Senior ML Platform Engineer — Remote, High-Scale Inference

Bright Vision Technologies; North Brunswick Township (NJ); Remote; USD 100,000 - 160,000; Full time

Job summary

Bright Vision Technologies is seeking an ML Platform Engineer to design, build, and operate high-performance inference platforms for production ML models. Focus on systems engineering for AI deployment, including routing, batching, caching, autoscaling, GPU utilization, and observability.

The ideal candidate has shipped serving systems at scale and excels in balancing latency, throughput, cost, and quality. 100% remote in the United States with full-time direct W2 employment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 10+ years of experience in distributed systems, infrastructure, or ML platform engineering.
• Strong proficiency in Python and a systems language (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 vcLLM 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 and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems.
• Optimize inference performance using batching, paged attention, speculative decoding, and request multiplexing.
• Implement multi-tenant routing, rate limiting, and QoS across model endpoints.
• Build autoscaling and capacity management to balance latency, throughput, and cost.
• Tune GPU utilization and KV cache strategies for LLM workloads.
• Integrate model serving with API gateways, identity systems, and observability platforms.
• Implement caching, prompt deduplication, and response reuse strategies.
• Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking.
• Develop deployment workflows with canary releases, shadow testing, and rollback.
• Operate incident response for high-availability AI services and drive reliability improvements.
• Collaborate with ML and product teams to support new model releases.
• Implement security controls including request signing, content filtering, and abuse detection.
• Document operational procedures and tuning guidance.
• Stay current with AI serving research and translate advances into production capabilities.

Skills

Distributed systems

Performance engineering

Python

Systems language (Go/Rust/C++)

Communication

Education

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

Tools

Kubernetes

vcLLM

TensorRT-LLM

Job description

Bright Vision Technologies is seeking an ML Platform Engineer to design, build, and operate high-performance inference platforms for production ML models. Focus on systems engineering for AI deployment, including routing, batching, caching, autoscaling, GPU utilization, and observability.

The ideal candidate has shipped serving systems at scale and excels in balancing latency, throughput, cost, and quality. 100% remote in the United States with full-time direct W2 employment.