Senior Software Engineer, ML Engineering

SmarterDx; United States; Remote; USD 180,000 - 230,000; Full time

Job summary

Ein innovatives Unternehmen sucht einen Senior Machine Learning Engineer, der die klinische KI vorantreibt und die Entwicklung von Modellen unterstützt. Diese spannende Rolle umfasst die Bereitstellung und Wartung von ML-Modellen in Produktionsumgebungen sowie die enge Zusammenarbeit mit Data Scientists und Ingenieuren. Wenn Sie leidenschaftlich daran interessiert sind, die Gesundheitsversorgung durch Technologie zu optimieren und in einem dynamischen, remote-freundlichen Umfeld arbeiten möchten, dann ist diese Gelegenheit ideal für Sie. Werden Sie Teil eines Teams, das die Zukunft des Gesundheitswesens gestaltet!

Benefits

Medical, Dental & Vision Insurance

One Medical Membership

Paid Parental Leave

Home Office Reimbursement

Unlimited PTO & 10 Holidays

Learning & Development Budget

401(k) with Traditional & Roth Options

Minimal Bureaucracy

Incredible Teammates

Qualifications

• 5+ Jahre Erfahrung in Machine Learning Engineering oder MLOps-Rollen.
• Starke Kenntnisse in Python, SQL und ML-Bibliotheken wie PyTorch und TensorFlow.

Responsibilities

• Bereitstellung und Wartung von Machine Learning-Modellen in Produktionsumgebungen.
• Zusammenarbeit mit Data Scientists und Ingenieuren zur Integration von ML-Modellen.

Skills

Machine Learning Engineering

Python

SQL

MLOps

Data Manipulation

Collaboration

Tools

PyTorch

TensorFlow

Docker

Kubernetes

AWS

Terraform

Airflow

Snowflake

MLflow

Job description

Role

We are looking for a Senior Machine Learning Engineer to help us advance our clinical AI and support rapid model experimentation and development. The ideal candidate works exceptionally well across disciplines and delivers high quality outcomes continuously.

SmarterDx builds clinical AI that empowers hospitals to analyze the complete record of every patient to fully capture the value of care delivered. Founded by physicians in 2020, its proprietary AI platform understands the nuances of clinical reasoning, enabling hospitals to true the patient record for every discharge. By doing so, hospitals can recover millions in earned revenue, enhance care quality metrics, and optimize healthcare operations. Become a Smartian and help optimize the way the healthcare system works for everyone. Learn more at smarterdx.com/careers.

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

What You’ll Do

• Deploy and maintain machine learning models and pipelines in production environments.
• Work closely with data scientists, data engineers, and application engineers to integrate ML models into the broader SmarterDx platform.
• 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

• 5+ years of experience in machine learning engineering or MLOps roles
• Strong proficiency in Python and SQL, with experience in machine learning libraries (e.g. PyTorch, Tensorflow) and data manipulation (e.g., pandas, Polars, SQL).
• 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.
• 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

• 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.
• Previous work in the healthcare sector or related fields.

Our Tech Stack

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

Compensation

$180-230k 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.