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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer (2026 Focus)

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a Senior AI Research Engineer to lead the charge in developing the next generation of artificial intelligence systems. As we look toward the technological landscape of 2026, we need a visionary engineer to build scalable, ethical, and powerful AI architectures that define the future.

The Role

In this position, you will not just implement existing models but will pioneer novel approaches to Generative AI, Large Language Models (LLMs), and Autonomous Agents. You will bridge the gap between theoretical research and production deployment, ensuring our systems are robust and ready for the challenges of tomorrow.

Responsibilities

  • Lead the research and development of novel machine learning algorithms and neural network architectures.
  • Optimize deep learning models for high performance and low latency in real-world applications.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Conduct rigorous testing and validation to ensure model accuracy and safety.
  • Stay ahead of industry trends, specifically focusing on advancements relevant to the 2026 technology horizon.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering and research.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Deep understanding of Transformer architectures, NLP, and Computer Vision.
  • Experience with cloud platforms (AWS, GCP) and MLOps pipelines.
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLM MLOps AWS Deep Learning

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