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About the Role
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.
Responsibilities
- Designing and shipping advanced machine learning systems that solve high-impact business problems.
- Building robust, scalable, and well-instrumented production pipelines.
- Critically evaluating new techniques for real-world applicability.
- Operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement.
Requirements
- 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.
- 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.
Skills
- Python
- PyTorch
- JAX
- Large language model training, fine-tuning, or evaluation
- Retrieval-augmented generation, agentic systems, or multimodal architectures
- Responsible AI, model evaluation, and alignment practices
- Contributing to open-source ML projects
Location
- 100% Remote (U.S.)
Work Type
- Full-time
- Direct W2
Experience Level
- 6+ years
Education Level
- Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience.
Salary/Compensations
- $135,000–$210,000 Annually
About the Company
- 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.
Equal Opportunity
- Bright Vision Technologies is an Equal Opportunity Employer
- 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' abilities to perform their job duties may result in disciplinary action up to and including termination of employment.