Staff Software Engineer, Machine Learning

SmarterDx; United States; Remote; USD 220,000 - 270,000; Full time

Job summary

A leading health tech company is seeking a Staff Machine Learning Engineer to build a world-class ML ecosystem. This fully remote role requires 10+ years of experience in MLOps and strong skills in Python and SQL. Benefits include comprehensive health insurance, unlimited PTO, and a sizeable learning budget. Join a fast-moving team dedicated to impactful solutions.

Benefits

Medical, Dental & Vision insurance

Paid Parental Leave

Unlimited PTO & 10 Holidays

Learning & Development Budget

401(k) options

$400 home office reimbursement

Qualifications

• 10+ years of development experience with a focus on Machine Learning and MLOps.
• Strong proficiency in Python and SQL.
• Experience with deploying and managing ML models in production.

Responsibilities

• Craft, implement, and maintain MLOps tools and practices.
• Optimize model performance and scalability.
• Build tools to improve the lives of data scientists.

Skills

Python

SQL

Machine Learning (MLOps)

Docker

Kubernetes

Cloud Platforms (AWS)

Agile Methodology

Infrastructure as Code

Data Engineering

Tools

PyTorch

TensorFlow

MLflow

Terraform

Snowflake

Job description

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.

Learn more at smarterdx.com/careers.

This role is fully remote within the US.

What You’ll Do

• Craft, implement, and maintain MLOps tools and practices, including continuous integration, delivery, and monitoring of machine learning systems.
• Optimize model performance and scalability, ensuring high reliability and efficiency.
• Build tools to improve the lives of our data scientists.
• Contribute to the design and architecture of our ML systems.

What You Bring

• 10+ years of development experience with a focus on Machine Learning and MLOps roles

• Strong proficiency in Python and SQL, with experience in machine learning libraries (Pytorch, Tensorflow)

• Experience with deploying and managing ML models in production environments, including familiarity with Docker, Kubernetes, or similar technologies.

• Understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines.

• 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

• Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools.

• 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

$220-270k base + equity incentives

Benefits

• Medical, Dental & Vision– Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan.
• One Medical Membership– Free membership included if you enroll in a SmarterDx medical plan.
• Paid Parental Leave– Up to 12 weeks of paid leave for birth or adoption.
• Remote-First Team– Work from anywhere in the U.S. with a $400 home office reimbursement stipend.
• Unlimited PTO & 10 Holidays– 4 of which include floating holidays so you can recognize the days that matter most to you.
• Learning & Development Budget– $500 per year (prorated) for courses, books, and resources to expand your skills.
• 401(k) with Traditional & Roth Options– Tax-advantaged retirement savings through Empower.
• Minimal Bureaucracy– A fast-moving, high-impact environment where you can focus on what matters.
• Incredible Teammates!– Work alongside smart, supportive, and mission-driven colleagues.