Staff Software Engineer, Machine Learning

Join SmarterDx as a Staff Machine Learning Engineer – Build the Future of Clinical AI!

About SmarterDx

Imagine a healthcare system optimized for everyone. At SmarterDx, we’re making that vision a reality. Founded by physicians, we leverage cutting-edge clinical AI to empower hospitals to accurately capture the value of care they deliver. Our proprietary platform understands the intricacies of clinical reasoning, allowing hospitals to improve revenue, enhance care quality, and streamline operations.

We’re seeking a passionate and experienced Staff Machine Learning Engineer to join our growing team. If you’re driven by building reliable systems and enhancing developer experience, all while having a direct impact on the healthcare industry, we want to hear from you. As a Smartian, you’ll contribute to optimizing the way healthcare works for everyone. Learn more about our mission and culture at smarterdx.com/careers.

This is a fully remote role based within the U.S.

What You’ll Do

As a Staff Machine Learning Engineer, you’ll play a pivotal role in building and scaling our best-in-class ML ecosystem. You will:

• Design, implement, and maintain robust MLOps tools and practices, including continuous integration, delivery, and monitoring for our machine learning systems.
• Optimize model performance and scalability, ensuring high reliability and efficiency across our platform.
• Develop and enhance tools that empower our data scientists, improving their productivity and overall workflow.
• Contribute significantly to the design and architecture of our evolving ML infrastructure.

What You Bring

We’re looking for someone with a strong blend of technical expertise, problem-solving skills, and a collaborative spirit. Ideally, you possess:

• 10+ years of hands-on software development experience, with a strong focus on Machine Learning and MLOps.
• Deep proficiency in Python and SQL, alongside practical experience with machine learning libraries like PyTorch or TensorFlow.
• Proven experience deploying and managing ML models in production environments, including familiarity with containerization (Docker), orchestration (Kubernetes), or similar technologies.
• A strong understanding of CI/CD best practices for machine learning, including automated testing and deployment pipelines.
• Hands-on experience with cloud platforms (preferably AWS) and their machine learning services.
• Experience project managing a small team using a modern agile methodology.
• Experience influencing a cross-disciplinary organization to adopt best practices.
• Familiarity with infrastructure as code (e.g., CDK, Terraform) and configuration management tools.
• A solid grasp of data engineering and architecture principles.
• Exceptional collaboration and communication skills, with a genuine passion for tackling challenging problems within a team.

Bonus Points

While not required, we’d be especially excited if you have:

• Startup experience – either as a founder or early engineering hire.
• Experience in the health tech domain, particularly with hospital billing systems.
• Experience with the entire machine learning project lifecycle, from data acquisition and model training to deployment and monitoring.
• Experience deploying Large Language Models into Production environments.
• Contributions to open-source projects or active participation in the machine learning community.

Our Tech Stack

We leverage a modern and robust tech stack, including:

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

Compensation & Benefits

We offer a competitive compensation package and comprehensive benefits, including:

• Base salary range: $220,000 – $270,000 (dependent on experience) + equity incentives
• 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.

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