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Senior AI/ML Engineer - 2026 Vision

Nebula AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape the Future of Intelligence.

Nebula AI Systems is at the forefront of the next technological revolution. We are looking for a visionary Senior AI/ML Engineer to lead our research and engineering efforts, building scalable systems that will define the landscape of 2026 and beyond. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Generative AI, we want to meet you.

Why Join Us?

  • Work with cutting-edge technology in a remote-first, high-performance environment.
  • Competitive compensation package including equity.
  • Flexible PTO and comprehensive health benefits.
  • Opportunity to mentor junior engineers and shape our engineering culture.

Are you ready to build the infrastructure for tomorrow?

Responsibilities

  • Architect and deploy scalable machine learning pipelines and model serving infrastructure.
  • Research and prototype novel algorithms to improve model accuracy and reduce latency.
  • Collaborate closely with data scientists and product managers to translate research into production-ready features.
  • Optimize existing models for real-time inference on edge and cloud devices.
  • Conduct code reviews and establish best practices for machine learning engineering within the team.
  • Maintain high standards of code quality, documentation, and system reliability.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in Machine Learning Engineering or Applied AI.
  • Strong proficiency in Python and deep familiarity with TensorFlow, PyTorch, or JAX.
  • Experience with MLOps tools (Kubeflow, MLflow, Docker, Kubernetes).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning concepts.
  • Proven track record of deploying models that handle high-scale production traffic.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP MLOps Kubernetes Docker AWS SQL

Ready to Take This Challenge?

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

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