SmarterDx

SmarterDx

Staff Software Engineer, Machine Learning

Remote (United States) · Staff+

Sponsorship not specified$230k-$250kDetected 2 days ago
PythonSQLSnowflakeAWSCloud PlatformsKubernetesTerraformMachine LearningTensorFlowPyTorchPandasAirflowdbtData EngineeringLLMsAgileEHR/EMRPatient CareCommunicationCollaboration

About the role

  • SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered.

Responsibilities

  • The ideal candidate works exceptionally well across disciplines and delivers high quality outcomes continuously, with a relentless focus on reliable systems and developer experience.

Requirements

  • Experience with managing the full model production lifecycle, including deployment, release, and post-launch monitoring
  • Experience project managing a small team using a modern agile methodology
  • Strong understanding of data engineering and architecture principles.

Compensation

  • $230-250k base salary

Benefits

  • Medical, Dental & Vision - Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.
  • Paid Parental Leave -
  • Unlimited PTO & 10 Holidays - So you can relax and recharge.
  • 401(k) with Traditional & Roth Options - Tax-advantaged retirement savings through Fidelity with a 4% match.
  • As a Smartian, you'll help build technology that makes healthcare more accurate, sustainable, and effective for everyone.
  • We are looking for a Staff Machine Learning Engineer to help us build a best in class ML Ecosystem to advance our product suite with clinical AI.
  • Build and scale machine-learning driven features across multiple products
  • Design reusable architecture that powers and accelerates machine learning development across the company
  • 10+ years of development experience with a focus on Machine Learning and Engineering roles
  • Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)
  • Experience working with a diverse, cross-disciplinary team to integrate machine learning into product features

This listing is sourced directly from SmarterDx's careers page and normalized into a canonical job model.