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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Vision

Nexus AI Innovations
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 at Nexus AI Innovations! We're seeking a visionary AI/ML Engineer to architect intelligent systems that will redefine industries by 2026. Join our elite team developing next-gen AI solutions that push the boundaries of machine learning and autonomous systems. Work in a cutting-edge environment where your innovations directly impact global technological advancement.

We offer unparalleled opportunities to work with quantum computing prototypes, neural network architectures, and ethical AI frameworks. Our collaborative culture encourages bold thinking and rapid prototyping, supported by state-of-the-art resources and flexible work arrangements.

Responsibilities

  • Design and deploy advanced ML models for autonomous systems and predictive analytics
  • Lead R&D on 2026-era AI technologies including neuromorphic computing
  • Develop scalable AI infrastructure processing petabyte-scale datasets
  • Collaborate with quantum computing teams to hybridize AI-quantum workflows
  • Create ethical AI governance frameworks for responsible deployment
  • Mentor cross-functional teams in AI-first development methodologies
  • Pioneer novel neural network architectures for edge computing optimization

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry experience
  • Expertise in PyTorch/TensorFlow with published research in top-tier conferences
  • Proficiency in quantum machine learning frameworks (Qiskit, Cirq)
  • Track record of deploying production AI systems at scale (>10M users)
  • Deep understanding of neuromorphic computing and spiking neural networks
  • Strong background in MLOps and cloud-native AI infrastructure (AWS/GCP)
  • Experience with ethical AI frameworks and bias mitigation techniques

Required Skills

Machine Learning Deep Learning Quantum Computing Neuromorphic AI PyTorch TensorFlow MLOps Quantum Machine Learning AI Ethics Scalable Systems

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