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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Visionary)

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nebula Dynamics is seeking a visionary Senior AI/ML Engineer to spearhead the development of next-generation artificial intelligence systems designed to solve complex problems by 2026 and beyond.

We are building the infrastructure for the autonomous and generative era. In this role, you won't just maintain existing models; you will pioneer new paradigms in Generative AI, Multimodal Learning, and Autonomous Agents. Join a team of elite researchers and engineers committed to pushing the boundaries of what is possible in machine learning.

Why Join Us?

  • Work on AGI-preparatory technologies that are reshaping industries.
  • Competitive equity package and top-tier compensation.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design, train, and deploy scalable machine learning models, focusing on Generative AI and Large Language Models (LLMs).
  • Lead research initiatives to explore novel neural architectures for 2026-era computing requirements.
  • Collaborate with cross-functional product teams to translate theoretical AI concepts into market-ready applications.
  • Optimize model inference pipelines to ensure high performance on edge devices and cloud environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Evaluate and integrate emerging AI tools and frameworks to stay ahead of industry trends.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Data Science.
  • Strong proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Proven experience with LLMs, NLP, Computer Vision, or Reinforcement Learning.
  • Experience deploying ML models in production environments (AWS, GCP, or Azure).
  • Excellent problem-solving skills and ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python PyTorch TensorFlow NLP LLMs Machine Learning Data Science AWS GCP Deep Learning

Ready to Take This Challenge?

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

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