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Smarterdx
Staff Software Engineer, Machine Learning
engineeringfull-timeRemote (United States)
SALARY
$230k – $260k/yr
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
healthcare
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About the role
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.
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
- 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
$230-260k base salary
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.
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