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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
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation! We're seeking a visionary Senior Machine Learning Engineer to architect and deploy cutting-edge solutions that transform industries. Work with our elite team to develop scalable ML systems, drive research breakthroughs, and mentor next-gen talent in a dynamic, collaborative environment.

Responsibilities

  • Design and implement production-grade ML pipelines using TensorFlow/PyTorch
  • Lead end-to-end development of computer vision and NLP applications
  • Optimize model performance through advanced feature engineering and hyperparameter tuning
  • Collaborate with cross-functional teams to define ML-driven product roadmaps
  • Conduct rigorous A/B testing and statistical analysis for model validation
  • Mentor junior engineers and champion best practices in MLOps

Qualifications

  • MS/PhD in Computer Science, Mathematics, or related field
  • 5+ years of ML engineering experience with proven portfolio
  • Expertise in Python, distributed computing (Spark/Kubernetes), and cloud platforms (AWS/GCP)
  • Strong foundation in algorithm design and statistical modeling
  • Published research or patents in ML/AI domains preferred
  • Experience with CI/CD pipelines for ML workflows
  • Excellent problem-solving skills and ability to translate business needs to technical solutions

Required Skills

Python TensorFlow PyTorch Computer Vision NLP AWS GCP Kubernetes MLOps Statistical Modeling

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