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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are on a mission to redefine the boundaries of artificial intelligence. Nebula Dynamics is seeking a visionary Senior AI Engineer to spearhead Project 2026, our flagship initiative into next-generation generative models and autonomous systems.

In this pivotal role, you will not just write code; you will architect the neural foundations of our future. You will work in a collaborative, high-performance environment with industry leaders pushing the envelope of what is possible in LLMs, computer vision, and predictive analytics.

Why Join Us?

  • Work on ground-breaking technology with a competitive compensation package.
  • Flexible remote-first culture with a hub in the heart of San Francisco.
  • Access to cutting-edge hardware and proprietary datasets.

Are you ready to shape the future? Apply today.

Responsibilities

  • Lead the architectural design and implementation of scalable AI models for Project 2026.
  • Optimize deep learning pipelines for high-throughput, low-latency inference in production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to define roadmap requirements.
  • Mentor junior engineers and conduct code reviews to ensure best practices in AI development.
  • Stay abreast of the latest advancements in the AI landscape and integrate them into our tech stack.
  • Debug complex neural network architectures and troubleshoot performance bottlenecks.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience building and deploying machine learning models.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of NLP, LLMs, or Computer Vision architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Demonstrated ability to work independently in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS GCP Kubernetes NLP LLMs Neural Networks Data Science GenAI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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