Principal Machine Learning Developer

4 weeks ago


Montreal Quebec GF, CA Autodesk Full time

Job Requisition ID # 24WD79050

Position Overview

Autodesk makes software for people who make things. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films, chances are you've experienced what millions of Autodesk customers are doing with our software. Autodesk's Media and Entertainment team is hiring a Principal Machine Learning Developer to work on innovative projects that help our customers imagine, design, and make a better world. Reporting to our Senior Software Development Manager, you'll apply ML methodologies and tools to a wide array of data and use cases and help shape the future of media and entertainment technology.

Responsibilities

  • Implement and enhance new ML models and AI techniques for our content creation software
  • Work with research teams and software development teams within a globally distributed setting
  • In collaboration with other teams, define software requirements and specifications
  • Write clean, scalable, and efficient code (python or C++). Implement new functionalities based on requirements.
  • Analyse model errors and design strategies for mitigation
  • Conduct model training and hyperparameter tuning
  • Handle data processing and preparation at scale

Minimum Qualifications

  • 7+ years of experience applying machine learning algorithms and libraries to business problems
  • Understanding of fundamental CS algorithms
  • Experienced with at least one of the following areas: data modelling, data architecture and network architectures, process automation, batch processing, artefact check-pointing, or similar
  • Coding skills in Python and/or C++
  • Experience with TensorFlow, PyTorch (or other standard deep learning frameworks)
  • University degree in related AI/ML discipline, such as Computer Science, Mathematics, Statistics, Physics (or equivalent experience will be considered)

Preferred Qualifications

  • Experience of VFX or Games production
  • Cloud experience on AWS, Azure or GCP, ML Ops.
  • Background in statistical methods for Machine Learning
  • Deep Learning techniques (Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies)
  • Diffusion models
  • Advanced university degree in a related AI/ML field (PhD or MSc.)
  • Experience working on novel concepts and experimenting with new solutions and ideas
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