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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer - Future Technologies

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join FutureTech Innovations at the forefront of technological advancement. We're pioneering next-generation AI solutions that will redefine industries by 2026. As an AI/ML Engineer, you'll architect and deploy scalable machine learning systems to solve complex challenges in autonomous systems, quantum computing integration, and predictive analytics. Our collaborative culture values innovation, ethical AI development, and continuous learning.

We offer competitive compensation, equity packages, comprehensive benefits, and flexible work arrangements. Help us build the future of intelligent automation while working with world-class talent in our state-of-the-art San Francisco lab.

Responsibilities

  • Design and implement cutting-edge ML models for autonomous decision-making systems
  • Develop quantum-resistant AI algorithms for next-gen security protocols
  • Optimize neural networks for edge computing deployment in IoT ecosystems
  • Collaborate with cross-functional teams to integrate AI solutions into product roadmaps
  • Conduct research on federated learning and zero-knowledge AI applications
  • Lead ethical AI framework development for responsible automation
  • Document technical specifications and create performance benchmarks

Qualifications

  • Masters or PhD in Computer Science, AI, or related field
  • 5+ years of experience in production ML systems and deep learning frameworks
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing
  • Strong background in reinforcement learning and generative adversarial networks
  • Published research in AI ethics or quantum machine learning preferred
  • Experience with MLOps pipelines and CI/CD for ML workflows
  • Proficiency in deploying models on cloud platforms (AWS/GCP/Azure)

Required Skills

Python TensorFlow PyTorch Quantum Computing Reinforcement Learning MLOps AWS GCP AI Ethics Distributed Systems

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