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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Shaping the Future (2026)

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as we pioneer breakthrough AI/ML solutions for 2026 and beyond. We're seeking visionary engineers to transform industries through intelligent systems that redefine human-machine collaboration. Our cutting-edge R&D hub in San Francisco offers unparalleled resources to develop scalable, ethical AI architectures that will shape tomorrow's digital landscape.

This role offers exposure to quantum computing integration, generative AI optimization, and autonomous system development. You'll collaborate with Nobel laureates and industry disruptors while leveraging our $500M innovation fund. Enjoy flexible work arrangements, unlimited learning stipends, and equity in a company valued at $10B+.

Responsibilities

  • Architect and implement next-gen ML models using federated learning and quantum algorithms
  • Develop ethical AI frameworks for bias mitigation and explainable AI systems
  • Lead cross-functional teams in deploying AI solutions across healthcare, finance, and climate tech sectors
  • Optimize neural networks for edge computing and IoT ecosystems
  • Research and prototype novel AI applications using 6G-enabled infrastructure
  • Mentor junior engineers in responsible AI development practices
  • Collaborate with product teams to translate AI capabilities into market-leading features

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in Python, TensorFlow, PyTorch, and distributed ML frameworks
  • Proven track record deploying production-grade AI systems at scale
  • Strong background in NLP, computer vision, and reinforcement learning
  • Familiarity with MLOps pipelines, Kubernetes, and cloud-native architectures
  • Publication record in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Experience with ethical AI governance frameworks and responsible innovation practices

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch NLP Computer Vision Quantum Computing MLOps Ethical AI

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