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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Roadmap

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are Nebula Systems, a pioneer in next-generation artificial intelligence. We are building the technological infrastructure that will define the year 2026 and beyond. We are looking for a visionary Senior AI/ML Engineer to lead our research and development efforts, focusing on scalable generative models and autonomous systems.

In this role, you will not just adapt to the future; you will help engineer it. You will work on cutting-edge projects that require a deep understanding of deep learning, natural language processing, and ethical AI deployment. If you are passionate about solving complex problems and want to leave a mark on the future of technology, we invite you to join our elite engineering team.

Responsibilities

  • Architect and deploy scalable machine learning models designed for high-performance 2026 infrastructure standards.
  • Lead research initiatives in Generative AI, Large Language Models (LLMs), and Computer Vision.
  • Collaborate with product and engineering teams to integrate AI solutions into real-world applications.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Ensure all AI systems adhere to strict ethical guidelines, data privacy regulations, and bias mitigation protocols.
  • Optimize model inference speeds and reduce computational costs in cloud environments.

Qualifications

  • 5+ years of professional experience in software engineering, data science, or machine learning.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong foundation in mathematics, including linear algebra, calculus, and statistics.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of NLP, Transformers, or Reinforcement Learning.
  • Master’s degree in Computer Science, Mathematics, or a related technical field is highly preferred.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing Data Science Kubernetes AWS GCP

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