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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

Nebula Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite research division. At Nebula Innovations, we are not just building software; we are architecting the cognitive frameworks of tomorrow. If you possess a deep understanding of machine learning architectures and a passion for deploying scalable AI solutions, we want to hear from you.

As a key member of our team, you will bridge the gap between theoretical research and production-grade engineering. You will work with a diverse team of data scientists, product managers, and researchers to push the boundaries of what is possible with Generative AI and Natural Language Processing.

Why Join Us?

  • Competitive compensation and equity packages.
  • Flexible remote-first culture with annual co-working stipends.
  • Access to cutting-edge hardware and cloud infrastructure.
  • Professional development and continuous learning budgets.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and algorithms.
  • Collaborate with data scientists to translate research findings into production-ready code.
  • Optimize model inference latency and improve overall system scalability.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI research and apply them to our products.

Qualifications

  • 5+ years of professional experience in software engineering, with a focus on AI/ML.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow) and cloud platforms (AWS, GCP).
  • B.S., M.S., or Ph.D. in Computer Science, Mathematics, or a related technical field.

Required Skills

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

Ready to Take This Challenge?

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