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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer - Shaping 2026

Nebula Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technology landscape of 2026? Nebula Dynamics is seeking a visionary Senior AI & Machine Learning Engineer to lead our research into next-generation artificial intelligence. We are building the foundational models that will power the digital infrastructure of the future.

In this role, you will not just implement existing solutions; you will architect the algorithms that solve complex, unsolved problems in generative AI and autonomous systems. If you are passionate about pushing the boundaries of what's possible and want to work with world-class talent, we want to hear from you.

Why join us?

  • Work on cutting-edge technology with a focus on the 2026 roadmap.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a hub in San Francisco.
  • Access to the latest hardware and research tools.

Responsibilities

  • Design, train, and deploy state-of-the-art deep learning models with a focus on scalability and efficiency.
  • Lead research initiatives into emerging AI paradigms, including Large Language Models (LLMs) and reinforcement learning.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready applications.
  • Optimize model inference speed and reduce computational costs for high-volume deployments.
  • Stay ahead of the curve by monitoring global tech trends and integrating novel techniques into our pipeline.
  • Mentor junior engineers and contribute to the technical vision of the AI division.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning or artificial intelligence.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of neural architectures, transformers, and NLP techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Demonstrated ability to publish research papers or contribute to open-source AI projects.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP AWS Docker Kubernetes Generative AI LLMs Reinforcement Learning

Ready to Take This Challenge?

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