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Senior AI Engineer (2026 Vision)

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

Job Description

We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. As we look towards 2026 and beyond, we are building the next generation of autonomous systems and generative intelligence.

In this role, you won't just write code; you will architect the brain of our next generation products. You will work with state-of-the-art Large Language Models (LLMs), Transformers, and Neural Networks to solve complex problems that define the future of human-machine interaction.

Our culture is built on speed, innovation, and high performance. If you are passionate about pushing the boundaries of what is possible in Artificial Intelligence, we want to hear from you.

Why Join Us?

β€’ Work on cutting-edge Generative AI and Autonomous Systems.
β€’ Competitive equity and stock options.
β€’ Top-tier benefits and professional development budget.

Responsibilities

  • Design, train, and deploy scalable Machine Learning models and AI pipelines from concept to production.
  • Research and implement novel architectures for Generative AI and Natural Language Processing (NLP) tasks.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to translate business requirements into technical AI solutions.
  • Optimize model inference for real-time applications and edge devices to ensure sub-millisecond latency.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.
  • Stay abreast of the latest academic research and industry trends to drive continuous improvement.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, Data Science, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Hands-on experience with LLMs (e.g., GPT, BERT, Llama) and fine-tuning techniques.
  • Deep understanding of MLOps, data pipelines, and cloud infrastructure (AWS/GCP/Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP LLMs MLOps AWS SQL Data Engineering

Ready to Take This Challenge?

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

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