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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 Senior Machine Learning Engineer to architect cutting-edge solutions that transform industries. Work with world-class researchers to deploy scalable ML systems, collaborate with cross-functional teams, and drive the future of intelligent automation. Enjoy competitive benefits, flexible work arrangements, and a culture that values breakthrough thinking.

Responsibilities

  • Design and implement end-to-end ML pipelines for production systems
  • Lead research and development of novel deep learning algorithms
  • Collaborate with product teams to translate business requirements into ML solutions
  • Optimize model performance and scalability across distributed systems
  • Mentor junior engineers and conduct peer code reviews
  • Stay current with emerging ML frameworks and research papers
  • Present findings to technical and non-technical stakeholders

Qualifications

  • MS/PhD in Computer Science, Mathematics, or related field
  • 5+ years of production ML experience with Python/TensorFlow/PyTorch
  • Expertise in computer vision, NLP, or reinforcement learning
  • Proficiency with cloud platforms (AWS/GCP/Azure) and MLOps tools
  • Strong statistical modeling and experimental design skills
  • Publication record in top-tier ML conferences (NeurIPS, ICML, etc.)
  • Experience leading ML projects from prototype to production

Required Skills

Python TensorFlow PyTorch AWS Computer Vision NLP MLOps Distributed Systems

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