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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer at 2026

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you a visionary engineer ready to define the next era of artificial intelligence? 2026 is seeking a world-class Senior AI Engineer to lead the development of our flagship neural architecture.

We are not just building for today; we are engineering for tomorrow. Our mission is to pioneer autonomous systems that redefine human-machine interaction. As a key member of our elite research team, you will tackle unsolved problems in Large Language Models (LLMs), computer vision, and predictive analytics.

At 2026, we offer a culture of radical innovation, top-tier resources, and the freedom to experiment. If you are passionate about pushing the boundaries of what is possible in AI, this is your chance to leave a lasting legacy.

Responsibilities

  • Design, train, and deploy cutting-edge machine learning models using Python and PyTorch.
  • Lead the architecture and optimization of large-scale neural networks for real-time inference.
  • Collaborate with cross-functional teams of data scientists, researchers, and engineers to drive product innovation.
  • Conduct rigorous research and publish findings in top-tier conferences and journals.
  • Mentor junior engineers and foster a culture of continuous learning and technical excellence.
  • Optimize infrastructure for scalability, latency, and cost efficiency.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in AI/ML, with a strong portfolio of deployed models.
  • Deep expertise in deep learning frameworks (TensorFlow, PyTorch, JAX) and cloud platforms (AWS, GCP).
  • Strong proficiency in Python, C++, and distributed systems.
  • Experience with LLMs (e.g., GPT, LLaMA) and RAG architectures.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Required Skills

Python PyTorch TensorFlow AWS GCP LLMs Deep Learning NLP Machine Learning Computer Vision SQL

Ready to Take This Challenge?

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