Computer Vision ML Developer

Current Scientific Corporation

Port Coquitlam

Hybride

CAD 80 000 - 100 000

Plein temps

Il y a 11 jours

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Résumé du poste

Current Scientific Corporation in Port Coquitlam, BC is seeking a machine-learning developer to join the CURRENT AI team. You will work on core computer vision components, train and deploy ML models, and collaborate across engineering and product to ship real-world AI features.

The ideal candidate has a solid software background with practical ML experience, proficiency in Python, and hands-on experience with PyTorch/TensorFlow and OpenCV.

Qualifications

  • Bachelor’s degree or diploma in engineering, computer science, mathematics, or similar.
  • 3+ years of software experience, especially in applied ML.
  • Proficiency in Python.
  • ML frameworks (e.g. PyTorch, TensorFlow).
  • Classical computer vision (e.g. OpenCV).
  • Linux command line.
  • Strong written and oral English communication.

Responsabilités

  • Continuously train, evaluate, and deploy computer vision ML models in response to new data.
  • Create novel vision algorithms using classical and ML computer vision techniques.
  • Optimize code for latency and maintainability.
  • Inform data collection and annotation processes.
  • Create and integrate with internal/external APIs.
  • Set up ML tooling.
  • Review and document code.
  • Stay up to date with the latest developments in AI, especially in computer vision.

Connaissances

Python
Applied ML
Linux command line

Formation

Bachelor’s degree or diploma in engineering, computer science, mathematics, or similar

Outils

PyTorch
TensorFlow
OpenCV
GStreamer
NVIDIA DeepStream
Jetson

Description du poste

We are looking for an ambitious and talented machine-learning developer to join our growing CURRENT AI team! As part of this new initiative from Current Scientific, you will be working on the cutting edge of hardware and AI technology. Your primary responsibility will be contributing to the core computer vision of CURRENT AI. The ideal candidate has a solid software background, experience with both machine-learned and classical computer vision, and strong mathematics skills. If you enjoy pushing the limits of what is possible, excel in the unique and unexplored, and want to help build a real product that brings real value to real people, you'll want to apply!

RESPONSIBILITIES:
  • Continuously train, evaluate, and deploy computer vision ML models in response to new data
  • Create novel vision algorithms using classical and ML computer vision techniques
  • Optimize code for latency and maintainability
  • Inform data collection and annotation processes
  • Create and integrate with internal/external APIs
  • Set up ML tooling
  • Review and document code
  • Stay up to date with the latest developments in AI, especially in computer vision
REQUIREMENTS:
  • Bachelor’s degree or diploma in engineering, computer science, mathematics, or similar
  • 3+ years of software experience, especially in applied ML
  • Python
  • ML frameworks, libraries and tools (e.g. PyTorch, TensorFlow)
  • Classical computer vision (e.g. OpenCV)
  • Linux command line
  • Work both independently and collaboratively in fast-paced environments
  • Written and oral communication in English
EXTRAS:
  • C/C++
  • GStreamer, NVIDIA DeepStream
  • Development on NVIDIA Jetson
  • MLOps, on-premises and cloud
SALARY RANGE:

$80,000 to $100,000 + benefits

LOCATION:
  • Confirmation that you are willing to work on-site at our Port Coquitlam, BC office
Company Background:

Current Scientific is a growing marine tech company with customers located around the world. We design and manufacture stabilized electro-optical systems for use in coast guard, super-yachts, paramilitary & navy, ferries & explorer cruises, icebreakers, marine mammal research, and other specialty vessels. We pride ourselves on a fun culture and fast-paced development environment. Our diverse and multi-disciplinary team works closely together to collaborate on innovative products, solve new challenges, and continuously improve customer experience.

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