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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer

2026 AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of the artificial intelligence revolution. 2026 AI is building the foundational models that will define the next decade of human-machine interaction. We are seeking a visionary Senior AI Engineer to join our elite team and help architect the neural networks of tomorrow.

In this role, you will work on large-scale generative models, optimizing for both performance and ethical alignment. You will collaborate with world-class researchers and engineers to push the boundaries of Natural Language Processing and Computer Vision. If you are passionate about the future of AI and want to be part of a company shaping the landscape of 2026 and beyond, we want to hear from you.

What you will do:

  • Design, train, and deploy state-of-the-art deep learning models at scale.
  • Optimize model inference pipelines to ensure sub-millisecond latency.
  • Conduct research to improve model accuracy and reduce hallucinations.
  • Partner with product teams to integrate AI capabilities into consumer-facing applications.
  • Mentor junior engineers and contribute to our open-source AI libraries.

Responsibilities

  • Architect scalable machine learning pipelines using Python and TensorFlow/PyTorch.
  • Experiment with novel architectures to improve model performance on complex benchmarks.
  • Implement rigorous testing and validation protocols for AI safety.
  • Communicate complex technical concepts to non-technical stakeholders.
  • Stay current with the latest research in the AI field and apply it to our products.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of professional experience in machine learning and deep learning.
  • Strong proficiency in Python, C++, or CUDA.
  • Deep understanding of neural network architectures, transformers, and optimization techniques.
  • Experience with distributed computing frameworks (e.g., Ray, Kubernetes, Spark).
  • Proven track record of deploying models in production environments.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker SQL NLP Computer Vision Machine Learning CUDA Linux

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