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Senior AI Research Engineer (2026 Vision) | San Francisco

Horizon 2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the AI landscape of 2026? Horizon 2026 Labs is seeking a visionary Senior AI Research Engineer to pioneer breakthrough technologies that will define the next generation of artificial intelligence.

We are not just building software for today; we are engineering the infrastructure for tomorrow. As a key member of our R&D division, you will lead the charge in developing scalable neural architectures and quantum-assisted learning models. If you thrive in a high-performance environment and want to leave a lasting legacy in the tech industry, this is your opportunity to shape the future.

Why Join Us?

  • Work on cutting-edge projects that align with the 2026 strategic roadmap.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with access to state-of-the-art research facilities in San Francisco.

Responsibilities

  • Architect Neural Architectures: Design and implement novel deep learning models and transformer architectures optimized for the 2026 computing landscape.
  • Quantum Integration: Explore and integrate quantum computing principles to enhance classical AI processing power.
  • R&D Leadership: Spearhead research initiatives to solve complex, unsolved problems in natural language processing and computer vision.
  • Paper Publication: Author and publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR).
  • Team Mentorship: Guide junior researchers and engineers, fostering a culture of innovation and continuous learning.
  • Product Translation: Bridge the gap between theoretical research and practical product deployment.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML research or software development.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and C++.
  • Research Skills: Strong background in statistical learning, optimization algorithms, and large language models.
  • Innovation Mindset: Demonstrated ability to think strategically about long-term technological trends.
  • Communication: Excellent written and verbal communication skills for technical documentation and presentations.

Required Skills

Python PyTorch TensorFlow C++ Machine Learning Deep Learning NLP Computer Vision Quantum Computing Research Algorithms

Ready to Take This Challenge?

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