AI Research Engineer

Bright Vision Technologies; United States; On-site; USD 80,000 - 100,000; Full time

Job summary

Bright Vision Technologies seeks an AI Research Engineer to bridge state-of-the-art research with production-grade ML systems. Design, train, and deploy scalable models while maintaining robust observability and safeguards. Stay current with AI research and translate findings into real-world business solutions.

The role emphasizes full lifecycle ownership, from problem framing and experimentation to deployment, monitoring, and continuous improvement in a fully remote U.S. environment.

Qualifications

• Master’s or PhD in CS/ML or equivalent experience.
• 6+ years of research and ML engineering experience.
• Strong Python and PyTorch/JAX proficiency.
• Experience moving ML models to production with observability and safeguards.

Responsibilities

• Bridge cutting-edge research and production engineering to design and ship scalable ML systems.
• Evaluate new techniques for real-world applicability and ensure robust instrumentation.
• Own end-to-end lifecycle from problem framing to deployment and continuous improvement.

Skills

Python

PyTorch

JAX

Deep learning

ML engineering

Distributed training

Education

Master’s or PhD in CS/ML

Tools

TensorFlow

NumPy

Job description

AI Research Engineer – Remote

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 Research Engineer

Location: 100% Remote (U.S.)

Position Type: Full-time, Direct W2

Salary Range: $80,000–$100,000 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 Research 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.

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.