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Machine Learning Engineer 3D Geometry/ Multi-Modal

AT Autodesk
Autodesk

Machine Learning Engineer 3D Geometry/ Multi-Modal

London, United Kingdom

Job Requisition ID #

24WD80134

Machine Learning Enginee 3D Geometry/ Multi-Modal

Locations: Toronto Canada, London, UK or San Francisco, CA

Position Overview

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world. As a Machine Learning Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are excited to collaborate with AI researchers to implement generative AI features in Autodesk products.

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You will report to a research manager in the Research Engineering organization of Autodesk Research.

Responsibilities

  • Collaborate on projects at the intersection of research and product with a diverse, global team of researchers and engineers
  • Support research through the construction of ML pipelines, prototypes, and reusable, testable code
  • Process data and analyze feature extractions
  • Analyze errors and provide solutions to problems
  • Present results to collaborators and leadership

Minimum Qualifications

  • BSc or MSc in Computer Science, or equivalent industry experience
  • 3+ years of machine learning experience
  • Experience scaling machine learning training and data pipelines
  • Experience with computational geometry and geometric methods including mesh or B-Rep models
  • Experience with version control, reproducibility, and deploying machine learning models
  • Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
  • Experience with cloud services and architectures (e.g. AWS, Azure)
  • Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray)
  • Excellent written documentation skills to document code, architectures, and experiments

Preferred Qualifications

  • Experience working with distributed systems
  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries
  • Experience with Autodesk or similar products (C

Learn More

About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you're an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

Client-provided location(s): London, UK
Job ID: autodesk-24WD80134
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Long-Term Disability
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • FSA
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Health Reimbursement Account
    • On-Site Gym
    • Pet Insurance
    • Mental Health Benefits
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Non-Birth Parent or Paternity Leave
    • Birth Parent or Maternity Leave
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
    • Work-From-Home Stipend
  • Office Life and Perks

    • Some Meals Provided
    • Commuter Benefits Program
    • Casual Dress
    • Pet-friendly Office
    • Happy Hours
    • Snacks
    • Company Outings
  • Vacation and Time Off

    • Personal/Sick Days
    • Paid Holidays
    • Unlimited Paid Time Off
    • Leave of Absence
    • Paid Vacation
    • Sabbatical
    • Volunteer Time Off
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • Stock Purchase Program
    • Company Equity
    • 401(K) With Company Matching
  • Professional Development

    • Shadowing Opportunities
    • Access to Online Courses
    • Promote From Within
    • Learning and Development Stipend
    • Lunch and Learns
    • Tuition Reimbursement
    • Mentor Program
    • Internship Program
    • Leadership Training Program
    • Professional Coaching
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Woman founded/led
    • Black founded/led
    • BIPOC founded/led
    • Latinx founded/led
    • Asian founded/led
    • LGBTQ+ founded/led
    • Veteran founded/led