Senior Machine Learning Developer

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