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Senior AI/ML Engineer (2026 Vision)

Quantum Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to build the intelligence of tomorrow?

Quantum Horizon Systems is seeking a visionary Senior AI/ML Engineer (2026 Vision) to lead our cutting-edge research division. In 2026, we are not just predicting the future; we are engineering it. As a key member of our elite technical team, you will design and deploy next-generation neural architectures that redefine the boundaries of artificial intelligence. This is a rare opportunity to shape the trajectory of technology for the next decade.

We offer a competitive compensation package, including equity options, a comprehensive benefits package, and the autonomy to innovate without bureaucratic red tape. If you are passionate about the future of AI and want to leave a lasting legacy, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning models and neural networks designed for the 2026 landscape.
  • Lead research initiatives in Generative AI, Large Language Models (LLMs), and reinforcement learning.
  • Collaborate with cross-functional teams to integrate AI solutions into real-world enterprise applications.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.
  • Optimize model performance for latency, throughput, and energy efficiency in edge environments.
  • Stay ahead of industry trends to ensure our technology stack remains future-proof.
  • Define best practices for data governance and AI ethics in our development lifecycle.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • 5+ years of hands-on experience in machine learning, deep learning, and natural language processing.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern GPU computing frameworks.
  • Proven track record of shipping production-grade AI systems at scale.
  • Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-impact environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP Generative AI Cloud Computing AWS GCP System Design

Ready to Take This Challenge?

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