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Job Requisition ID #

24WD78385

Position Overview: Marketing Data Domain

The Principal Snowflake AI/ML Engineer will be responsible for leading the design, analysis, and delivery of data-driven solutions to significant business challenges. This role involves working at a programmatic scale, coordinating delivery with multiple stakeholder teams. The team culture emphasizes collaboration, mutual support, and continuous learning. As a Principal AI/ML Engineer, you will provide technical guidance and thought leadership for the team and the company. The team strives for excellence in the theory and practice of Machine Learning and encourages personal development and knowledge sharing. You will report to Senior manager and its a hybrid work model.

Responsibilities

• Lead, mentor, develop, and manage less-experienced members of the team to deliver key ML-powered features for our Marketing Analytics Platform

• You will develop a program of work, partnering with stakeholders, to solve strategic business objectives across a range of horizons.

• Work on new use cases on the Application of Generative AI

• Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning

• You will design and implement Machine Learning capabilities that improve Autodesk's Marketing Data Platform.

• You will perform statistical and data analysis and exploration to generate datasets for model training and development.

• Collaborate with other members of the team to reach better solutions, and to position our team at the cutting edge of technology and ML practice.

Minimum Qualifications

• 5+ years of applicable work experience in ML

• 5+ years of hands-on experience in Snowflake with Marketing data domain

• 3+ years of of experience on Generative AI projects.

• 2+ years managing or leading an ML team

• Proficiency with the Python Machine Learning stack, e.g. Pandas, etc

• Knowledge of experimental design and analysis of results

• Demonstrate experience applying Machine Learning, including both Deep Learning (PyTorch) and Classical ML (Scikit-Learn)

• Demonstrate experience with leading Machine Learning teams in deploying and improving ML features in production.

• Demonstrate experience working in cross-functional teams to deliver ML solutions at scale.

• Familiarity Large Language Models, especially in the context of interactive dialog systems and chatbots (RAG, Generative AI, Conversational Agents)

• Experience deploying systems that use NLP such as Information Retrieval (IR), Recommender Systems (RecSys), or other NLP Applications

Preferred Qualifications

• SQL and experience with big data technology such as Hive, Presto, Glue, (Py)Spark, or Athena

• Advanced software engineering skills including data structures and algorithms.

• Experience with data pipelines and model serving in AWS.

• Experience with MLOps, especially on AWS, at scale.

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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

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