Machine Learning Infrastructure Engineer

Bright Vision Technologies; Beaverton (OR); Remote; USD 105,000 - 143,000; Full time

Job summary

Bright Vision Technologies is seeking a Machine Learning Infrastructure Engineer to design, build, and operate high-performance inference platforms for serving large ML models.

The role emphasizes distributed systems, performance engineering, and end-to-end observability, with 100% remote work for US-based candidates. Strong background in GPUs, cloud, and model serving is essential.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 6+ years of experience in distributed systems, infrastructure, or ML platform engineering.
• Strong Python skills and proficiency in Go, Rust, or C++.
• Deep experience operating high-throughput, low-latency production services.
• 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 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 large ML models.
• Focus on the systems engineering side of AI deployment, including routing, batching, caching, autoscaling, and GPU utilization.
• Ensure end-to-end observability across diverse model workloads.
• Collaborate with teams to balance latency, throughput, cost, and quality in ML serving.

Skills

Python

Go

Rust

C++

Distributed systems

Performance engineering

Incident response

Observability basics

Education

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

Tools

Kubernetes

vLLM

TensorRT-LLM

Job description

Machine Learning Infrastructure Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title:

Machine Learning Infrastructure Engineer

Location:

100% Remote (U.S.)

Position Type:

Full-time, Direct W2

Salary Range:

$105,000–$143,000 Annually

Experience Required:

6+ years

Sponsorship:

U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are seeking a Machine Learning Infrastructure Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on 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 brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.

Required 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.

Preferred Qualifications

• Open-source contributions to model serving infrastructure.


• Experience with multi-region or globally distributed AI serving.


• Familiarity with model quantization, distillation, and compression techniques.


• Exposure to FinOps for AI workloads and cost-efficient serving design.


• Experience supporting external-facing AI APIs at scale.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.