Live opening · Posted 6 days ago

AI Innovation Engineer

Bright Vision Technologies · Austin, TX (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 6 days ago
CompanyBright Vision Technologies
LocationAustin, TX (Remote)
Work modeYes
SourceLinkedin
Listed6 days ago

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About the role

Description supplied by the original job listing.

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: AI Innovation Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $135,000–$210,000 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 an AI Innovation Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement.
Required Qualifications
Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience
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
Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale
Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML
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
Preferred Qualifications
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
How To Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
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.
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