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Senior AI Engineer at Vision 2026

Vision 2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the future of technology? Vision 2026 is a cutting-edge research lab pioneering the next generation of predictive AI and quantum interfaces. We are looking for a visionary Senior AI Engineer to join our elite team in San Francisco.

In this role, you will architect scalable machine learning models that will power our proprietary ecosystem. You will work directly with CTOs and product leads to translate complex algorithms into user-centric experiences. If you are obsessed with performance, ethics in AI, and building systems that matter, we want to hear from you.

Why Join Vision 2026?

  • Work on groundbreaking projects that define the 2026 tech landscape.
  • Competitive equity package and top-tier healthcare.
  • Flexible remote-first culture with HQ in the heart of SF.

Responsibilities

  • Design, train, and deploy state-of-the-art neural networks and deep learning models.
  • Optimize existing algorithms for high-throughput, low-latency environments.
  • Collaborate with data scientists to refine feature sets and model accuracy.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Ensure system scalability and data integrity across cloud infrastructure.
  • Stay ahead of the curve on emerging AI technologies and research papers.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of delivering production-grade machine learning systems.
  • Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.

Required Skills

Python Machine Learning Deep Learning AI PyTorch TensorFlow AWS GCP Docker Kubernetes Natural Language Processing Computer Vision

Ready to Take This Challenge?

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