
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
Benefits
Discount through Dell
Gympass for a great workout
Telus Employee Assistance Program to find mental health resources
Company
Tebra
Tebra provide independent healthcare practices with digital tools and support to thrive in a new era of healthcare.
501-1000 employees
H1B Sponsorship
Tebra has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2023 (5)
2022 (3)
Funding
Current Stage
Late StageTotal Funding
$387MKey Investors
Hildred CapitalJP MorganGolub Capital
2025-12-17Series Unknown· $250M
2025-12-17Debt Financing
2022-07-07Series B· $72M
Leadership Team
Dan Rodrigues
CEO, Co-Founder
Kevin Marasco
Chief Growth Officer
Recent News
alleywatch.com
2025-12-24
2025-12-24
Company data provided by crunchbase