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Senior AI Engineer - The 2026 Initiative

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

Job Description

Shape the Future of Intelligence

We are looking for a visionary Senior AI Engineer to join The 2026 Initiative, our cutting-edge research division dedicated to advancing Artificial General Intelligence (AGI) capabilities. If you are passionate about pushing the boundaries of what machines can learn and do, this is your opportunity to lead the charge in developing the foundational models of tomorrow.

Why Join Us?

At Nexus Future Labs, we are not just building software; we are architecting the future. You will work in a high-performance environment where innovation is the only metric that matters. We offer competitive equity, flexible remote work options, and the chance to work with the brightest minds in the tech industry.

Responsibilities

  • Lead the architecture and development of next-generation neural network models and generative AI systems.
  • Optimize large-scale machine learning pipelines for inference speed and memory efficiency.
  • Collaborate with cross-functional teams to integrate AI models into scalable production environments.
  • Conduct cutting-edge research to improve model accuracy, robustness, and safety.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Stay at the forefront of the industry by analyzing emerging research and applying novel techniques to our core products.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Expert proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and MLOps practices.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or delivering high-impact production models.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP Distributed Systems AI Research

Ready to Take This Challenge?

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