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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

QuantumLeap Labs
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect transformative solutions for Fortune 500 clients. Collaborate with cross-functional teams to deploy cutting-edge NLP and computer vision models that solve real-world challenges. Enjoy competitive compensation, unlimited PTO, and a state-of-the-art lab environment where your ideas become industry breakthroughs.

Responsibilities

  • Design and implement scalable ML pipelines using TensorFlow/PyTorch
  • Lead end-to-end model development from prototype to production deployment
  • Optimize algorithms for cloud infrastructure (AWS/GCP)
  • Conduct rigorous A/B testing and performance analysis
  • Mentor junior engineers on ML best practices
  • Collaborate with product teams to align technical solutions with business objectives

Qualifications

  • MS/PhD in Computer Science, Mathematics, or related field
  • 5+ years experience in production ML systems
  • Expertise in Python, SQL, and distributed computing frameworks
  • Published research in top-tier ML conferences (NeurIPS, ICML)
  • Strong proficiency with MLOps tools (Kubeflow, MLflow)
  • Experience with cloud ML services (SageMaker, Vertex AI)
  • Proven track record of shipping production-grade AI products

Required Skills

Python TensorFlow PyTorch AWS GCP MLOps NLP Computer Vision Distributed Systems

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