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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

Nexus AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus AI Solutions at the forefront of 2026's technological revolution! We're seeking a visionary Senior AI/ML Engineer to architect next-generation intelligent systems that will redefine industries. Our team pioneers breakthroughs in autonomous decision-making, predictive analytics, and adaptive neural networks. You'll collaborate with Nobel laureates and industry disruptors in a hyper-growth environment where your innovations directly impact millions of lives.

Enjoy unparalleled resources, flexible remote work options, and a culture that celebrates intellectual curiosity. Our state-of-the-art R&D lab in San Francisco's innovation district offers cutting-edge tools and unlimited experimentation opportunities.

Responsibilities

  • Design and implement scalable ML pipelines for real-time data processing and autonomous systems
  • Lead research in generative AI and quantum-enhanced algorithms
  • Architect ethical AI frameworks ensuring bias mitigation and transparency
  • Mentor cross-functional teams in AI adoption and implementation
  • Develop patent-pending solutions for climate modeling and personalized medicine
  • Optimize neural networks for edge computing and IoT ecosystems
  • Collaborate with product teams to translate AI capabilities into market-leading products

Qualifications

  • PhD or MS in Computer Science, AI, or related field with 5+ years of applied ML experience
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Proven track record of deploying production-grade AI systems serving 1M+ users
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Mastery of PyTorch, TensorFlow, and distributed computing frameworks
  • Strong background in MLOps, CI/CD for ML, and cloud deployment (AWS/GCP)
  • Exceptional problem-solving skills with complex, multi-disciplinary challenges

Required Skills

Python TensorFlow PyTorch Reinforcement Learning Neural Networks MLOps AWS GCP NLP Computer Vision Quantum Computing

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