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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nebula Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite team in San Francisco. As we prepare to redefine the technological landscape in 2026, we need a builder who thrives on complexity and innovation. You will lead the architecture of next-generation generative models and large language systems.

At Nebula Innovations, we don't just predict the future; we engineer it. If you are passionate about pushing the boundaries of artificial intelligence and want to work in an environment that rewards bold thinking, this is your opportunity.

What You'll Do:

  • Architect and deploy scalable machine learning models and deep learning systems.
  • Optimize inference pipelines for high-throughput, low-latency environments.
  • Collaborate with cross-functional product teams to translate business needs into AI solutions.
  • Conduct research to implement state-of-the-art algorithms in production.
  • Mentor junior engineers and drive technical excellence across the department.

Join us in shaping the future of intelligent systems.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep learning architectures.
  • Optimize existing AI pipelines for latency, throughput, and production stability.
  • Collaborate with product managers and data scientists to translate business requirements into technical solutions.
  • Research and implement cutting-edge algorithms to stay ahead of industry trends.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field (PhD preferred).
  • Proven experience with Python, PyTorch, TensorFlow, or JAX.
  • Deep expertise in Natural Language Processing (NLP) or Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of data structures, algorithms, and software engineering best practices.

Required Skills

Python TensorFlow PyTorch NLP Machine Learning Deep Learning Cloud Computing Docker Kubernetes SQL

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