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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

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

Job Description

Architect the Future of Intelligence

Are you ready to shape the next generation of artificial intelligence? Nebula AI is seeking a visionary Senior AI Engineer to lead our core model development and deployment initiatives. We are building scalable, ethical, and powerful AI systems that will define the technological landscape of the next decade.

Why Join Us?

Work with state-of-the-art technology including Large Language Models (LLMs) and Generative AI. We offer a competitive package, equity opportunities, and the freedom to innovate without red tape.

Responsibilities

  • Design, train, and fine-tune large-scale machine learning models for production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize model inference speed and reduce latency for real-time applications.
  • Establish MLOps pipelines to automate model training, testing, and deployment processes.
  • Conduct rigorous code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Research and implement novel algorithms to improve model accuracy and efficiency.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in AI/ML engineering with a focus on deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Proficiency in Python and experience with high-performance computing clusters.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with prompt engineering and fine-tuning LLMs (e.g., GPT, Llama, BERT).
  • Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps Machine Learning Deep Learning AWS Kubernetes LLM NLP Generative AI

Ready to Take This Challenge?

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