Remote ML Systems Engineer – High-Performance Inference

Triwill Group; United States; Remote; USD 145,000 - 165,000; Full time

Job summary

Bright Vision Technologies is seeking an ML Systems Engineer to design, build, and operate high‑performance inference platforms for serving large machine learning models in production. The role emphasizes the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end‑to‑end observability across diverse model workloads.

The ideal candidate has strong distributed systems and performance‑engineering expertise, has shipped serving

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
• Strong proficiency in Python and a systems language such as Go, Rust, or C++.
• Deep experience operating high-throughput, low-latency services in production.
• Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
• Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
• Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
• Experience with observability stacks including metrics, tracing, and structured logging.
• Solid grounding in performance engineering and capacity planning.
• Strong communication and incident response skills.

Responsibilities

• Design, build, and operate high-performance inference platforms for serving ML models.
• Focus on systems engineering aspects of AI deployment including routing, batching, caching, autoscaling, and observability.
• Collaborate with ML researchers and software engineers to optimize latency, throughput, and cost.

Skills

Distributed systems

Python

Go/Rust/C++

LLM inference frameworks

Kubernetes

Observability

Performance engineering

Capacity planning

GPU awareness

Cloud platforms

Education

Bachelor’s or Master’s degree in Computer Science or a related field

Tools

vLLM

TensorRT-LLM

Kubernetes

Job description

Bright Vision Technologies is seeking an ML Systems Engineer to design, build, and operate high‑performance inference platforms for serving large machine learning models in production. The role emphasizes the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end‑to‑end observability across diverse model workloads.

The ideal candidate has strong distributed systems and performance‑engineering expertise, has shipped serving