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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer - 2026

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

Job Description

We are pioneering the future of autonomous intelligence. At 2026 Systems, we are building the neural infrastructure for the next decade. We are seeking a visionary Senior AI Engineer to lead the development of cutting-edge generative models and machine learning pipelines. If you are passionate about the intersection of data science and human creativity, join us in shaping the world of 2026 and beyond.


Why join 2026 Systems?
We offer a competitive compensation package, equity options, and the opportunity to work on projects that define the future. Our team is composed of world-class engineers and researchers dedicated to pushing the boundaries of what is possible.

Responsibilities

  • Architect and implement scalable machine learning pipelines using Python and PyTorch.
  • Lead the research and development of Large Language Models (LLMs) and Generative AI solutions.
  • Optimize deep learning models for inference speed and accuracy on edge devices.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Stay at the forefront of AI research to identify and implement emerging technologies.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of professional experience in machine learning and deep learning engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Strong experience with NLP, Computer Vision, or Reinforcement Learning.
  • Proven track record of deploying ML models to production environments.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision CUDA Agile AWS Google Cloud

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