# Senior Machine Learning Engineer, ML Infrastructure- Online at Unity

- Company: Unity
- What the company does: Develop, deploy, and grow with Unity, the world’s leading 3D game engine. Build for all major platforms from mobile, to PC and console as well as XR, acquire players, monetize your game, and power industrial applications. Backed by Sequoia.
- Company website: https://www.unity3d.com/
- Type: Startups (AI role)
- Level: Senior
- Location: Remote, Washington, USA
- Work setup: Remote
- Pay: $210K to $273K base salary per year (USD)
- Posted: 2026-10-07
- Apply by: 2026-11-21
- Apply: https://unitytech.wd1.myworkdayjobs.com/en-US/Unity/job/Remote-Washington-USA/Machine-Learning-Engineer_JOBREQ-2615890?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/unity-senior-machine-learning-engineer-ml-infrastructure-online/

## About the role

We are seeking a Senior ML engineer to design and evolve Unity Vector’s online model inference platform. This role focuses on building reliable infrastructure for serving machine learning models in production, optimizing inference performance, and enabling safe, efficient experimentation across high-traffic online systems. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Experience building and operating production-grade online ML inference systems, such as NVIDIA Triton Inference Server, TorchServe, Ray Serve, TensorFlow Serving, or similar systems
- Experience with model serving frameworks such as NVIDIA Triton Inference Server, TorchServe, Ray Serve, TensorFlow Serving, or similar systems
- Experience optimizing inference workloads using techniques such as dynamic batching, model compilation, quantization, GPU acceleration, GPU kernel optimization, caching, or runtime tuning
- Strong experience with distributed systems, Kubernetes, autoscaling, service reliability, and production observability
- Strong programming skills in Python, with practical experience working on production ML systems and high-scale services
- Experience with PyTorch and modern model deployment workflows, including model packaging, validation, and serving lifecycle management


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/unity-senior-machine-learning-engineer-ml-infrastructure-online/