Senior Remote Autonomous Learning Engineer

Bright Vision Technologies

Alpharetta (GA)

Remote

USD 130,000 - 180,000

Full time

7 days ago
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Job summary

Bright Vision Technologies is seeking an experienced Autonomous Learning Engineer to design, train, and deploy intelligent decision‑making systems for real‑world applications. The candidate should have 10+ years in AI, reinforcement learning, and deep learning, with strong Python expertise and hands‑on experience with simulation environments and distributed training.

The role involves building scalable RL pipelines, integrating RLHF, multi‑agent approaches, and productionizing AI solutions on

Qualifications

  • 10+ years of professional experience in AI/ML RL.
  • Deep learning with Python and major frameworks.
  • Experience deploying RL systems at scale.
  • Strong analytical and leadership skills.

Responsibilities

  • Design, develop, and deploy advanced reinforcement learning solutions.
  • Architect scalable RL training pipelines using distributed Compute.
  • Design, build, and optimize simulation environments for training RL agents.
  • Develop, implement, and evaluate modern RL algorithms and reward models.
  • Build autonomous learning systems with RLHF, imitation learning, and multi-agent learning.
  • Improve convergence, sample efficiency, training stability, and production scalability.
  • Integrate RL models into production applications with reliability and monitoring.
  • Collaborate with researchers, data scientists, and engineers on enterprise AI solutions.
  • Mentor engineers and provide leadership on RL architecture and best practices.
  • Evaluate emerging RL frameworks and research to drive innovation.

Skills

Python
PyTorch
TensorFlow
JAX
RLlib
Stable-Baselines3
OpenAI Gym
MuJoCo

Education

Bachelor's or Master's in CS/AI

Tools

OpenAI Gym
MuJoCo
Unity ML-Agents
NVIDIA Omniverse

Job description

Bright Vision Technologies is seeking an experienced Autonomous Learning Engineer to design, train, and deploy intelligent decision‑making systems for real‑world applications. The candidate should have 10+ years in AI, reinforcement learning, and deep learning, with strong Python expertise and hands‑on experience with simulation environments and distributed training.

The role involves building scalable RL pipelines, integrating RLHF, multi‑agent approaches, and productionizing AI solutions on

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