Ambience Healthcare, Inc.
Machine Learning Infrastructure Engineer
- +3
- +2
- United States
- +3
- +2
- United States
À propos
We’re looking for a Machine Learning Infrastructure Engineer to join our AI Platform team. This is a high-leverage role focused on building and scaling the core infrastructure that powers every AI system at Ambience. You’ll work closely with our ML, data, and product teams to develop the foundational tools, systems, and workflows that support rapid iteration, robust evaluation, and production reliability for our LLM-based products. Our engineering roles are
hybrid
— working onsite at our San Francisco office
three days per week . What You’ll Do:
You have 5+ years of experience as a software engineer, infrastructure engineer, or ML platform engineer
You’ve worked directly on systems that support ML research or production workloads – whether training pipelines, evaluation systems, or deployment frameworks
You write high-quality code (we primarily use Python) and have strong engineering and systems design instincts
You’re excited to work closely with ML researchers and product engineers to unblock them with better infrastructure
You’re pragmatic and care deeply about making tools that are reliable, scalable, and easy to use
You thrive in fast-paced, collaborative environments and are eager to take ownership of ambiguous problems
Who You Are:
Design, build, and maintain the infrastructure powering ML model training, batch inference, and evaluation workflows
Improve internal tools and developer experience for ML experimentation and observability
Partner with ML engineers to optimize model deployment and monitoring across clinical workloads
Define standards for model versioning, performance tracking, and rollout processes
Collaborate across the engineering team to build reusable abstractions that accelerate AI product development
Drive performance, cost efficiency, and reliability improvements across our AI infrastructure stack
Pay Transparency We offer a base compensation range of approximately $200,000-300,000 per year, with the addition of significant equity. This intentionally broad range provides flexibility for candidates to tailor their cash and equity mix based on individual preferences. Our compensation philosophy prioritizes meaningful equity grants, enabling team members to share directly in the impact they help create. If your expectations fall outside of this range, we still encourage you to apply—our approach to compensation considers a range of factors to ensure alignment with each candidate's unique needs and preferences. Being at Ambience: An opportunity to work with cutting edge AI technology, on a product that dramatically improves the quality of life for healthcare providers and the quality of care they can provide to their patients
Dedicated budget for personal development, including access to world class mentors, advisors, and an in-house executive coach
Work alongside a world-class, diverse team that is deeply mission aligned
Ownership over your success and the ability to significantly impact the growth of our company
Competitive salary and equity compensation with benefits including health, dental, and vision coverage, quarterly retreats, unlimited PTO, and a 401(k) plan
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Compétences idéales
- Machine Learning
- Python
Expérience professionnelle
- Data Engineer
- Data Infrastructure
- Fullstack
Compétences linguistiques
- English