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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

The Future is Now at 2026. We are the pioneers of next-generation cognitive computing, building the systems that will define the era of autonomous intelligence. We are seeking a visionary Senior Generative AI Engineer to lead our research into Large Language Models (LLMs), multimodal systems, and ethical AI frameworks.

If you are passionate about pushing the boundaries of what is possible with code and want to work in a high-performing, elite engineering environment, we want to meet you.

Responsibilities

  • Design and implement state-of-the-art generative models and neural architectures optimized for real-time inference.
  • Lead the full machine learning lifecycle, from data curation and training to fine-tuning and deployment on scalable cloud infrastructure.
  • Collaborate with cross-functional teams of researchers, ethicists, and product managers to integrate AI solutions into consumer products.
  • Optimize model performance, reduce latency, and improve throughput for high-traffic applications.
  • Establish best practices for reproducibility, monitoring, and safety in AI model deployment.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or artificial intelligence.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with distributed training, MLOps, and cloud platforms (AWS, GCP, or Azure).
  • Track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or deploying industry-leading models.

Required Skills

Python PyTorch TensorFlow MLOps LLMs Generative AI Deep Learning Cloud Computing AWS GCP

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