Senior Machine Learning Engineer

vor 1 Monat


Zürich, Zürich, Schweiz Scandit Vollzeit
About the Role

We are seeking an experienced Senior Machine Learning Engineer to drive the development of cutting-edge computer vision systems. This role involves leading the design and implementation of fine-grained product recognition solutions for our retail clients.

Key Responsibilities
  • Develop and deploy state-of-the-art computer vision models, integrating them with cloud-based services.
  • Collaborate with cross-functional teams to identify areas for quality improvement and implement data-driven solutions.
  • Stay up-to-date with the latest advancements in detection, segmentation, and long-tailed object recognition.
  • Pioneer new opportunities to enhance recognition capabilities and mentor junior engineers on best practices.
Requirements

To succeed in this role, you should have:

  • At least 7 years of experience in solving recognition problems in the industry, with a proven track record of launching products.
  • Proficiency in Python and another programming language (e.g., C/C++, Go, or Rust).
  • Familiarity with popular machine learning frameworks such as PyTorch, JAX, or TensorFlow.
  • Hands-on experience with cloud-based development, including databases, service-oriented architecture, and data pipelines.
  • Strong software design, problem-solving, and debugging skills.
  • A strong portfolio showcasing your expertise in building visual search systems or retrieval-augmented LLM systems is highly valued.
What We Offer

You will be part of a highly skilled team, working in a dynamic environment that fosters innovation and creativity. Our company offers:

  • An attractive salary: approximately $140,000 per year.
  • A comprehensive benefits package, including health insurance, retirement plans, and paid time off.
  • The opportunity to work with cutting-edge technologies and collaborate with talented individuals from diverse backgrounds.
  • A supportive and inclusive culture that values work-life balance and employee well-being.
  • The chance to contribute to groundbreaking projects and make a meaningful impact in the field of computer vision.


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