Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
We're looking for a founding Sr. ML Infrastructure Engineer with a strong background in distributed systems and building pipelines that scale. In this role, you'll own the infrastructure that powers Tennr's AI-driven healthcare platform - the training, inference, and data pipelines that let our models handle growing traffic and an expanding product surface.
Our ML team builds in-house, proprietary VLMs, LLMs, and other models purpose-built for hard problems in healthcare. You don't need deep ML experience to thrive here - what matters is a strong system design foundation and the interest to grow into the ML-side. If you think in systems, care about reliability, and want to expand into ML infrastructure, this is a rare chance to build foundational systems from the ground up.
Architect, build, and scale the cloud infrastructure behind our ML training, inference, and data pipelines.
Design resilient systems for model deployment, evaluation, and monitoring that stay reliable as traffic grows.
Own observability across the stack - logging, metrics, tracing, and alerting.
Troubleshoot production issues and continuously improve performance and efficiency.
Collaborate with ML engineers, backend engineers, and cross-functional teams to integrate models cleanly with data pipelines and products.
4+ years building and scaling infrastructure in production-distributed systems, cloud platforms, or data engineering.
Strong backend software engineering fundamentals, with proficiency in Python and TypeScript.
Hands-on experience with AWS, and PostgreSQL
Solid grasp of observability, reliability, and production incident response.
Comfortable with ambiguity and high ownership; you move fast and drive projects from idea to production in a startup environment.
Interested in growing into ML infrastructure - prior ML ops/infra experience is not required.
Nice to have: exposure to inference engines (vLLM, SGLang, TensorRT), or k8s.
Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
Free lunch! Plus a pantry full of snacks.
Beautiful new office at 345 Hudson Street
Unlimited PTO
100% paid employee health benefit options
Employer-funded 401(k) match
Competitive parental leave
Skills Required
- 5+ years of experience in ML model deployment, infrastructure, and scaling in production environments
- Strong software engineering fundamentals, with proficiency in Python and TypeScript
- Experience in software design and architecture for highly available ML systems for use cases like inference, evaluation, and experimentation
- Strong knowledge of observability, including logging, metrics, tracing, model performance monitoring, and alerting
- Experience with distributed systems, reliability, and production incident response
Tennr Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tennr and has not been reviewed or approved by Tennr.
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Fair & Transparent Compensation — Available salary ranges for software engineering, product, and solutions roles indicate market-competitive total compensation. Publicly shared ranges include base, equity, and bonuses, signaling comprehensive pay structures.
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Healthcare Strength — Job materials cite 100% paid employee health benefit options. This signals a strong healthcare offering with employer-covered employee premiums.
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Leave & Time Off Breadth — Unlimited PTO is consistently highlighted across roles. This expands time-off flexibility beyond standard accruals.
Tennr Insights
What We Do
Tennr reads documents from incoming faxes passing through healthcare practices and automates essential tasks like scheduling and qualifying patient visits. By automating that paperwork with Tennr, practices receive more patient referrals and reduce billing errors by 98%, significantly growing revenue.
