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Lead AI Research Engineer (2026 Horizon)

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are at the precipice of a new era in artificial intelligence. Nebula Dynamics is looking for a visionary Lead AI Research Engineer to architect the next generation of generative models and autonomous agents. This is not just a job; it is an opportunity to define the infrastructure of the future.

In this role, you will bridge the gap between theoretical research and real-world deployment, ensuring our systems are scalable, secure, and transformative. Join a team of elite engineers and data scientists committed to pushing the boundaries of technology in 2026 and beyond.

Responsibilities

  • Architect and implement state-of-the-art deep learning models using PyTorch and TensorFlow.
  • Optimize model inference pipelines to handle high-volume, low-latency data streams.
  • Lead a cross-functional team of data scientists and ML engineers in research initiatives.
  • Conduct rigorous testing and validation to ensure AI safety, ethics, and alignment.
  • Collaborate with product stakeholders to translate complex research into scalable production features.
  • Publish patents and research papers in top-tier AI conferences.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering and MLOps.
  • Expert proficiency in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, JAX).
  • Deep understanding of distributed computing systems (Kubernetes, AWS, GCP).
  • Strong background in Natural Language Processing (NLP) or Computer Vision.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Distributed Systems NLP Deep Learning AWS

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