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Information Technology 🏢 Full Time ⭐️ Verified

Senior Machine Learning Engineer

QuantumLeap AI
San Francisco
Salary Estimate
USD 160.000 – USD 210.000
Latest
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to shape the future of artificial intelligence? At QuantumLeap AI, we are pushing the boundaries of what's possible with machine learning. We are looking for a visionary Senior Machine Learning Engineer to join our elite team in San Francisco. You will work on cutting-edge projects that impact millions of users globally.

If you are passionate about building scalable AI solutions and want to work with a world-class team, we want to hear from you. We offer competitive compensation, comprehensive benefits, and a dynamic work environment.

Responsibilities

  • Design, develop, and deploy advanced machine learning models and algorithms.
  • Collaborate with cross-functional teams to integrate AI solutions into our core products.
  • Optimize ML pipelines for performance, scalability, and reliability in production environments.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning.
  • Stay abreast of the latest research and advancements in AI/ML to drive innovation.
  • Monitor and troubleshoot model drift, ensuring sustained accuracy over time.

Qualifications

  • Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of hands-on experience in machine learning engineering or data science roles.
  • Expert proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying machine learning models into production at scale.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.

Required Skills

Machine Learning Python TensorFlow PyTorch AWS Data Science MLOps Kubernetes

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