ML Infrastructure Engineer

Job Overview

We are seeking a talented ML Infrastructure Engineer to join our team at Tennr. As the first and founding ML Operations Engineer, you will play a crucial role in building and iterating on foundational Machine Learning and AI systems. You will own building machine learning training and inference pipelines that can handle increasing traffic demands and proliferation of product surface as we grow. You will be critical in ensuring our AI-driven healthcare platform is powered by robust, scalable, and efficiently deployed models.

Key Responsibilities

• Architect, design, and implement ML software systems for deploying and managing models at scale.


• Develop and maintain infrastructure that supports efficient ML operations, including data pipelines, model evaluations, deployments, and training at scale.


• Collaborate closely with ML engineers, software engineers, and cross-functional teams to ensure seamless integration of models with data pipelines and products.


• Troubleshoot production issues and continuously improve systems to enhance performance and efficiency.


• Create tooling for online and offline evaluation of ML & LLM systems.

Required Qualifications

• 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


• Comfortable working in ambiguity with high ownership, moving quickly in a fast-paced startup environment, and proactively driving projects from idea to production

Nice to Have

• Experience working with ML CI/CD and common ML frameworks like Pytorch, Tensorflow, etc.


• Experience working with common inference frameworks like vLLM, TensorRT, Triton, etc


• Experience with GPU orchestration, including managing GPU workloads/scheduling, cost management, cluster utilization, etc


• Experience with GPU optimization (training/inference) involving CUDA profiling, memory optimization, multi-GPU communication, etc

About Tennr

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.

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