CV/ML Engineer for 3D Virtual Humans - Remote Europe

Remote, Germany

Meshcapade

We combine computer vision and machine learning to convert images, videos, and even words into lifelike digital humans.

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Company Description

Meshcapade is the 3D digital human company. We are creating realistic human avatars for use in apparel, games, fitness, AI, and augmented reality. Using machine learning and computer vision, we model the nuances of human body shape and movement. We automatically convert photos, 3D & 4D scans, RGB-D sequences, Mocap and even words into realistic 3D humans. We are a spin-off from the Max Planck Institute for Intelligent Systems in Tübingen, Germany and our products are powered by state of the art, patented research. Our core product, Meshcapade Studio, is an online platform for the creation, animation, and use of 3D digital humans. Our clients run the gamut of global names; a broad mix of tech, media, health and fitness, apparel, and education.

Job Description

We're now looking for the next SMPL- whiz! 

You will be involved in Meshcapade’s internal and external collaborative initiatives. Meshcapade has an ongoing research and collaboration partnership with Max Planck Institute allowing us to participate in cutting edge R&D on statistical body modelling, body shape & motion estimation methods, and neural representation of bodies in digital worlds. You will work closely with the founders to:

  • Develop new statistical body models, and neural methods for new population demographics (SMPL and beyond)
  • Participate in ongoing research projects with external research partners and help define new research initiatives
  • Coordinate with the engineering teams to automate and productize latest research, both internal and collaborative
  • Define the technical direction on evaluation methods, improvements and further development of software using the machine learning and NNs

Qualifications

  • Solid understanding of 3D computer vision, deep learning, and training new machine learning models for human pose & shape estimation
  • Experience developing optimization techniques for fitting SMPL and other related models to sensor-based data (RGB-D, images, mocap or 3D scans) or
  • 5+ years experience developing in Python and/or C++
  • Master’s or PhD degree in computer science or related field
  • Proven track record of publications on topics related to statistical body modelling, estimation or motion tracking methods
  • Strong understanding of computer vision, graphics and machine learning
  • Excellent written and oral communication skills

Bonus Skills

  • Demonstrable experience with the SMPL family of statistical models

Additional Information

Talent Acquisition Process: 

  • Interview with our Talent Acquisition team;
  • Meet the hiring manager;
  • Technical case study;
  • Final interview with the Senior Management Team

What we offer:

  • A competitive compensation package;
  • Full remote working support;
  • An entrepreneurial team passionate about creating the technology to power the world's avatars;
  • Opportunity to work with an internationally diverse team;
  • Great perks (autonomy, flexible working hours, hardware budget, co-working space allowance and team events).

 

Diversity isn’t just a statement at Meshcapade, it sits at the core of the company.

We believe in the diversity of thought because we appreciate that this makes us stronger. Therefore, we encourage applications from everyone who can offer their unique experience to our collective achievements."

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Computer Vision Deep Learning Engineering Machine Learning ML models PhD Python R R&D Research Statistics

Perks/benefits: Career development Competitive pay Flex hours Team events

Regions: Remote/Anywhere Europe
Country: Germany
Job stats:  93  14  1

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