Job Requisition ID #

25WD89404

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. Sr 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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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!

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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