Note: The job is a remote job and is open to candidates in USA. Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The AI Research Engineer will bridge cutting-edge applied research and production engineering by designing and shipping advanced machine learning systems, building scalable production pipelines, and managing the lifecycle from experimentation through deployment and continuous improvement.
Responsibilities
- Designing and shipping advanced machine learning systems that solve high-impact business problems
- Build robust, scalable, and well-instrumented production pipelines
- Critically evaluate new techniques for real-world applicability
- Operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement
Skills
- * 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
- * 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
Benefits
- 100% Remote (U.S.)
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