AI Research Scientist
EMEA - United Kingdom - London - Agar St
Autodesk
Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment.Job Requisition ID #
24WD84345Position 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 to solve problems that matter. As an AI Research Scientist in the Autodesk Research AI Lab, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world.
As a member of the AI Lab, you will be working side-by-side with world-class researchers and engineers to build new ML-powered product features that will help our customers imagine, design, and make a better world. The AI Lab is active in the wider research community and has strong collaborations with top academic labs, combining the best of an academic environment with product-guided research. The AI Lab actively publishes at CVPR, NeurIPS, ICML, ICLR, SIGGRAPH, and other top-tier conferences. A list of recent publications can be found here: https://www.research.autodesk.com/publications/#/selected-filter/publications-research-area-ai-lab
You are a research scientist who specializes in machine learning at scale. You have experience individually and as part of a team training large machine learning models with distributed deep learning. Your skills span across the design of large machine learning models, running large scale experiments informed by scaling laws, and optimizing data and compute GPU throughput to perform efficient model training. You are passionate about solving problems and building things. You are excited to collaborate with AI researchers to build state-of-the-art generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product.
The location of this role is flexible. We are a global team, located in London, San Francisco, Toronto, and remotely. Autodesk is a flexible hybrid-first company, allowing workers to work remotely, in an office, or a mix of both.
Responsibilities
Lead the development and scaling of machine learning models at the intersection of research and product
Leverage distributed deep learning frameworks, such as DeepSpeed, FSDP etc…, to perform scaling experiments with the support of engineering and data teams
Collaborate with the engineering teams to find and resolve distributed deep learning training bottlenecks such as checkpointing, model/optimizer compression etc.
Optimize data flows through the model and overall architecture
Leverage frameworks such as Open Neural Network Exchange (ONNX) and TensorRT to create high performance model endpoints
Writing robust, testable code that is well documented and easy to understand
Analyze errors and provide solutions to problems that arise
Present the results of your work to collaborators and leadership
Minimum Qualifications
BSc or MSc in Computer Science, or equivalent industry experience
Proven experience with large scale distributed ML model training
Experience with 3D Parallelism including Tensor Parallelism, Sequence Parallelism and Pipeline Parallelism
Knowledge of frameworks used for model sharding, e.g. DeepSpeed, FairScale
Experience with large scale distributed data processing
Experience with software version control, unit tests, and deployment pipelines
Experience with cloud services & architectures (AWS, Azure, etc.)
Excellent written communication skills to document code, architectures, and experiments
Experience with hardware level systems for high performance computing
Preferred Qualifications
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)
Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry
C++/CUDA experience
The Ideal Candidate
A self-starter with initiative to search for solutions and execute on problems with minimal supervision
A curious, creative problem-solver who is excited to learn & develop new technologies
A fast learner & excellent communicator who can effectively collaborate across global locations
Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
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?
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure CAD Computer Science CUDA Deep Learning Engineering FSDP Generative AI GPU HPC ICLR ICML Machine Learning ML models Model training NeurIPS ONNX Pipelines Research TensorRT
Perks/benefits: Career development Competitive pay Conferences Flex hours
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