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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Research Scientist - 2026

2026 Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the future of intelligence? 2026 Innovations is seeking a visionary Lead AI Research Scientist to spearhead our next-generation algorithms and shape the trajectory of artificial general intelligence. We are building the infrastructure for a world that doesn't just use technology, but understands it. Join us in the heart of Silicon Valley to work on projects that redefine human-machine interaction.

As a key member of our elite R&D team, you will bridge the gap between theoretical research and practical application, pushing the boundaries of what is possible in 2026 and beyond.

Responsibilities

  • Lead the end-to-end research and development of cutting-edge machine learning models, focusing on scalability and efficiency.
  • Collaborate with cross-functional engineering teams to deploy advanced AI solutions into production environments.
  • Publish high-impact research papers and present findings at top-tier international conferences (NeurIPS, ICML, etc.).
  • Design and optimize neural architectures to solve complex, unstructured problems in natural language processing and computer vision.
  • Mentor junior researchers and PhD students, fostering a culture of innovation and scientific excellence.
  • Conduct rigorous experiments to validate hypotheses and drive the technical roadmap of the company.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
  • Minimum of 5+ years of experience in research roles at top-tier tech companies, research labs (FAIR, DeepMind), or academia.
  • Extensive knowledge of deep learning frameworks such as PyTorch or TensorFlow.
  • Strong proficiency in Python and C++.
  • Proven track record of publishing in peer-reviewed conferences and journals.
  • Exceptional problem-solving skills and the ability to work independently in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision Research AI C++ Data Structures

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