Machine Learning Cloud Optimization Engineer, Autodesk

Salary not provided

+ Discretionary annual cash bonuses, Stock or long-term incentive cash grants

AWS
Kubernetes
Azure
PyTorch
Mid and Senior level
London
Remote from UK
Autodesk

3D design, engineering & entertainment software

Job no longer available

Autodesk

3D design, engineering & entertainment software

1001+ employees

B2BDesignVisualisationAutomation

Job no longer available

Salary not provided

+ Discretionary annual cash bonuses, Stock or long-term incentive cash grants

AWS
Kubernetes
Azure
PyTorch
Mid and Senior level
London
Remote from UK

1001+ employees

B2BDesignVisualisationAutomation

Company mission

To empower innovators with design and make technology so they can achieve the new possible.

Role

Who you are

  • BSc or MSc in Computer Science, or equivalent industry experience
  • 3+ years of software development experience
  • Experience with version control, reproducibility, and deploying machine learning models
  • 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

Desirable

  • Experience with data modeling, architecture, and processing using varied data representations including 2D and 3D geometry
  • Experience with adding computational graph support, runtime or device backend to Machine learning libraries (PyTorch or Lightning Ray) support
  • Experience scaling ML training and data pipelines
  • Experience working with distributed systems
  • Knowledge of the design, manufacturing, AEC, or media & entertainment industries
  • Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

What the job involves

  • 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
  • You will report to a research manager in the Research Engineering organization of Autodesk Research
  • We are a global team, located in London, San Francisco, Toronto, and remotely
  • For this role we support both in-person, hybrid, and remote work
  • Profile and optimize machine learning tasks and code
  • Write efficient code for machine learning tasks, focusing on software rather than hardware
  • Understanding of AWS Cloud, Kubernetes and Ray Framework
  • Prepare appropriate containers and instances for various machine learning tasks
  • Train and optimize machine learning models
  • 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

Salary benchmarks

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Insights

4% employee growth in 12 months

Company

Our take

Autodesk supplies software that enables teams to collaborate, design, simulate, and fabricate their ideas in 3D, serving a range of industries such as engineering, product design, and entertainment. Founded in 1982, the company first delivered the AutoCAD system, a commercial computer-aided design and drafting software application, that is still seeing updated releases to this day.

Over 100 million people use Autodesk software, across many different industries and applications – in some of which it remains nearly irreplaceable. The company has an impressive history of diversification, which it continues to this day. For example, the 2022 acquisition of Moxion, a cloud-based platform for digital dailies used by leading filmmakers, bolstered the company’s offerings for the media and entertainment industry.

The rise of AR and VR technologies is driving modern growth in the computer-aided design market, creating space for Autodesk to expand further. On top of this, a recent shift to the popular SaaS model puts the company in an opportunistic position to seek further success.

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Kirsty

Company Specialist at Welcome to the Jungle