Bright Vision Technologies
ML Platform Engineer
Houston, Texas · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$10,344 more — $110,344 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $110,344 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Houston-Pasadena-The Woodlands, TX. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
Responsibilities
- Optimize inference performance using continuous batching, paged attention, speculative decoding, and request multiplexing.
- Implement multi-tenant routing, rate limiting, and quality-of-service policies across model endpoints.
- Build autoscaling and capacity management systems that balance latency, throughput, and cost.
- Implement caching, prompt deduplication, and response reuse strategies where appropriate.
- Drive end-to-end observability including latency histograms, queue dynamics, GPU utilization, and error tracking.
- Develop deployment workflows including canary releases, shadow testing, and automated rollback.
- Operate incident response for high-availability AI services and drive durable reliability improvements.
- Collaborate with ML and product teams to support new model releases and capability rollouts.
- Implement security controls including request signing, content filtering, and abuse detection at the serving layer.
- Document operational procedures, performance characteristics, and tuning guidance for internal teams.
Requirements
- 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.
Nice to have
- Open-source contributions to model serving infrastructure.
- Experience with multi-region or globally distributed AI serving.
- Familiarity with model quantization, distillation, and compression techniques.
- Experience supporting external-facing AI APIs at scale.
Skills
- This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
- ML Platform Engineer
- 100% Remote (Continental United States)
- In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
- 100 K - 150 K
- Sponsorship:
- No new H1B sponsorship available.
- H1B transfers welcomed for qualified candidates.
- Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
- Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap
Compensation
- Competitive base salary commensurate with experience, plus benefits.
Benefits
- Design and operate model serving platforms supporting diverse workloads including LLMs, vision models, and recommendation systems.
- This role is part of Bright Vision Technologies' in-house Statement of Work (SOW) engagement.
- The client, end customer, and employer for this position is Bright Vision Technologies - there is no third-party client, vendor, or implementation partner involved.
- Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables.
- We are seeking a ML Platform Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production.
- Learn more about Bright Vision Technologies at www.bvteck.com.
- We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
- Bright Vision Technologies is an
- Equal Opportunity Employer, including Disability/Veterans.
Company info
- As we continue to grow, we're looking for a skilled ML Platform Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
- We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
Equal opportunity
- equal opportunity employer and place a high value on diversity and inclusion at our company.
- Equal Employment Opportunity (EEO) Statement
Visa & Work Authorization
- No new H1B sponsorship available.
- H1B transfers welcomed for qualified candidates.
- Employment Terms & Visa Policy
- No new H1B sponsorship is available for this role.
- However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply.
- We will support H1B transfers for qualified candidates.
This listing is sourced directly from Bright Vision Technologies's careers page and normalized into a canonical job model.