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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision Lab

FutureForge Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join our elite 2026 Vision Lab at FutureForge Inc., where we're architecting tomorrow's breakthrough technologies today. As a Senior AI/ML Engineer, you'll spearhead the development of autonomous systems that will redefine industries by 2026. We're seeking pioneers who thrive at the intersection of bleeding-edge research and scalable production solutions. Your work will directly shape the future of human-machine collaboration, solving complex challenges in climate modeling, healthcare diagnostics, and sustainable infrastructure.

We offer unparalleled resources, a collaborative culture that values intellectual curiosity, and equity in our mission to build a better 2026. This isn't just a jobβ€”it's your chance to engineer the future.

Responsibilities

  • Design and implement production-grade AI/ML systems for 2026-era applications
  • Lead research on next-gen neural architectures and federated learning frameworks
  • Collaborate with cross-functional teams to deploy autonomous solutions at scale
  • Develop ethical AI governance protocols for 2026 compliance standards
  • Optimize models for edge computing and quantum computing hybrid environments
  • Mentor junior engineers and publish breakthrough research in top-tier venues

Qualifications

  • PhD in Computer Science, AI, or related field (or equivalent industry experience)
  • 5+ years building production ML systems with TensorFlow/PyTorch
  • Expertise in federated learning, reinforcement learning, or generative AI
  • Published research at NeurIPS, ICML, or equivalent venues
  • Strong background in MLOps and cloud-native deployments (AWS/GCP)
  • Experience with quantum computing frameworks (Qiskit/Cirq) preferred
  • Demonstrated ability to translate research into scalable solutions

Required Skills

Machine Learning Deep Learning TensorFlow PyTorch MLOps Quantum Computing Federated Learning Reinforcement Learning AI Ethics

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