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Senior AI Research Engineer (2026 Horizon)

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the future? Nexus Future Systems is seeking a visionary Senior AI Research Engineer to lead our 2026 Horizon initiatives. As a pioneer in next-generation machine learning, we are building the foundational architectures that will power the digital landscape of the coming decade. In this role, you will not just adapt to the future; you will engineer it.

Join a team of elite engineers and data scientists committed to pushing the boundaries of generative AI, neural interfaces, and autonomous systems. We offer a competitive compensation package, equity opportunities, and the chance to work on projects that will have a global impact.

Why Join Us?

  • Work on cutting-edge 2026 roadmap technologies.
  • Flexible remote-first culture with a focus on high performance.
  • Top-tier mentorship and professional development.

Responsibilities

  • Lead the architectural design and development of proprietary machine learning models for the 2026 era.
  • Research and implement novel algorithms to solve complex scalability and efficiency challenges.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence.
  • Collaborate closely with cross-functional product teams to translate theoretical research into production-ready solutions.
  • Conduct rigorous testing and validation to ensure system robustness and security.
  • Stay ahead of industry trends in AI, quantum computing, and big data analytics.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks (PyTorch, TensorFlow).
  • Strong proficiency in Python, C++, and distributed systems.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, CVPR).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.
  • Experience with cloud infrastructure (AWS, GCP) and MLOps pipelines.

Required Skills

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

Ready to Take This Challenge?

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

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