ML Systems Engineer
This listing is for a ML Systems Engineer role at Bright Vision Technologies, as a remote role open to applicants in United States. It is listed as a full-time position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
This listing is for a ML Systems Engineer role at Bright Vision Technologies, as a remote role open to applicants in United States. It is listed as a full-time position.
Skills and tools named in the text include Python, Rust, C++, Kubernetes, LLM and observability.
The listing gives the pay as $145,000 - $165,000 per year.
The advert says the employer does not sponsor work visas, so applicants need the right to work there already.
Dev Global Jobs found this job on Himalayas on Oct 31, 2026; applications close on Dec 30, 2026.
- Employer
- Bright Vision Technologies
- Location
- Remote (United States)
- Job type
- Full-time
- Pay
- $145,000 - $165,000 per year
- Found
- Oct 31, 2026 on Himalayas
- Closes
- Dec 30, 2026
- Employer text
- 476 words, about 2 min to read
- Apply only on the official page (himalayas.app). Dev Global Jobs is not the employer and never asks for a fee.
- Mirror the skills the advert names (Python, Rust, C++ and Kubernetes) in your CV where you really have them; applicant tracking systems look for these words.
- Plan to apply before Dec 30, 2026.
- Read the employer’s full text below (about 2 min) before you apply.
- Build or check your CV with the free DGJ CV Builder.
DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
This job's listed pay is 78% above the benchmark.
Source: OECD Average annual wages, 2025
About the role
Full text from the employer, as published on Himalayas, arranged into sections. Nothing added or removed.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: ML Systems Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $145,000-$165,000 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 ML Systems 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.
- 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.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to or contact us at (908)676-4399. Learn more about Bright Vision Technologies at .
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.
Originally posted on Himalayas
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