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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nebula Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Engineer to lead our next-generation machine learning initiatives. At Nebula Innovations, we are building the infrastructure that powers the autonomous agents of tomorrow. In this pivotal role, you will design, train, and deploy state-of-the-art neural networks, pushing the boundaries of what is possible in Natural Language Processing (NLP) and Computer Vision. Join a team of elite engineers and researchers dedicated to creating ethical, scalable, and transformative AI solutions.


Why Join Us?

  • Work with the latest tools in the Generative AI space.
  • Competitive compensation package including equity.
  • Flexible remote-first culture with HQ in San Francisco.

If you are passionate about the future of Artificial Intelligence and want to build products that define the industry, we want to hear from you.

Responsibilities

  • Architect and implement end-to-end machine learning pipelines for large-scale production environments.
  • Research and prototype novel algorithms to improve model accuracy, efficiency, and fairness.
  • Collaborate with cross-functional teams of product managers, designers, and engineers to translate business requirements into technical solutions.
  • Optimize model inference times and reduce latency for real-time applications.
  • Mentor junior data scientists and engineers, fostering a culture of technical excellence.
  • Stay current with the rapidly evolving AI landscape and integrate cutting-edge techniques into our stack.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning or Artificial Intelligence.
  • Strong proficiency in Python and deep frameworks such as PyTorch or TensorFlow.
  • Proven track record of deploying models to production (MLOps experience preferred).
  • Deep understanding of NLP architectures (Transformers, BERT, GPT) or Computer Vision models.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning MLOps AWS GCP Data Science

Ready to Take This Challenge?

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