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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nebula Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are pioneering the next generation of artificial intelligence to reshape industries by 2026. As a Senior AI/ML Engineer at Nebula Future Systems, you will be at the forefront of innovation, developing scalable, robust machine learning models that power our next-gen platform. You will collaborate with a world-class team of data scientists, engineers, and product leaders to solve complex problems and deliver groundbreaking solutions.

Why Join Us?

  • Work on cutting-edge Generative AI and LLM technologies.
  • Competitive compensation package and equity.
  • Flexible remote-first policy with office hubs in SF and NYC.
  • Unlimited PTO and professional development stipend.

If you are passionate about the future of technology and want to build the systems that will define the era of 2026, we want to hear from you.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms.
  • Build and optimize scalable data pipelines for training and inference.
  • Collaborate with cross-functional teams to integrate AI models into production environments.
  • Conduct rigorous testing and validation to ensure model accuracy and performance.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest research in deep learning and implement novel techniques.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning or AI engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of MLOps, CI/CD, and cloud infrastructure (AWS/GCP).
  • Experience with Large Language Models (LLMs) and fine-tuning methodologies.
  • Excellent problem-solving skills and ability to work in a fast-paced agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP SQL Docker Kubernetes Natural Language Processing Generative AI

Ready to Take This Challenge?

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