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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

QuantumLeap Labs
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect cutting-edge solutions that transform industries. In this role, you'll lead the development of scalable ML systems, collaborate with cross-functional teams, and drive research breakthroughs. Our dynamic startup environment offers unparalleled opportunities to shape the future of artificial intelligence while working alongside world-class researchers and engineers. If you're passionate about pushing the boundaries of what's possible in machine learning, we want to hear from you!

Responsibilities

  • Design and implement production-grade ML pipelines using TensorFlow and PyTorch
  • Lead research in deep learning, NLP, or computer vision domains
  • Collaborate with product teams to translate business requirements into ML solutions
  • Optimize model performance and scalability for cloud deployment
  • Mentor junior engineers and conduct peer code reviews
  • Stay current with emerging AI research and industry trends

Qualifications

  • MS/PhD in Computer Science, Mathematics, or related field
  • 5+ years of experience in ML engineering at scale
  • Expertise in Python, PyTorch/TensorFlow, and distributed computing
  • Proven track record of deploying ML models to production
  • Strong problem-solving skills with complex data challenges
  • Experience with MLOps tools and cloud platforms (AWS/GCP)
  • Excellent communication and collaboration abilities

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Computer Vision MLOps AWS GCP Distributed Systems

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