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Senior Machine Learning Engineer

QuantumLeap Technologies
San Francisco, CA
Salary Estimate
USD 180.000 – USD 250.000
Latest
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect transformative solutions for autonomous systems. Collaborate with elite researchers in our state-of-the-art lab, where your work will directly impact the future of human-computer interaction. Enjoy competitive benefits, flexible work arrangements, and unparalleled professional growth opportunities in one of the world's most vibrant tech ecosystems.

Responsibilities

  • Design and implement cutting-edge ML models for real-time data processing systems
  • Lead cross-functional teams to deploy production-scale AI solutions on cloud infrastructure
  • Develop novel algorithms for predictive analytics and natural language processing
  • Optimize model performance through advanced experimentation and A/B testing
  • Mentor junior engineers and establish best practices for MLOps workflows
  • Collaborate with product teams to translate business requirements into technical specifications

Qualifications

  • PhD or MS in Computer Science, Mathematics, or related field with 5+ years ML experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed computing frameworks
  • Proven track record deploying production ML systems at scale
  • Strong foundation in statistical modeling and experimental design
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
  • Published research in top-tier ML/AI conferences or journals
  • Excellent communication skills with ability to articulate complex concepts to stakeholders

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps NLP Computer Vision Distributed Systems

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