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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

Nebula Intelligence
San Francisco
Estimated Salary
USD 165.000 – USD 235.000
New
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are pioneering the next era of artificial intelligence. Nebula Intelligence is seeking a visionary Senior AI Engineer to spearhead Project 2026, a revolutionary initiative aimed at developing self-evolving neural architectures. In this role, you will not just build models; you will architect the cognitive framework for the next decade.

Why Join Us?

Project 2026 represents our most ambitious leap yet. You will work in a high-performance environment with top-tier talent, pushing the boundaries of Generative AI and Autonomous Systems. We offer competitive equity, a remote-first culture, and the opportunity to define the future of human-machine interaction.

Responsibilities

  • Architect and train state-of-the-art deep learning models capable of zero-shot learning and emergent reasoning.
  • Optimize model inference latency and throughput for real-time applications in production environments.
  • Collaborate with cross-functional teams of engineers, researchers, and product managers to define technical roadmaps.
  • Conduct rigorous research into novel architectures, including Transformer variants and Graph Neural Networks.
  • Mentor junior engineers and establish best practices for code quality and reproducibility.
  • Ensure ethical AI practices by auditing model bias and fairness metrics continuously.

Qualifications

  • PhD or MS in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in building and deploying production-scale AI systems.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Proven track record of working with Large Language Models (LLMs) and Natural Language Processing (NLP) pipelines.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong understanding of MLOps, model versioning, and A/B testing frameworks.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS Docker Kubernetes MLOps

Ready to Take This Challenge?

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