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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join QuantumLeap Labs as a Senior AI/ML Engineer and architect the future of artificial intelligence for our groundbreaking 2026 Vision initiative. We're developing next-generation autonomous systems that will redefine human-computer interaction across industries. This role offers the unique opportunity to pioneer AI solutions that will shape the technological landscape for years to come.

What you'll achieve: Lead the design and implementation of cutting-edge machine learning models, collaborate with cross-functional teams to solve complex real-world problems, and mentor junior engineers in AI best practices. You'll work in a state-of-the-art lab environment with access to NVIDIA H100 GPUs and petabyte-scale datasets.

Responsibilities

  • Architect and deploy production-scale ML pipelines for autonomous systems
  • Develop novel AI algorithms for natural language understanding and computer vision
  • Collaborate with robotics engineers to integrate AI with physical systems
  • Optimize model performance for edge deployment in resource-constrained environments
  • Lead research initiatives in explainable AI and ethical machine learning
  • Mentor junior engineers and conduct technical workshops
  • Participate in patent filings for AI innovations

Qualifications

  • 5+ years of experience in AI/ML with production deployment
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing
  • PhD or equivalent in Computer Science/Machine Learning preferred
  • Strong background in reinforcement learning or federated learning
  • Published research at top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Experience with MLOps tools (Kubernetes, MLflow, Kubeflow)
  • Portfolio of deployed AI systems serving >1M users

Required Skills

Python TensorFlow PyTorch Reinforcement Learning Computer Vision NLP MLOps Kubernetes Distributed Systems

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