Staff Software Engineer, Machine Learning

SuperDial is seeking a Staff Software Engineer to drive the design and implementation of machine learning systems and large language model applications that transform healthcare operations. This role is ideal for an experienced engineer who thrives on applying cutting-edge AI to real-world problems, building scalable ML infrastructure, and delivering impactful solutions in a fast-moving startup environment. If you’re passionate about advancing healthcare innovation through AI, we’d love to hear from you!

About the Role:

• Design, build, and optimize ML-driven software systems, with a focus on deploying and fine-tuning LLMs for healthcare use cases.
• Develop scalable pipelines for data ingestion, preprocessing, training, evaluation, and deployment of ML models.
• Collaborate with product, engineering, and healthcare domain experts to design AI-first solutions for revenue cycle management and clinical workflows.
• Architect cloud-native ML infrastructure to ensure reliability, security, and efficiency in model training and serving.
• Lead critical projects end-to-end, from research and prototyping through production deployment and iteration.
• Establish best practices for ML/LLM development, including evaluation frameworks, monitoring, reproducibility, and responsible AI principles.
• Mentor engineers in applied ML/AI, contributing to a strong, inclusive, and innovative engineering culture.

About You:

• 5 years of software engineering experience, with at least 3 years working directly on applied ML systems or LLM-based applications.
• Strong programming skills in Python and familiarity with ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
• Experience with fine-tuning, prompt engineering, and deploying LLMs in production environments is a plus.
• Solid background in distributed systems, API design, and data-intensive architectures.
• Hands-on experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (Kubernetes).
• Understanding of modern MLOps practices, including CI/CD for ML, feature stores, monitoring, and reproducibility tools.
• Excellent communication skills, with the ability to work effectively across technical and non-technical teams.

Preferred Qualifications:

• Experience applying ML/LLMs in healthcare or other regulated industries, including familiarity with interoperability standards (FHIR, HL7).
• Knowledge of real-time systems, speech/voice models, or telephony platforms.
• Track record of building enterprise SaaS products powered by ML/AI.
• Awareness of ethical AI practices and experience implementing responsible AI guidelines in production.

What’s in it for you?

• The opportunity to apply cutting-edge AI to one of the world’s most important industries.
• A leadership role with ownership over core ML/LLM systems and influence on technical direction.
• Competitive salary, equity options, and benefits, including health, dental, and vision coverage.

Who We Are:

SuperDial is transforming AI in healthcare by building scalable, AI-powered solutions that optimize revenue cycle management. Join us and help shape the future of AI in healthcare.

Compensation:

The base salary for this role ranges from $145,000 to $250,000, depending on experience and qualifications. We also offer equity and benefits as part of our total compensation package.