Senior Backend Engineer, Tennr
M.L
$200-230k
+ Equity + $40K – $50K Bonus
4 days a week in office
Automation platform for healthcare operations
Be an early applicant
Automation platform for healthcare operations
201-500 employees
Be an early applicant
$200-230k
+ Equity + $40K – $50K Bonus
4 days a week in office
201-500 employees
Company mission
To ease the administrative burdens on healthcare providers.
Role
Who you are
- 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
What the job involves
- 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
Our take
In the healthcare system, there are inefficiencies associated with the referral process to specialists. Often coming in various forms, from email to fax, without any standardized structure, this leads to administrative burdens and significant delays in patient care.
Tennr has developed a machine learning and document scanning platform that automates the extraction of relevant information from referrals and facilitates faster appointment scheduling. With its focus solely on the healthcare industry, it addresses the complexities of medical terminology and ensures doctors, clinics and insurers stay informed throughout the process.
It's had a successful start, customers reporting significant improvements in their workflows, signalling strong market demand for the solution. This success is accompanied by strong funding, enabling the company to focus on accelerating its growth. It has also announced the launch of Tennr Network, which provides real-time updates to referring and receiving providers, as well as patients, on the status of any referral.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 5 rounds)
Jun 2025
$101m
SERIES C
Oct 2024
$37m
SERIES B
Total funding: $156.3m
Company benefits
- Meaningful equity
- In-person culture
- Promoting from within
- 401k matching
- Unlimited PTO
- Free lunch (and a pantry stocked with a strangely wide array of puffed corn snacks)
Company HQ
Chelsea, New York, NY
Leadership
Trey Holterman
(Co-Founder & CEO)They studied Computer Science with a focus on Machine Learning at Stanford. Prior to starting Tennr, they focused on applying their research in the health technology world at HealthIQ and Strava.
Diego Baugh
(Co-Founder & CPO)They studied Computer Science at Stanford with a focus on Human Computer Interaction and Design. Prior to Tennr, they built automation systems at Goldman Sachs as an Automation Engineer.
Tyler Johnson
(Co-Founder & CTO)They studied Computer Science with a focus on Systems and Networking at Stanford. Prior to Tennr, they worked as a Lead Engineer at Tanduo, where they built bespoke data workflows for large industrial companies.
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