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Information Technology 🏢 Full Time ⭐️ Verified

AI Sustainability Engineer

FutureTech Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join our pioneering team at FutureTech Innovations and shape the future of sustainable AI. We're seeking an AI Sustainability Engineer to develop cutting-edge solutions that reduce the environmental impact of artificial intelligence while maximizing efficiency. This role combines advanced machine learning with green computing principles to create scalable, eco-friendly systems for Fortune 500 clients worldwide. You'll work in our state-of-the-art San Francisco lab alongside world-class researchers and industry disruptors.

Our ideal candidate thrives at the intersection of technology and sustainability, passionate about reducing AI's carbon footprint without compromising performance. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including equity and professional development stipends.

Responsibilities

  • Design and implement energy-efficient AI algorithms and neural network architectures
  • Develop carbon footprint tracking systems for machine learning pipelines
  • Optimize cloud-based ML workloads for minimal energy consumption
  • Collaborate with hardware teams to design sustainable computing infrastructure
  • Create sustainability benchmarks and reporting frameworks for AI systems
  • Lead green AI initiatives for enterprise clients in manufacturing, logistics, and energy sectors
  • Research and integrate emerging sustainable technologies (quantum computing, neuromorphic chips)
  • Mentor junior engineers on sustainable development practices

Qualifications

  • MSc/PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record optimizing ML models for energy efficiency
  • Familiarity with carbon accounting methodologies (GHG Protocol, ISO 14064)
  • Experience with cloud platforms (AWS, GCP, Azure) and sustainable computing practices
  • Strong background in at least one sustainability domain (renewable energy, circular economy, etc.)
  • Published research in sustainable AI or green computing preferred
  • Excellent communication skills for presenting technical concepts to diverse stakeholders

Required Skills

Machine Learning Python TensorFlow PyTorch Cloud Computing Carbon Footprint Analysis Energy Optimization Distributed Systems Green Computing AI Ethics

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