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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

QuantumLeap AI
San Francisco
Salary Estimate
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap AI at the forefront of artificial intelligence innovation! We're seeking a visionary Senior Machine Learning Engineer to architect cutting-edge AI solutions that transform industries. You'll collaborate with world-class researchers and engineers to deploy scalable ML systems powering next-generation products. Our culture champions intellectual curiosity, rapid prototyping, and ethical AI development. Enjoy comprehensive benefits, flexible work arrangements, and opportunities to publish groundbreaking research.

Responsibilities

  • Design and implement production-grade ML pipelines using TensorFlow/PyTorch
  • Lead model optimization and deployment for cloud-native infrastructure
  • Collaborate with cross-functional teams to define ML-driven product features
  • Conduct rigorous A/B testing and performance analysis of ML systems
  • Stay current with academic research and implement novel algorithms
  • Mentor junior engineers and champion best practices in ML engineering

Qualifications

  • MS/PhD in Computer Science, Mathematics, or related field
  • 5+ years developing ML systems with proven production impact
  • Expertise in Python, deep learning frameworks, and cloud platforms (AWS/GCP)
  • Strong statistical modeling and experimental design skills
  • Experience with MLOps tools (Kubeflow, MLflow, Airflow)
  • Published papers or open-source contributions in ML/AI
  • Ability to translate business problems into technical solutions

Required Skills

Machine Learning TensorFlow PyTorch Python Cloud Computing MLOps Deep Learning Data Science AI Ethics

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