Staff Software Engineer, Machine Learning

Hidden Jobs; United States; Remote; USD 230,000 - 250,000; Full time

Benefits offered by this job

Remote-first within United States

Medical, dental, and vision coverage

Paid parental leave

Unlimited PTO

401(k) with 4% match

Job summary

smarterdx is offering a fully remote U.S.-based Staff Machine Learning Engineer role to lead the design and scaling of a clinical AI platform that interprets electronic health record data and surfaces revenue-cycle recommendations.

The position blends hands-on ML engineering with technical leadership, emphasizing reliable production systems, reusable architecture, and streamlined developer experience across multiple product lines.

Qualifications

• 10+ years of professional development experience with a focus on machine learning engineering.
• Strong proficiency in Python and SQL, plus hands-on experience with PyTorch or TensorFlow.
• Demonstrated ownership of the end-to-end production model lifecycle, including deployment and monitoring.

Responsibilities

• Build and scale machine-learning-driven features that support clinical decisioning across multiple products
• Design reusable architecture and shared infrastructure that accelerates ML development organization-wide
• Set and uphold standards for software and ML practices, including code quality, deployment discipline, and observability
• Mentor engineers and influence cross-disciplinary teams to adopt modern ML development practices
• Manage the full production model lifecycle, from training through deployment, release, and post-launch monitoring
• Coordinate delivery using agile methodologies and contribute to project planning for small engineering teams

Skills

Python

SQL

PyTorch

TensorFlow

Cloud AWS

ML lifecycle

Cross-functional leadership

Tools

Airflow

Snowflake

dbt

Terraform

Kubernetes

SageMaker

Job description

Role overview

A fully remote U.S.-based opportunity for a Staff Machine Learning Engineer to lead the design and scaling of a clinical AI platform used by health systems to interpret electronic health record data and surface revenue-cycle recommendations. The role blends hands-on ML engineering with technical leadership, focusing on reliable production systems, reusable architecture, and developer experience across multiple product lines.

Responsibilities

• Build and scale machine-learning-driven features that support clinical decisioning across multiple products


• Design reusable architecture and shared infrastructure that accelerates ML development organization-wide


• Set and uphold standards for software and ML practices, including code quality, deployment discipline, and observability


• Mentor engineers and influence cross-disciplinary teams to adopt modern ML development practices


• Manage the full production model lifecycle, from training through deployment, release, and post-launch monitoring


• Coordinate delivery using agile methodologies and contribute to project planning for small engineering teams

Requirements

• 10+ years of professional development experience with a focus on machine learning engineering


• Strong proficiency in Python and SQL, plus hands-on experience with PyTorch or TensorFlow


• Demonstrated ownership of the end-to-end production model lifecycle, including deployment and monitoring


• Experience integrating ML into product features alongside diverse, cross-functional teams


• Working knowledge of a major cloud platform (AWS preferred) and its managed ML services


• Solid grasp of data engineering and architecture principles, with strong collaboration and communication skills

Nice to have

• Background as a startup founder or first engineering hire


• Familiarity with health tech, hospital billing, or revenue cycle workflows


• Experience deploying large language model systems into production


• Open-source contributions or active participation in the ML community

Benefits and work setup

• Base salary range of $230,000 to $250,000


• Remote-first within the United States


• Medical, dental, and vision coverage with employer contribution toward premiums


• Up to 12 weeks of paid parental leave
  
• Unlimited PTO plus 11 company holidays
  
• 401(k) with traditional and Roth options and a 4% match
  
• Engineering stack includes Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, SageMaker, Terraform, and Kubernetes