Principal Engineer- Machine Learning

AMER - United States - California - San Francisco - One Market, United States

Autodesk

Autodesk is a global leader in design and make technology, with expertise across architecture, engineering, construction, design, manufacturing, and entertainment.

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Job Requisition ID #

24WD84408

Position Overview  

Autodesk is a global leader in software for designers, engineers, builders, and creators. Our Design and Make Platform empowers our customers with the technology to create the world around us. 

We are seeking an experienced Principal Machine Learning Engineer in our Digital Experience Machine Learning team. You will be bringing a wealth of experience in personalizing customers’ digital experience on our ecommerce platform. At Autodesk, Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation.   

We are a global team. This is a hybrid role and you will report to Director of Machine Learning Engineering in Digital Experience team. 

Responsibilities 

  • As a Principal Machine Learning Engineer at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our platform activities and industry trends to create personalized recommendations that are delivered to our customers at the optimal moment 

  • Work with BIG data, build scalable AI innovations  

  • Write production quality code and influence the next generation of Autodesk customer experience

  • 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

  • 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  

  • Bachelor's or master's degree in computer science, a related technical field, or equivalent practical experience

  • 6+ years of hands-on experience in machine learning design, development and deployment 

  • 6+ years of hands-on experience with data mining, and information retrieval or natural language processing 

  • Hands-on experience in online machine learning model deployment in a cloud service such as AWS

  • Strong background in API development (REST) with experience in designing and implementing robust solutions 

  • Expert-level proficiency in programming languages such as Java, Python, etc. 

  • Proven track record of leading fast-paced engineering teams to tackle large-scale AI problems  

  • Track record of producing papers in conferences such as KDD, WWW, WSDM, and Patenting Innovations 

  • Experienced in Agile development environments, with a proven ability to adapt to dynamic team structures 

  • Skilled at collaborating with distributed teams across various geographies and time zones

  • Proven leadership in incident response, including driving root cause analysis and implementing preventive measures

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!

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 transparency

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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Tags: Agile API Development APIs AWS Big Data CI/CD Computer Science CX Data Mining E-commerce Engineering Java Machine Learning ML models Model deployment NLP Pipelines Python Research Testing

Perks/benefits: Career development Competitive pay Conferences Health care Team events Wellness

Region: North America
Country: United States

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