Principal Machine Learning Ops

24WD83248

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. As a Principal Software 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 researchers and engineers to bring the ML models they develop into 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.

 Responsibilities

• Test and Deploy Production Models: Automate ML model testing. Implement and use CI/CD pipelines to ensure seamless model deployment

• Monitor Model Health and Performance: Define, implement, and continuously monitor health metrics for deployed models. Track errors and issues in order of severity, providing timely and effective solutions

• Manage Re-Training Pipelines: Take ownership of the re-training pipeline for deployed ML models, ensuring they are continuously updated and optimized for performance

• Optimize Performance and Efficiency: Identify opportunities to enhance model performance, reduce computational costs, and minimize latency. Implement best practices to achieve these goals

• Product Ownership: Adopt a full product ownership mindset, escalating issues when necessary and effectively presenting results and insights to stakeholders and leadership

               

Minimum Qualifications

• BSc or MSc in Computer Science, or equivalent industry experience

• 3+ years of software development experience

• Experience scaling ML training and data pipelines and working with distributed systems

• Experience with cloud services and architectures (e.g. AWS, Azure).

• Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray)

• Experience with version control, reproducibility, and deploying machine learning models

• Excellent written documentation skills to document code, architectures, and experiments

  

Preferred Qualifications

• Knowledge of the design, manufacturing, AEC, or media & entertainment industries

• Experience with Autodesk or similar products (CAD, CAE, CAM, etc.)

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!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $146,900 and $237,600. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

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.

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

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