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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer | Project 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join the Architects of the Future

Nexus Horizon Systems is leading the charge on Project 2026, a revolutionary initiative designed to pioneer the next generation of autonomous AI infrastructure. We are seeking a visionary Senior AI Engineer to join our elite R&D division in San Francisco. If you are passionate about pushing the boundaries of machine learning and want to build systems that define the era of 2026 and beyond, we want to hear from you.

Why Join Project 2026?

  • Impactful Work: Directly contribute to the core algorithms that will power the future of enterprise intelligence.
  • Top-Tier Talent: Collaborate with the brightest minds in the tech industry.
  • Future-Ready: Work with cutting-edge quantum-ready infrastructure and next-gen deep learning frameworks.

Don't just build software; build the foundation for the future.

Responsibilities

  • Design, develop, and deploy scalable deep learning models for Project 2026’s core infrastructure.
  • Architect high-throughput, low-latency data pipelines capable of processing petabytes of real-time information.
  • Optimize existing neural networks for edge deployment and massive distributed computing environments.
  • Collaborate with cross-functional teams of security experts and quantum physicists to integrate hybrid AI systems.
  • Mentor junior engineers and conduct code reviews to maintain the highest standards of technical excellence.
  • Stay abreast of the latest research in transformer architectures and generative AI to innovate continuously.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 5 years of professional experience in building production-level machine learning systems.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
  • Deep experience with Large Language Models (LLMs) and Natural Language Processing (NLP) pipelines.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Demonstrated ability to lead complex technical projects and drive innovation from concept to deployment.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Large Language Models Distributed Systems Kubernetes AWS CUDA Machine Learning Engineering

Ready to Take This Challenge?

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

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