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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer

QuantumLeap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Systems at the forefront of technological evolution as we pioneer AI-driven solutions for 2026 and beyond. We're seeking a visionary Senior AI/ML Engineer to architect next-generation systems that will redefine industries. Our culture thrives on innovation, collaboration, and pushing boundaries in machine learning, neural networks, and quantum computing integration.

What We Offer:

  • Equity packages in a pre-IPO scaling tech unicorn
  • $10k annual learning stipend for certifications/conferences
  • 4-day work week with unlimited PTO
  • State-of-the-art lab with quantum computing access

Responsibilities

  • Design and implement cutting-edge ML models for predictive analytics and autonomous systems
  • Lead research initiatives in quantum machine learning algorithms
  • Collaborate with cross-functional teams to deploy AI solutions at scale
  • Mentor junior engineers and establish best practices for MLOps pipelines
  • Optimize models for edge computing and IoT integration
  • Stay ahead of emerging AI trends including federated learning and neuromorphic computing

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Proven track record deploying production ML systems serving >1M users
  • Strong background in quantum computing fundamentals or neuromorphic engineering
  • Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes orchestration
  • Excellent communication skills for technical and non-technical stakeholders

Required Skills

Python TensorFlow PyTorch Quantum Computing Neural Networks MLOps Kubernetes AWS Research

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