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Senior AI Engineer - San Francisco, CA

Nebula AI
San Francisco
Estimated Salary
USD 175.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on a mission to democratize artificial intelligence and are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. You will be at the forefront of developing next-generation Large Language Models and autonomous agents that redefine human-computer interaction.

At Nebula AI, we value innovation, technical excellence, and a collaborative spirit. We offer a competitive compensation package, comprehensive health benefits, and the flexibility to work in a state-of-the-art environment. If you are passionate about solving complex problems with code and want to build the future of AI, we want to talk to you.

Responsibilities

  • Design, train, and deploy scalable machine learning models with a focus on Natural Language Processing (NLP).
  • Optimize model inference latency and throughput to ensure real-time performance at scale.
  • Collaborate with cross-functional teams including product managers, data scientists, and frontend engineers to define AI roadmaps.
  • Conduct cutting-edge research to improve existing algorithms and explore new architectural patterns.
  • Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD in Computer Science, Statistics, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
  • Expert proficiency in Python and major deep learning frameworks (PyTorch or TensorFlow).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of distributed systems, data structures, and algorithmic efficiency.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

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

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