Bright Vision Technologies

AI Research Engineer

Houston, Texas · Full-time

H1B sponsorship available$100k-$150kDetected 25 days ago

PythonMachine LearningDeep LearningPyTorchNLPLLMsRAGAgentic AIStatisticsA/B TestingResearchCommunication

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.

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 leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

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.

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.

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations.
In-house Bright Vision Technologies SOW engagement (no third-party client or vendor)
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
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.
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.

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.

equal opportunity employer and place a high value on diversity and inclusion at our company.
Equal Employment Opportunity (EEO) Statement

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.