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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - Shaping the Future of 2026

Nebula AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the technological landscape of 2026?

Nebula AI is a pioneer in next-generation generative intelligence. We are looking for a visionary Senior AI/ML Engineer to join our elite research division. In this role, you won't just be implementing existing models; you will be pushing the boundaries of what is possible in Large Language Models (LLMs) and multimodal AI systems.

Our mission is to create AI that is not only powerful but also ethical, scalable, and transformative. If you have a passion for solving complex problems and want to define the future of human-computer interaction, we want to hear from you.

Why Join Us?

  • Work on cutting-edge AI infrastructure.
  • Competitive equity package and benefits.
  • Flexible remote-first culture.

Responsibilities

  • Design and deploy scalable machine learning pipelines capable of handling petabyte-scale data.
  • Lead research initiatives focused on improving model accuracy, efficiency, and fairness in Generative AI.
  • Optimize model inference times for real-time applications using distributed computing.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate closely with product teams to translate research breakthroughs into production-ready features.
  • Stay ahead of industry trends and implement best practices in MLOps and AI governance.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (Ph.D. preferred).
  • 5+ years of professional experience in Deep Learning, Natural Language Processing (NLP), or Computer Vision.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and Kubernetes.
  • Experience with LLM fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering.
  • Excellent communication skills and the ability to present complex technical concepts to non-technical stakeholders.

Required Skills

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

Ready to Take This Challenge?

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