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Senior AI/ML Engineer (Generative AI) - San Francisco, CA

Nebula AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are at the forefront of the next technological revolution, building the cognitive infrastructure for 2026 and beyond. As a Senior AI/ML Engineer (Generative AI), you will lead the charge in developing autonomous, multimodal Large Language Models (LLMs) that redefine human-computer interaction. If you are passionate about pushing the boundaries of artificial general intelligence (AGI) and want to build systems that learn, reason, and create, we want you on our team.

Why Join Us?

  • Work on cutting-edge projects that will shape the future of the tech industry.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with a focus on innovation.

We are looking for a visionary engineer who understands not just the code, but the impact.

Responsibilities

  • Architect and deploy scalable generative AI models on cloud infrastructure (AWS/GCP/Azure).
  • Research and implement novel transformer architectures and fine-tuning techniques for LLMs.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Contribute to open-source AI initiatives and publish technical papers.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or NLP.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Large Language Models, RAG (Retrieval-Augmented Generation), and Vector Databases.
  • Experience with distributed systems and high-scale data processing.
  • Excellent communication skills and the ability to mentor junior engineers.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs OpenAI AWS GCP Kubernetes Docker MLOps

Ready to Take This Challenge?

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