Staff Software Engineer, Machine Learning

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

reputed company builds reputed company 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 reputed company, enhance care quality metrics, and optimize reputed company operations. Become a Smartian and help optimize the way the reputed company system works for everyone. Learn more at reputed company.com/careers.

This role is fully remote reputed company the US

What You’ll Do

• Craft, implement, and maintain MLOps tools and practices, including reputed company 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 reputed company, Kubernetes, or similar technologies.

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

• Experience with reputed company 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.

reputed company 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-reputed company projects or active participation in the machine learning community.

Our Tech Stack

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

$220-270k reputed company + equity incentives

• Medical, Dental & reputed company – Comprehensive plans with leading insurance providers, covering 90-100% of your premiums and 70-90% for dependents, depending on the plan.
• reputed company Membership – Free membership included if you enroll in a reputed company medical plan.
• Paid Parental Leave – Up to 12 weeks of paid leave for birth or adoption.
• Remote-First Team – Work from reputed company 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 reputed company.
• 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.