Senior Backend Engineer (ML)

Role Description

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.

Candidate Qualifications

• 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.

Why Tennr?

• 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.

Benefits

• Beautiful new office at 345 Hudson Street
• Unlimited PTO
• 100% paid employee health benefit options
• Employer-funded 401(k) match
• Competitive parental leave

Compensation Range

$200K - $230K