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Senior AI/ML Engineer - Future Tech (2026)

Nebula AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Future of Intelligence

Are you ready to architect the technological landscape of 2026? Nebula AI Systems is pioneering the next generation of autonomous intelligence, and we are seeking a visionary Senior AI/ML Engineer to join our elite research and development team in San Francisco.

In this role, you won't just be building models; you will be defining the paradigms of future computing. We are looking for a self-starter with a passion for pushing the boundaries of what is possible in Generative AI, Large Language Models, and Predictive Analytics. If you are driven by innovation and want to work on projects that will define the decade, we want to hear from you.

Why Join Nebula AI Systems?

  • Work on cutting-edge projects that anticipate the needs of the year 2026 and beyond.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a state-of-the-art office in SF.

Responsibilities

  • Design, develop, and deploy advanced machine learning models capable of handling complex, high-volume data streams.
  • Lead the architecture of next-generation neural networks, focusing on efficiency, scalability, and interpretability.
  • Collaborate with cross-functional teams of data scientists, software engineers, and product managers to translate research into production-ready applications.
  • Optimize existing algorithms for speed and accuracy, ensuring our systems meet real-time processing requirements.
  • Stay at the forefront of AI research, integrating the latest breakthroughs into our proprietary technology stack.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5+ years of professional experience in machine learning, deep learning, or a similar technical domain.
  • Strong proficiency in programming languages such as Python, C++, or Java, with deep expertise in PyTorch or TensorFlow.
  • Proven track record of deploying ML models to cloud infrastructure (AWS, GCP, or Azure).
  • Experience with Natural Language Processing (NLP) and Large Language Models (LLMs) is highly preferred.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP AWS GCP Cloud Computing Research

Ready to Take This Challenge?

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