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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer: The 2026 Initiative

Nebula Core Technologies
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join the Architects of Tomorrow.

We are Nebula Core Technologies, a pioneer in futuristic computing, looking for a visionary Senior AI Research Engineer to spearhead our 2026 Initiative. In this pivotal role, you will design the neural frameworks that will underpin the technological landscape of the next decade. We are not just building software; we are engineering the reality of 2026.

As part of our elite R&D division, you will work on cutting-edge Generative Adversarial Networks (GANs) and Large Language Models (LLMs) designed to solve humanity's most complex challenges in autonomous systems and cognitive computing.

Responsibilities

  • Architect and deploy scalable deep learning models specifically engineered for the 2026 computing era.
  • Pioneer research into neural interface protocols and edge-computing convergence.
  • Optimize inference latency for real-time data processing in high-velocity, distributed environments.
  • Collaborate with quantum computing teams to integrate hybrid classical-quantum algorithms.
  • Lead a high-performing team of researchers in ethical AI development and bias mitigation.
  • Design proprietary synthetic datasets to train next-generation autonomous agents.
  • Translate abstract research concepts into production-ready software architectures.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of hands-on experience with Python, PyTorch, or TensorFlow.
  • Deep expertise in Transformer architectures, attention mechanisms, and vector embeddings.
  • Proven track record of deploying models to cloud infrastructure (AWS, GCP, or Azure) using Docker and Kubernetes.
  • Strong understanding of ethical AI principles, regulatory compliance (GDPR, CCPA), and responsible data governance.
  • Exceptional ability to communicate complex technical strategies to diverse stakeholders.
  • Experience with reinforcement learning and multi-agent systems is highly preferred.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing Docker Kubernetes Reinforcement Learning AWS GCP Stanford NLP

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