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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

Nebula Innovations
San Francisco
Estimated Salary
USD 175.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are looking for a visionary Senior AI Engineer to join our elite team at Nebula Innovations. As we approach the launch of Project 2026, we are building the next generation of autonomous systems. This is a rare opportunity to define the technical roadmap for the future of artificial intelligence.

In this role, you will architect scalable machine learning models, lead a high-performance engineering team, and drive the innovation required to stay ahead in the competitive tech landscape. You will work with state-of-the-art hardware and cutting-edge algorithms to solve complex problems that define the era of 2026.

Why Join Us?

  • Work on Project 2026, a flagship initiative with industry-changing potential.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with a premium office in San Francisco.
  • Access to the latest AI research and hardware.

Responsibilities

  • Lead the design and implementation of deep learning architectures for Project 2026.
  • Collaborate with cross-functional teams (product, research, and engineering) to translate business goals into technical solutions.
  • Optimize existing models for speed, accuracy, and efficiency on edge devices.
  • Mentor junior engineers and conduct code reviews to ensure high standards of quality.
  • Stay abreast of the latest advancements in AI to integrate new methodologies into our stack.
  • Define and enforce best practices for data pipelines and model deployment.

Qualifications

  • B.S., M.S., or Ph.D. in Computer Science, Machine Learning, or a related field.
  • 5+ years of experience in building production-level machine learning systems.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Proven track record of leading technical projects from conception to deployment.

Required Skills

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

Ready to Take This Challenge?

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