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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - 2026 Visionary

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of technological evolution. We're pioneering the next wave of AI-driven solutions that will redefine industries by 2026. As an AI/ML Engineer, you'll architect intelligent systems that transform how businesses operate, learn, and innovate. Collaborate with world-class researchers to build scalable models that push the boundaries of what's possible.

Our culture values audacious thinking and rapid prototyping. You'll work in cutting-edge environments with state-of-the-art infrastructure, tackling challenges that directly impact humanity's technological trajectory. We offer competitive equity, comprehensive benefits, and the autonomy to explore revolutionary ideas.

Responsibilities

  • Design and implement advanced ML pipelines for predictive analytics and autonomous systems
  • Develop novel neural architectures for real-time data processing and edge computing
  • Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms
  • Lead research initiatives in generative AI and quantum-enhanced machine learning
  • Optimize models for scalability, efficiency, and ethical AI deployment
  • Document breakthrough methodologies and publish findings in industry journals

Qualifications

  • PhD in Computer Science/ML or equivalent experience with 5+ years in AI development
  • Expertise in PyTorch, TensorFlow, and distributed computing frameworks
  • Proven track record deploying production-grade ML systems at scale
  • Strong background in reinforcement learning and NLP architectures
  • Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms (AWS/GCP)
  • Publication record at NeurIPS/ICML or equivalent conferences preferred

Required Skills

AI/ML Deep Learning Python PyTorch TensorFlow Reinforcement Learning NLP MLOps Distributed Systems

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