Senior AI Research Scientist - Remote Production ML

Bright Vision Technologies

Reston (VA)

Remote

USD 100,000 - 150,000

Full time

14 days+
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Job summary

Bright Vision Technologies seeks an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced ML 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 building robust, scalable production pipelines.

The ideal candidate stays current with evolving AI research, can critically evaluate new

Qualifications

  • Master’s or PhD in CS/ML/Statistics or equivalent experience.
  • 6+ years of combined research and ML engineering experience.
  • Strong Python and ML framework proficiency (PyTorch or JAX).
  • Experience training, fine-tuning, and evaluating deep learning models at scale.
  • Experience taking ML models from research prototype to production with observability.
  • Familiarity with distributed training, mixed-precision training, and accelerator hardware.
  • Strong written and verbal communication; ability to explain complex methods clearly.
  • Ability to read, evaluate, and apply techniques from current research literature.

Responsibilities

  • Bridge research and production engineering to ship ML systems.
  • Design, implement, and evaluate ML models for high-impact business problems.
  • Own full lifecycle from problem framing and experimentation to deployment and continuous improvement.
  • Ensure observability and safeguards in production ML.
  • Stay current with AI research and apply findings across projects.

Skills

Python
Deep learning
ML engineering
Distributed training
Mathematics & stats
Technical communication
Research literacy
Model evaluation

Education

Master’s or PhD in CS/ML/Statistics

Tools

PyTorch
JAX

Job description

Bright Vision Technologies seeks an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced ML 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 building robust, scalable production pipelines.

The ideal candidate stays current with evolving AI research, can critically evaluate new

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