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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Engineer

InnovateTech Solutions
San Francisco
Estimated Salary
USD 150.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join InnovateTech Solutions at the forefront of AI innovation! We're seeking a visionary AI/ML Engineer to architect and deploy cutting-edge machine learning systems that will redefine technology by 2026. As a key member of our elite R&D team, you'll transform complex data into scalable solutions powering next-generation applications. Collaborate with world-class researchers in our state-of-the-art San Francisco lab, where your work will directly impact global industries. Enjoy competitive compensation, unlimited PTO, and comprehensive benefits while shaping the future of artificial intelligence.

Responsibilities

  • Design and implement production-grade ML pipelines using TensorFlow/PyTorch for real-time inference
  • Lead research on quantum-inspired neural networks for 2026-era computational efficiency
  • Develop ethical AI frameworks ensuring compliance with emerging global regulations
  • Optimize distributed training on GPU/TPU clusters for billion-parameter models
  • Create automated MLOps pipelines for continuous model deployment and monitoring
  • Mentor junior engineers in advanced ML techniques and responsible AI practices
  • Collaborate with product teams to integrate AI features into enterprise solutions

Qualifications

  • 5+ years of experience in production ML systems with Python/C++
  • PhD or MS in Computer Science/ML with focus on quantum computing applications
  • Expertise in large-scale distributed training (Ray, Horovod) and model optimization
  • Published research in top-tier AI conferences (NeurIPS, ICML) by 2025
  • Strong background in ethical AI governance and bias mitigation techniques
  • Proficiency with cloud platforms (AWS/GCP) and container orchestration (Kubernetes)
  • Experience with 3D computer vision and generative adversarial networks

Required Skills

Python TensorFlow PyTorch Quantum Computing MLOps Distributed Systems Computer Vision Ethical AI AWS Kubernetes

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