An Apparel Manufacturing Startup
 is hiring a fractional

ML Engineer

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This is a Featured Job

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You’ll receive an update within 14 days
If the company is interested, we’ll intro the two of you directly

Weekly Commitment

10 hrs

Compensation Range

$175 CAD / hr

Company Stage

Bootstrapped

Industry

Manufacturing

Location

Remote (Canada only)
moonlight ok
moonlight ok
convert full-time
convert full-time
equity offered
equity offered
hands-on needed
hands-on needed

Note: We've kept the name of the company private. If you'd like to know the company before requesting an intro, just email us at hello [at] fractionaljobs.io

‍

The Company

We're building computer vision that automatically measures every garment at each step of the apparel manufacturing process.

Stage & proof points:

  • Technical founder, a data engineer with deep manufacturing expertise
  • One pilot customer already closed, with more on the way

‍

The Work

We're looking for a Fractional ML Engineer to own and improve our custom models that detect measurement points on different garments from images from the factory line.

Specifically, you'll:

  • Review our current models, built by our founder, and either improve or re-write them as needed
  • Figure out the most effective way to detect 20 to 30 measurement points per garment, and improve our detection accuracy
  • Extend the models to new garment types as we add them
  • Work with image camera data today, with video on the roadmap
  • Work most closely with our founder

Tech stack:

  • Python
  • Databricks

‍

About You

You MUST have:

  • Senior or staff-level ML engineering experience
  • Trained and improved computer vision models on image data
  • Owned ML work end to end on your own in Python, from data prep through training and evaluation
  • Physically located in Canada only


How to Get in Touch

Hit that "Request Intro" button below. Include any relevant links so we can get to know you better.

Your brief intro note should clearly address:
‍

  • The products you've been an ML engineer for, and what your work entailed
  • Examples of your computer vision work specifically, including any keypoint or landmark detection


If we think there's a fit, we'll reach out to schedule an intro call. Looking forward!

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