25WD90544

Position Overview

As a Senior ML 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 dedicated RAG programs of work. Your expertise in Information Retrieval as a theoretical discipline and in OpenSearch/ElasticSearch as the enabling tool will drive end-to-end planning, POC-building, offline and online evaluation and features into the hands of users.

The Senior MLE will work to deliver ML-driven technical solutions to customer needs in our platform. Senior MLEs help in coordinating delivery as part of

multi-disciplinary stakeholder teams. This role is hands-on, focusing on technical problem solving with the latest in NLP and ML technology. Our team culture is built on collaboration, mutual support, and continuous learning.

As a Senior MLE, you will provide technical guidance and expertise for the team, and with other stakeholders. 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 RAG 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
• Provide technical leadership and mentorship for less-experienced members of the team to deliver key ML-powered features for our Digital Customer
• Platform.
• Partner with stakeholders, to solve important business objectives across a range of problems
• Translate business requirements and objectives into problems that can be solved with a combination of Data, Statistics, and Machine Learning

Minimum Qualifications

• MS/M.Tech/M.Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Engineering, Economics, Computational Linguistics or related
• field.
• 3+ years of applicable work experience in ML
• Hands-on experience working with OpenSearch/ElasticSearch/Lucene/Solr on large text data
• Hands-on experience of NLU and integrating traditional search techniques into RAG
• Proficiency with the Python Machine Learning stack, e.g. Pandas, etc
• Knowledge of experimental design and analysis of results
• Demonstrate expertise with 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 in production

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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 – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made 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, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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