Machine Learning Technical Manager

Autodesk Autodesk · Enterprise · EMEA - Serbia - Novi Sad - Zeleznicka 7, EMEA - Croatia - Zagreb Regus

This role is for a Machine Learning Technical Manager at Autodesk, focusing on leading a team to develop and deploy next-generation AI solutions for their VFX platform (Autodesk Flow Studio). The role requires expertise in Computer Vision, Computer Graphics, or Generative AI, with responsibilities including managing a team, defining ML strategy, collaborating with product and engineering, and providing technical oversight for model development and deployment. The ideal candidate has a track record of delivering ML models into production, preferably in media/entertainment, and strong programming skills in Python with ML frameworks.

What you'd actually do

  1. Lead the development and deployment of machine learning models, with emphasis on computer vision, graphics, or generative AI.
  2. Manage and mentor a team of ML engineers and researchers, fostering a culture of innovation, collaboration, and technical excellence.
  3. Define and execute the ML strategy, identifying opportunities where AI can enhance product capabilities and user experience.
  4. Collaborate with engineering, product, and creative teams to integrate AI solutions into production workflows and tools.
  5. Provide technical oversight on model architecture, training, evaluation, deployment, and monitoring.

Skills

Required

  • Machine learning
  • Computer vision
  • Computational graphics
  • Generative AI
  • Python
  • PyTorch
  • TensorFlow
  • Leading technical teams
  • Collaboration
  • Communication skills

Nice to have

  • 3D graphics
  • rendering pipelines
  • real-time engines (e.g., Unreal Engine, Blender, Maya)

What the JD emphasized

  • expertise in Computer Vision, Computer Graphics, or Generative AI
  • leading a team of machine learning engineers and researchers
  • delivery of machine learning models
  • media, entertainment, or creative tech

Other signals

  • leading a team of ML engineers and researchers
  • development and deployment of machine learning models
  • computer vision, graphics, or generative AI
  • delivering ML models into production environments