Tebra

We empower independent practices to bring modernized care to patients everywhere.

Senior Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

36 days ago

Salary

$159.5K - $182K / year

Bachelor Degree5 yrs expEnglishAirflowAWSAzureCloudGoogle Cloud PlatformPythonPy TorchScikit LearnSparkTensorflow

Job Description

• Build, deploy, and optimize the machine learning services that power the Tebra platform • Write high-quality, production-grade software for data ingestion, feature extraction, and model inference • Implement robust CI/CD pipelines, automated testing, and comprehensive logging for deployed models • Construct and maintain specific data pipelines for training and inference • Develop reusable software modules and utilities to streamline the development process • Translate business requirements into technical specifications • Monitor the daily performance of production models and debug incidents

Job Requirements

  • 5+ years of professional software development experience
  • 3+ years of hands-on experience in machine learning engineering or applied AI
  • Technical subject matter expertise in 3+ general areas of software development
  • 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
  • Proficiency in Python, TensorFlow/PyTorch, and scikit-learn
  • Strong background in MLOps and data infrastructure (e.g., Airflow, Spark)
  • Proven ability to deploy and maintain ML models in production
  • Familiarity with cloud ML environments (AWS, GCP, or Azure)
  • Experience building or fine-tuning Large Language Models (LLMs)
  • Experience with retrieval-augmented pipelines or feedback-driven model retraining
  • Excellent technical communication and a product mindset

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options
  • Wellness programs
  • Childcare subsidies
  • University/Education discount

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