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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer at 2026

2026 Tech Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join the Visionaries at 2026

Are you ready to define the future of artificial intelligence? 2026 is a next-generation technology firm pioneering the next leap in generative AI and autonomous systems. We are looking for a visionary Senior AI Research Engineer to join our elite team in San Francisco. In this role, you won't just write code; you will architect the neural networks that will power the digital landscape of tomorrow.

Why 2026?

  • Impact: Work on high-impact projects that scale globally.
  • Innovation: Access to cutting-edge hardware and compute resources.
  • Culture: A diverse, inclusive, and high-performance environment.

If you are passionate about solving complex problems and pushing the boundaries of what's possible in AI, we want to hear from you.

Responsibilities

  • Research & Development: Design and implement novel deep learning architectures and algorithms to solve unstructured problems.
  • Model Optimization: Optimize existing models for speed, accuracy, and efficiency, reducing inference costs by up to 40%.
  • Technical Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural discussions.
  • Prototyping: Rapidly prototype and validate concepts using Python, PyTorch, and TensorFlow.
  • Collaboration: Partner with product and engineering teams to translate research into production-ready APIs.
  • Documentation: Maintain comprehensive technical documentation and research papers for publication.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in machine learning, deep learning, or NLP.
  • Technical Skills: Proficiency in Python, C++, and at least one deep learning framework (PyTorch or TensorFlow).
  • Domain Knowledge: Strong understanding of transformer models, diffusion models, or reinforcement learning.
  • Problem Solving: Ability to debug complex systems and optimize performance under tight constraints.
  • Communication: Excellent written and verbal communication skills for cross-functional collaboration.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning NLP Computer Vision Cloud Computing AWS Research

Ready to Take This Challenge?

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