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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary Role

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

Job Description

Join Nexus Future Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking an exceptional AI/ML Engineer to architect intelligent systems that redefine industry standards. In this pivotal role, you'll collaborate with cross-functional teams to develop cutting-edge machine learning models, driving transformative impact across autonomous systems, predictive analytics, and human-AI collaboration. Our dynamic environment offers unparalleled opportunities to shape the future of artificial intelligence while working alongside world-class researchers and engineers.

Responsibilities

  • Design and implement scalable ML pipelines for next-gen autonomous decision-making systems
  • Lead research and development in generative AI and reinforcement learning applications
  • Optimize neural network architectures for real-time edge computing deployment
  • Collaborate with product teams to translate business requirements into AI solutions
  • Develop robust MLOps frameworks ensuring model reliability and continuous improvement
  • Contribute to ethical AI frameworks and bias mitigation strategies
  • Mentor junior engineers and publish research in top-tier AI conferences

Qualifications

  • PhD or Master's in Computer Science, AI, or related field with 5+ years experience
  • Expertise in PyTorch/TensorFlow and distributed training frameworks
  • Proven track record deploying production-grade ML models at scale
  • Deep understanding of transformer architectures and LLM optimization
  • Strong programming skills in Python, C++, and cloud-native technologies (AWS/GCP)
  • Experience with computer vision, NLP, and multimodal systems
  • Published research in NeurIPS/ICML/ICLR or equivalent impact
  • Passion for ethical AI and responsible development practices

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Computer Vision NLP MLOps Reinforcement Learning Generative AI Distributed Systems AWS GCP Python C++ Research Ethics

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