Customer Facing Machine Learning Engineer

About

At Scortex, we love factories. The smell of grease, the sparks of welding, the jingling of conveyor belts. We appreciate the beauty of a well-crafted industrial process, delivering value at a massive scale in the physical world.

That is why it pains us to see manufacturing companies struggle with their quality. Throwing away parts by the thousands, or missing the needle in the haystack, letting faulty products slip through their tired eyes, despite all their efforts. We decided to solve this major headache of theirs, by building the required technology and making it accessible to everyone.

Leveraging machine learning, our platform allows customers to:

  • detect faulty parts on a production line, automatically, in real-time,

  • know and understand quality issues at a large scale,

  • dynamically improve the quality of the production.

Scortex is a team of passionate individuals, in a unique blend of the tech and manufacturing worlds. Obviously, we have a flexible hybrid/remote work policy.

Job Description

As a member of the tech team, you will contribute to the success of our products for our customers. This is a transversal role that requires knowledge in machine learning / data science techniques but also a capacity to understand customer’s pains and needs and help him to maximise the output of our products.

Namely your work will include:

  • Continually ensure that the customer is maximizing the product's potential

  • Run ad hoc analysis to deeply understand models performances, what are its weaknesses and how to fix them for specific customer use cases. This might include working with the customer to annotate their data

  • Work closely with our customer success team on the quality of the acquired and annotated data

  • Work closely with the tech team to improve the tooling and define new features and, if needed, help to develop them

  • Work closely with the customer success manager to communicate the results internally and to our customers

  • Conduct on-site visits to assess customer needs and ensure technical feasibility.

Preferred Experience

  • Master of science or PhD in data science or Artificial Intelligence (AI) or a related field.

  • Strong knowledge in machine learning in general and of deep learning techniques in particular.

  • Proficient in the python programming language.

  • Experience with data manipulation and visualization

  • Knowledge of deep learning for computer vision (classification, detection, segmentation). Understanding standard computer vision techniques such as filtering, transformations, descriptors and detectors is a plus

  • Experience with the unix environment

  • Fluent English and French are required (most of customers you would work with speak French but English, all writing at Scortex are in english)

  • Strong ability to communicate with both technical and non-technical audiences.

Recruitment Process

  • Intro call (~30 minutes) - over phone or Google Meet

  • Technical case study (~2 hours) - possibly at the HeadQuarter or Google Meet

  • C-level interview (~45 minutes) - possibly at the HeadQuarter or Google Meet

At least one of the above at the HeadQuarter in person

Additional Information

  • Contract Type: Full-Time
  • Location: Paris
  • Education Level: Master's Degree
  • Possible partial remote
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