Staff Software Engineer, Machine Learning

About this role

SmarterDx is transforming how health systems use clinical AI to capture the full value of patient care delivered. Built by physician-data scientists and trained on clinically-validated EHR data, our clinical AI platform interprets the nuances behind every patient story and makes clinically-sound recommendations for revenue cycle teams — helping hospitals recover earned revenue, improve quality metrics, reduce denials, and streamline revenue cycle operations. As a Smartian, you’ll help build technology that makes healthcare more accurate, sustainable, and effective for everyone. Learn more at smarterdx.com/careers.

Role

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

**This role is fully remote within the US**

What You’ll Do

• Build and scale machine-learning driven features across multiple products

• Design reusable architecture that powers and accelerates machine learning development across the company

• Set the standard for development and ML practices at SmarterDx and mentor other engineers

What You Bring

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You Bring

• 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 with managing the full model production lifecycle, including deployment, release, and post-launch monitoring

• Experience working with a diverse, cross-disciplinary team to integrate machine learning into product features

• Experience with cloud platforms (preferably AWS) and their machine learning services.

• Experience project managing a small team using a modern agile methodology

• Experiencing influencing a cross-disciplinary organization to adopt best practices

• Strong understanding of data engineering and architecture principles.

• Excellent collaboration and communication skills, with a passion for solving challenging problems in a team environment.

Nice To Haves

• You're a former startup founder, or have been the first engineering hire at a startup

• Experience in the health tech domain, particularly in hospital billing systems

• Experience with end-to-end machine learning project lifecycle, from data collection and model training to deployment and monitoring.

• Deployment of LLM systems into Production environments.

• Contributions to open-source projects or active participation in the machine learning community.

Our Tech Stack

• Python, PyTorch, pandas/Polars, Airflow, Snowflake, dbt, AWS, MLflow, Sagemaker, Terraform, K8s

Compensation

$230-250k base salary

#LI-Remote

Benefits

• Medical, Dental & Vision – Comprehensive plans with leading insurance providers, covering 75% of your premiums, depending on the plan.

• Paid Parental Leave – Generous paid leave to support families through birth or adoption: Up to 12 weeks for parents.

• Remote-First Team – Work from anywhere in the U.S.

• 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.

• Minimal Bureaucracy – A fast-moving, high-impact environment where you can focus on what matters.

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