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Information Technology 🏢 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

NexusMind AI Labs
San Francisco
Salary Estimate
USD 180.000 – USD 260.000
Live Update
10 Mei 2026
Deadline
10 Mei 2027

Job Description

At NexusMind AI Labs, we are building the future of autonomous intelligence. We are seeking a visionary Senior AI Engineer to join our core research and development team. You will work on cutting-edge generative models, deep learning architectures, and scalable inference engines that process petabytes of data.

This is a rare opportunity to influence the trajectory of AGI research while working with a world-class team of scientists and engineers in the heart of San Francisco.

Responsibilities

  • Architect and deploy large-scale transformer-based models into production environments.
  • Collaborate with research scientists to translate academic breakthroughs into scalable software solutions.
  • Optimize model training pipelines for multi-node GPU clusters to reduce latency and cost.
  • Develop and maintain robust evaluation frameworks for monitoring model performance and bias.
  • Mentor junior engineers and contribute to our internal AI/ML best practices and documentation.
  • Participate in design reviews to ensure high-performance, maintainable, and secure system architecture.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in deep learning, natural language processing, or computer vision.
  • Proficiency in Python and deep learning frameworks like PyTorch or JAX.
  • Strong background in distributed computing and experience with CUDA/Triton optimization.
  • Solid understanding of MLOps, including CI/CD for AI, data versioning, and feature stores.
  • Proven track record of delivering AI-driven products at scale.
  • Excellent analytical, problem-solving, and communication skills.

Required Skills

Artificial Intelligence Deep Learning PyTorch Large Language Models MLOps Distributed Systems Python CUDA

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