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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

QuantumLeap Technologies
San Francisco
Salary Estimate
USD 180.000 – USD 240.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect next-generation solutions for autonomous systems. Collaborate with elite researchers in our state-of-the-art lab, where your work will directly impact billions of users worldwide. Enjoy competitive equity, unlimited learning stipends, and flexible hybrid work in the heart of Silicon Valley.

Responsibilities

  • Design scalable ML pipelines for real-time data processing at petabyte scale
  • Lead model deployment and optimization for cloud-native environments
  • Mentor junior engineers and conduct technical workshops
  • Translate complex business requirements into robust ML architectures
  • Drive innovation through research on novel neural network techniques
  • Collaborate with cross-functional teams to deliver production-ready solutions

Qualifications

  • PhD or MS in Computer Science, Mathematics, or related field
  • 5+ years of production ML experience with Python/TensorFlow
  • Expertise in distributed computing (Spark, Kubeflow)
  • Published research at top-tier conferences (NeurIPS, ICML)
  • Strong background in computer vision or NLP domains
  • Proven track record of shipping ML products at scale
  • Excellent communication and leadership skills

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Distributed Systems Computer Vision NLP MLOps

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