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Information Technology 🏢 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

NexusMind AI Labs
San Francisco
Salary Estimate
USD 180.000 – USD 240.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to shape the future of machine intelligence? NexusMind AI Labs is seeking a visionary Senior AI Engineer to join our core research team in San Francisco. We are pushing the boundaries of generative models and neural architecture to solve complex global challenges.

You will work alongside industry-leading researchers and engineers in a high-impact, collaborative environment. We value deep technical rigor, creative problem-solving, and the ability to turn complex research papers into scalable production systems.

Responsibilities

  • Architect and deploy sophisticated deep learning models for large-scale production environments.
  • Optimize neural network performance to achieve state-of-the-art inference speeds and accuracy.
  • Collaborate with cross-functional teams to integrate AI capabilities into our primary product suite.
  • Conduct cutting-edge research to advance the company's proprietary technology stack.
  • Design and maintain robust data pipelines for model training and evaluation.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning.

Qualifications

  • M.S. or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in machine learning engineering or applied research.
  • Expert-level proficiency in Python and deep learning frameworks (PyTorch or TensorFlow).
  • Solid understanding of transformer architectures, LLMs, and reinforcement learning.
  • Proven track record of deploying scalable AI models in cloud environments (AWS/GCP/Azure).
  • Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning PyTorch Deep Learning Python Generative AI MLOps

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