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Information Technology 🏢 Full Time ⭐️ Verified

2026 Tech Lead - AI & Machine Learning

FutureVision Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureVision Innovations at the forefront of 2026's technological revolution! We're seeking a visionary Tech Lead to architect and deploy next-generation AI systems that will redefine industries. This hybrid role blends strategic innovation with hands-on technical execution in our state-of-the-art San Francisco hub. You'll lead cross-functional teams to build scalable machine learning pipelines while mentoring the next wave of tech pioneers.

Our culture thrives on autonomy, curiosity, and breakthrough thinking—with competitive benefits including equity, unlimited PTO, and a $10K annual learning stipend. Help us shape the future of human-AI collaboration.

Responsibilities

  • Architect and implement production-grade ML/AI solutions for 2026 market needs
  • Lead 5-8 engineers in agile development cycles with 95% on-time delivery
  • Optimize neural networks for real-time edge computing applications
  • Collaborate with product teams to define 5-year AI roadmaps
  • Drive ethical AI governance frameworks and bias mitigation protocols
  • Present quarterly innovation showcases to C-suite and industry partners
  • Mentor junior engineers through our proprietary FutureVision Accelerator Program

Qualifications

  • 8+ years in ML/AI with 3+ years in technical leadership roles
  • Expertise in PyTorch, TensorFlow 2.0, and distributed training frameworks
  • Published research in top-tier conferences (NeurIPS, ICML) or equivalent industry impact
  • Proven track record deploying models at >99.99% uptime in cloud-native environments
  • Strong background in MLOps and CI/CD for ML pipelines
  • Experience scaling teams from 5 to 50+ engineers
  • PhD in Computer Science or equivalent breakthrough contributions
  • Portfolio demonstrating 2026-relevant projects (quantum computing, AGI safety, etc.)

Required Skills

AI Machine Learning PyTorch TensorFlow MLOps Technical Leadership Distributed Computing Neural Networks Cloud Architecture Agile Methodology Quantum Computing Ethics in AI

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