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Senior AI Research Scientist - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the future of technology?

Nexus Future Labs is pioneering the next generation of artificial intelligence with our flagship initiative, Project 2026. We are seeking a visionary Senior AI Research Scientist to lead the development of autonomous systems and next-gen predictive models. This is a rare opportunity to work on high-impact, cutting-edge technology that will redefine industry standards.

Why Join Us?

  • Impactful Work: Directly contribute to the roadmap of Project 2026, solving complex problems that matter.
  • Top-Tier Team: Collaborate with world-class engineers and researchers in the heart of Silicon Valley.
  • Competitive Package: We offer a market-leading salary, equity options, and comprehensive benefits.

If you are passionate about pushing the boundaries of what is possible with AI, we want to hear from you.

Responsibilities

  • Lead the architectural design and training of proprietary deep learning models for Project 2026.
  • Conduct rigorous research to improve model accuracy, efficiency, and scalability in production environments.
  • Collaborate with cross-functional teams to translate technical research into practical, user-centric solutions.
  • Optimize neural networks for high-performance inference on edge devices and cloud infrastructure.
  • Stay abreast of the latest advancements in the AI landscape and integrate new methodologies into our stack.
  • Mentor junior researchers and data scientists, fostering a culture of continuous learning and innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in AI/ML engineering, with a strong focus on Deep Learning or Generative AI.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Strong understanding of distributed computing, MLOps pipelines, and cloud platforms (AWS/GCP/Azure).
  • Demonstrated track record of publishing in top-tier AI conferences (NeurIPS, ICML, ACL) or equivalent experience.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP CUDA GPU Acceleration MLOps AWS GCP

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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