Bright Vision Technologies
AI Research 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
$7,744 more — $107,744 — 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 $107,744 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 "Computer and Information Research Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · 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
- We are seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems.
Responsibilities
- Implement rigorous experimentation workflows including baselines, ablations, and statistically sound evaluation methodology.
- Build production-quality training and inference pipelines using modern ML frameworks and orchestration tools.
- Collaborate with ML platform engineers to ensure efficient use of compute, storage, and accelerator resources.
- Optimize models for accuracy, latency, throughput, and cost based on production requirements.
- Develop tooling for dataset construction, labeling, validation, and ongoing monitoring of data quality.
- Partner with product, design, and domain experts to ensure model behavior aligns with user needs and policy requirements.
- Implement safety, fairness, and reliability evaluations and incorporate findings into model selection decisions.
- Document research findings, design decisions, and operational characteristics clearly for both technical and non-technical audiences.
- We will support H1B transfers for qualified candidates.
Requirements
- Six or more years of combined research and applied ML engineering experience.
- Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX.
- Experience taking ML models from research prototype to production with appropriate observability and safeguards.
- Familiarity with distributed training, mixed-precision training, and accelerator hardware.
- Strong written and verbal communication skills, including ability to explain complex methods clearly.
- Demonstrated ability to read, evaluate, and adapt techniques from current research literature.
- Track record of shipping impactful applied AI projects.
Nice to have
- Published research at top-tier AI/ML venues.
- Experience with large language model training, fine-tuning, or evaluation.
- Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures.
- Exposure to responsible AI, model evaluation, and alignment practices.
- Experience contributing to open-source ML projects.
Skills
- This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
- AI Research 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, prototype, and evaluate applied AI solutions across natural language, vision, recommendation, and structured data domains.
- Stay current with the latest research in deep learning, large language models, and adjacent areas, and assess applicability to internal use cases.
- 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.
- 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 AI Research Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology.
- Job Summary We are seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems.
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.