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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're seeking visionary AI/ML Engineers to architect the next generation of autonomous systems that will redefine human-machine interaction. Our cutting-edge R&D division focuses on quantum-entangled neural networks and predictive behavioral analytics. This is your chance to shape the future while working with world-class researchers and deploying solutions that impact billions.

What you'll achieve:

  • Develop breakthrough ML models for real-time adaptive systems
  • Lead quantum computing integration projects
  • Collaborate with neuromorphic hardware teams
  • Patent-pending technology development opportunities

Responsibilities

  • Design and implement scalable ML pipelines for edge-to-cloud deployment
  • Research and prototype novel neural architectures for 2026's computational landscape
  • Optimize algorithms for energy-efficient quantum processors
  • Lead cross-functional teams in translating research into production-ready systems
  • Architect ethical AI frameworks for autonomous decision-making systems
  • Contribute to 3 patent applications annually
  • Mentor junior researchers through our 'Future Leaders' program

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent industry experience)
  • 5+ years production ML experience with TensorFlow/PyTorch
  • Published research in top-tier conferences (NeurIPS, ICML, etc.)
  • Expertise in quantum machine learning algorithms
  • Proficiency in distributed computing frameworks (Spark, Dask)
  • Strong background in reinforcement learning and generative models
  • Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
  • Fluency in Python/C++ with high-performance optimization skills

Required Skills

Machine Learning Quantum Computing TensorFlow PyTorch Reinforcement Learning Generative AI Distributed Systems Neuromorphic Hardware Python C++ Research Ethics in AI

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