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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

QuantumLeap Innovations
San Francisco
Salary Estimate
USD 160.000 – USD 220.000
Latest
Live Update
27 Mei 2026
Deadline
27 Mei 2027

Job Description

Join QuantumLeap Innovations at the forefront of AI revolution. We're seeking a visionary Senior Machine Learning Engineer to architect and deploy cutting-edge solutions that transform industries. Our dynamic team operates in a collaborative environment where innovation thrives, and your expertise will directly impact products used by millions globally.

What you'll achieve:

  • Design and implement scalable ML pipelines for real-time data processing
  • Lead research on novel neural architectures and optimization techniques
  • Mentor junior engineers while fostering a culture of technical excellence

Responsibilities

  • Architect and productionize ML models using TensorFlow/PyTorch frameworks
  • Optimize algorithms for performance on AWS/GCP infrastructure
  • Collaborate with cross-functional teams to define ML product requirements
  • Conduct rigorous A/B testing and model validation protocols
  • Translate complex business problems into ML solutions
  • Stay current with emerging research in deep learning and NLP
  • Document technical specifications and model architectures

Qualifications

  • MS/PhD in Computer Science, Mathematics, or related field
  • 5+ years building production ML systems at scale
  • Expertise in Python, distributed computing (Spark), and SQL
  • Strong foundation in statistical modeling and algorithm design
  • Proven track record deploying models serving >1M users
  • Experience with MLOps tools (MLflow, Kubeflow)
  • Publications in top-tier ML conferences or patents preferred

Required Skills

Python TensorFlow PyTorch AWS GCP Machine Learning Deep Learning NLP Distributed Computing MLOps

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