Intern, Machine Learning
EMEA - United Kingdom - London - Agar St
Applications have closed
Autodesk
Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment.Job Requisition ID #
24WD82747Position Overview
We are looking for a London-based or remote intern to work with us on machine learning research applied to design. We're passionate about making design tools to enable design exploration (inspiring alternative design solutions), design automation (reaching the finished design faster), and sustainable design (designing with less negative impact).
In support of this, Autodesk Research is active in the wider research community. We are a team of researchers, engineers, and industry domain experts, who collaborate with top academic & industry labs to combine the best of an academic environment with product-driven research. We have published at NeurIPS, ICML, ICLR, and other top-tier conferences, as well as producing cutting edge features for Autodesk’s suite of products.
Responsibilities
As a Machine Learning Engineer Intern in Autodesk's Research Engineering team, you'll apply and investigate advanced machine learning techniques to help our customers design a better, safer, more sustainable world. The team works on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.
Minimum Qualification
Full-time MSc or PhD student, with at least one academic term to complete
post-internship, in Computer Science, Machine Learning or a related field
Broad understanding of machine learning and deep learning concepts
Good software development skills, with experience in Python and machine
learning/deep learning libraries (e.g. PyTorch, TensorFlow, JAX, etc.).
Experience with large generative models (transformers, diffusion models, etc.)
Interest in design (e.g. industrial or mechanical design)
Preferred Qualifications
Experience conducting research and publishing results
Experience with distributed training
Experience with cloud compute platforms (AWS, GCP, Azure, etc.).
Demonstrable programming abilities, e.g. contributions to open-source software or a substantial programming project. If available, please include or make a reference to this code example in your application
Experience with CAD
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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, educational level, and geographic location.
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
Tags: AWS Azure CAD Computer Science Computer Vision Deep Learning Diffusion models Engineering GCP Generative modeling ICLR ICML Industrial JAX Machine Learning NeurIPS Open Source PhD Python PyTorch Research Robotics TensorFlow Transformers
Perks/benefits: Competitive pay Conferences
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