Machine Learning Infrastructure Engineer

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

Job summary

Bright Vision Technologies is seeking a Machine Learning Infrastructure Engineer for a fully remote role. The candidate will design, build, and operate high-performance inference platforms for serving large ML models in production, focusing on latency, throughput, cost, and observability.

A strong background in distributed systems and Python plus Go/Rust/C++ is required. The role emphasizes scalable serving, GPU utilization, and end-to-end observability across diverse model workloads, with a

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• Six-plus years in distributed systems, infrastructure, or ML platform engineering.
• Proficiency in Python and a systems language (Go, Rust or C++).
• Experience with ML serving frameworks and GPU utilization.

Responsibilities

• Design, build and operate high-performance ML inference platforms.
• Optimize request routing, batching, caching, autoscaling and observability.
• Collaborate on cost-aware serving design and cross-team incident response.

Skills

Python

Go

Rust

C++

Distributed systems

Performance engineering

Observability

Incident response

Cloud platforms

Communication

Education

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

Tools

Kubernetes

TensorRT-LLM

vLLM

GPU acceleration

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.

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.