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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

At 2026 Technologies, we are not just predicting the future; we are building it. As a pioneer in next-generation neural architectures and generative AI, we are seeking a highly skilled Senior AI Engineer to join our elite research division in San Francisco.

In this pivotal role, you will bridge the gap between theoretical research and scalable production systems. You will work alongside world-class researchers and engineers to develop AI models that define the standard for the industry in the years to come.

Our Commitment to You:

  • Competitive compensation and equity package.
  • Comprehensive health, dental, and vision coverage.
  • Unlimited PTO and flexible remote work options.
  • Access to cutting-edge hardware and cloud resources.

If you are passionate about pushing the boundaries of what is possible with artificial intelligence, we want to hear from you.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models for large-scale applications.
  • Conduct research to identify novel architectures and algorithms that improve model efficiency.
  • Collaborate with product teams to translate complex AI concepts into user-friendly features.
  • Optimize existing data pipelines and model inference for speed and cost-effectiveness.
  • Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in machine learning and deep learning engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of distributed systems, cloud computing (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of publishing research or delivering production-level AI products.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Distributed Systems Docker Kubernetes AWS

Ready to Take This Challenge?

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