Job Description

Job Requisition ID #

22WD63993

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 to solve problems that matter.

As an AI Research Scientist at Autodesk Research, you will be doing fundamental and applied research that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision, graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction.

As a member of the AI Lab in Autodesk Research you are an experts in research areas such as artificial intelligence, deep learning, machine learning, computer vision, reinforcement learning, information retrieval, natural language processing, and knowledge representation & reasoning.

Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS, ICML, ICLR, SIGGRAPH, and other top-tier conferences. We collaborate with top academic & industry labs, combining the best of an academic environment with product-guided research. We are a global team, located in London, San Francisco, Toronto, and remotely.

Location: Open to San Francisco, Toronto, US Remote or London

Responsibilities

Explore and develop new ML models and AI techniques

Lead and collaborate on research projects within a global team

Review relevant AI/ML literature to identify emerging methods, technologies, and best practices

Work towards long-term research goals, while identifying intermediate milestones

Build relationships and collaborate with academics and institutions

Meet with customers to understand how AI/ML could be applied to their problems

Realize solutions through prototypes

Explore new data sources and discover techniques for best leveraging data

Publish papers; attend and speak at conferences

Think strategically about research directions

Minimum Qualifications

A PhD (or Master's degree + experience) in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines

Publication track record in machine learning conferences and/or journals

Good background in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.)

Expertise in Deep Learning techniques (e.g. Network architectures, regularization techniques, learning techniques, loss-functions, optimization strategies, etc.)

Familiarity with PyTorch, TensorFlow, JAX or similar frameworks

Strong coding abilities in Python and/or C++

Preferred Qualifications

Experience in supporting a research team on ML/DL theoretical aspects, and publishing papers.

Reinforcement Learning

Significant post-graduate research experience, or 5 or greater years of work experience (actual job title/position will be commensurate to experience)

Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry, discrete geometry, functional mapping, geometric deep learning, graph neural networks)

Knowledge Representation & Reasoning

Natural Language Processing

Multi-modal deep learning and/or information retrieval

Architecture, Construction, Manufacturing, Media & Entertainment or other Autodesk domains

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At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

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