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Senior AI/ML Engineer (2026 Vision)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we architect the future of artificial intelligence. We're seeking a visionary Senior AI/ML Engineer to pioneer next-generation systems that will redefine industries by 2026. This role offers unparalleled opportunity to shape AI ethics, quantum-enhanced algorithms, and autonomous decision frameworks in a collaborative, cutting-edge environment.

As part of our elite Future Systems Division, you'll work with Nobel laureates and industry disruptors to develop scalable ML solutions addressing climate modeling, personalized healthcare, and sustainable energy systems. Our commitment to ethical innovation ensures your work creates measurable positive impact on global challenges.

Responsibilities

  • Design and implement quantum-resistant ML architectures for 2026-era data challenges
  • Lead development of ethical AI frameworks ensuring fairness, transparency, and accountability
  • Create autonomous systems integrating federated learning and edge computing paradigms
  • Pioneer novel approaches to multimodal neural networks processing unstructured data at scale
  • Collaborate with cross-functional teams to deploy AI solutions in regulated industries
  • Mentor junior engineers on responsible AI development practices
  • Contribute to open-source projects advancing global AI capabilities

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow and distributed ML frameworks (Ray, Horovod)
  • Published research in top-tier AI conferences (NeurIPS, ICML) or equivalent impact
  • Proven track record building production systems processing >10TB daily data
  • Deep understanding of quantum computing fundamentals and NISQ-era algorithms
  • Certification in AI Ethics (e.g., IEEE, ACM) or equivalent practical experience
  • Strong background in reinforcement learning for complex decision systems

Required Skills

Python PyTorch TensorFlow Quantum Computing Reinforcement Learning Ethics in AI Distributed Systems NLP Computer Vision

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