Senior Backend Engineer (ML)

Tennr

$135K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

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 drive projects from idea to production in a startup.
  • Interest in growing into ML infrastructure, prior ML ops/infra experience not required.
  • Nice to have: exposure to inference engines (vLLM, SGLang, TensorRT) or Kubernetes.

Responsibilities

  • Architect, build, and scale the cloud infrastructure behind ML training, inference, and data pipelines.
  • Design resilient systems for model deployment, evaluation, and monitoring 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.

Benefits

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

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.

Responsibilities
  • 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.


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

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