Principal Machine Learning Engineer

Position Overview

Autodesk makes software for people who make things. If you've ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films, chances are you've experienced what millions of Autodesk customers are doing with our software. Autodesk's Emerging Media and Entertainment Technology division is hiring Machine Learning Engineers to work on innovative projects that help our customers imagine, design, and make a better world. Reporting to our Director of Research, you will help us with implementing and improving ML models while applying best practices for AI Research. You'll apply ML methodologies and tools to a wide array of data and use cases and help shape the future of media and entertainment technology.

Responsibilities

Implement and enhance new ML models and AI techniques

Apply best practices for AI Research and lead by example

Work collaboratively on research projects within a globally-distributed team

Support research through building experimental pipelines and prototypes

Handle data processing and preparation at scale

Conduct model training and hyperparameter tuning

Analyze model errors and design strategies for mitigation

Collaborate with the Advanced Engineering team to implement effective AI solutions

Minimum Qualifications

BSc or MSc. in a related AI / ML field such as, Computer Science, Mathematics, Statistics, Physics (or similar)

8+ years of experience in software development, developing clear solutions for complex problems

Coding skills in Python and / or C++

Understanding of fundamental CS algorithms and their scaling behavior with a background in statistical methods for Machine Learning

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

Experience with data modeling and data architecture

Experience with TensorFlow, PyTorch, and other standard deep learning frameworks

Excellent documentation skills for code and software architecture

Comfort with ambiguity and the ability to learn and adapt in newly forming areas

Outstanding visual and verbal communication skills

Effective interpersonal skills and a growth mindset

Preferred Qualifications

We appreciate experience with one or more of the following :

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

Diffusion models

Passion for entertainment and media, skills in the use of creative software

Expertise in network architectures, process automation, batch processing, artefact check-pointing, resilience management

Multi-modal deep learning and / or information retrieval

Natural Language Processing

Reinforcement Learning

PhD in a AI / ML related field

LI-Hybrid

LI-CD2

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 :

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