Machine Learning Engineer

Position Overview

As a Machine Learning Engineer on the team, you will be responsible for leading/contributing to the design, analysis, and delivery of data-driven solutions to significant business challenges across a program of work. ML Engineers work to deliver ML-driven technical solutions to customer needs in our platform.

Our team culture is built on collaboration, mutual support, and continuous learning. We emphasize an agile, hands-on, and technical approach at all levels of the team. As a group, we want to continuously improve our Machine Learning as well as our knowledge of trends and techniques relevant to our areas. Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.

Responsibilities
 

• Design and implement Machine Learning capabilities that improve Autodesk’s eCommerce & Customer platforms

• 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

• MTech/MMath/MS or PhD in Computer Science, Statistics, Engineering, Economics, Computational Linguistics or related fields

• 0-3 years of applicable work experience in ML

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

• Proficiency with SQL for data analysis and wrangling

• Knowledge of experimental design and analysis of results

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

Preferred Qualifications
 

• Familiarity with 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

• 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

• Experience with long-text search with ElasticSearch, OpenSearch, Lucene, Solr etc

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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!

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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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