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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
14 Mei 2026
Deadline
14 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 and development team in San Francisco. We build cutting-edge generative models and autonomous systems that solve complex, real-world challenges at scale.

You will work in a high-impact environment alongside world-class researchers, leveraging massive datasets and state-of-the-art GPU clusters to deploy production-grade AI solutions.

Responsibilities

  • Design, architect, and deploy large-scale machine learning models into production environments.
  • Collaborate with cross-functional teams to integrate generative AI capabilities into core product features.
  • Optimize neural network architectures for latency, throughput, and memory efficiency.
  • Conduct cutting-edge research in NLP, computer vision, or reinforcement learning to maintain our competitive edge.
  • Implement rigorous testing frameworks to ensure model robustness, safety, and alignment.
  • Mentor junior engineers and contribute to an engineering culture of excellence and continuous learning.
  • Monitor and improve model performance in production using telemetry and feedback loops.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of experience in deep learning, with proven expertise in frameworks like PyTorch or JAX.
  • Proficiency in Python and C++ for high-performance computing tasks.
  • Strong understanding of transformer architectures, LLM fine-tuning, and RAG pipelines.
  • Experience with cloud infrastructure (AWS/GCP/Azure) and MLOps tools like Kubeflow or MLflow.
  • A track record of publishing research or shipping complex AI products to production.
  • Excellent analytical skills and the ability to translate ambiguous business requirements into technical solutions.

Required Skills

Artificial Intelligence Deep Learning PyTorch Large Language Models MLOps Python Cloud Computing NLP

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