AI Innovation Engineer

Bright Vision Technologies; Austin (TX); Remote; USD 135,000 - 210,000; Full time

Job summary

Bright Vision Technologies is seeking an AI Innovation Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced ML systems and scalable production pipelines.

The role requires 6+ years of research and ML engineering, deep Python proficiency with PyTorch or JAX, and the ability to ship impactful AI projects end-to-end in a fully remote team. You will work across problem framing, experimentation, deployment, and continuous improvement.

Qualifications

• Master’s or PhD in CS, ML, Stats, or equivalent experience.
• 6+ years of combined research and ML engineering experience.
• Proficiency in Python and ML frameworks (PyTorch or JAX).
• Experience moving ML models to production with observability.
• Experience with distributed/mixed-precision training and accelerator HW.
• Strong written and verbal communication.
• Ability to read and adapt current research literature.
• Track record shipping applied AI projects.

Responsibilities

• Bridge applied research and production engineering.
• Design, implement and ship ML systems and pipelines.
• Build robust, scalable, production-grade pipelines.
• Evaluate new techniques for real-world applicability.
• Collaborate with cross-functional teams across the stack.

Skills

Mathematics & statistics

Production ML experience

Communication skills

Education

Master’s or PhD in CS/ML/Statistics

Tools

Python

PyTorch

JAX

Distributed training

Job description

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

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.