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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Innovations

FutureTech Labs
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join FutureTech Labs at the forefront of 2026's technological revolution. We're seeking a visionary Senior AI/ML Engineer to architect next-generation intelligent systems that will redefine industries. This is your chance to work on cutting-edge projects in autonomous systems, quantum-enhanced machine learning, and ethical AI deployment. Our collaborative culture combines Silicon Valley innovation with global impact, offering unparalleled growth opportunities in the heart of the world's tech capital.

What We Offer:
- Equity in a pre-IPO AI unicorn
- Unlimited learning stipend for 2026-certified courses
- Flexible hybrid work with quarterly innovation retreats
- Comprehensive health & wellness program

Responsibilities

  • Design and implement scalable ML pipelines for real-time 2026-era applications
  • Lead research in generative AI and quantum machine learning integration
  • Architect ethical AI frameworks ensuring compliance with 2026 global regulations
  • Mentor junior engineers in emerging AI paradigms
  • Collaborate with product teams to translate AI capabilities into market-leading solutions
  • Optimize model performance for edge computing and distributed systems
  • Contribute to open-source projects shaping the future of AI

Qualifications

  • 5+ years in production ML/AI systems with 3+ years in senior roles
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Experience deploying models at scale (>100M user systems)
  • Deep understanding of 2026 AI regulatory landscape
  • Proven ability to lead cross-functional technical initiatives
  • PhD or equivalent in Computer Science, Mathematics, or related field

Required Skills

Python TensorFlow PyTorch Quantum Computing Distributed Systems Generative AI MLOps Ethics in AI Edge Computing

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