Senior Machine Learning Engineer

Overview

Job Requisition  # 25WD94218

The Growth Experience Technology Machine Learning Team (GET-ML) @Autodesk

The GET-ML Team is responsible for delivering Machine Learning Features that transform the customer experience for Sales, Marketing, and Customer Success functions  mission is to help customers accomplish their goals through intelligent conversation, search, personalization, and automation, using data, machine learning, and modern NLP techniques to deliver meaningful outcomes at scale.

One of the team’s major focus areas is the Commerce and Support Assistant (CSA), an LLM-driven conversational platform that is deployed in production and supports real customer interactions today. Alongside this work, the team is expanding into multi-agent systems, intelligent orchestration, and other applied machine learning capabilities that extend beyond a single product or interaction pattern. Our work spans conversational question answering, retrieval and ranking, agent-driven workflows, query routing, evaluation and measurement, and the continuous improvement of ML-powered systems operating at scale.

We work in a collaborative and supportive environment that values strong machine learning fundamentals, thoughtful experimentation, and practical impact. Team members partner closely with ML engineers, MLOps, product managers, and business stakeholders, and we encourage continuous learning and discussion about emerging techniques and when they are appropriate to apply.

As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and evolving machine learning systems that support conversational AI, search, multi-agent solutions, and intelligent automation on Autodesk’s customer platforms. You will work end to end, from data exploration and hypothesis formation through modeling, experimentation, deployment, and iteration on systems used by real customers.

This role is designed for someone who enjoys working across the full machine learning lifecycle and who is motivated by applying modern techniques, including large language models, in a rigorous and measurable way. While conversational and retrieval-based systems are an important part of our platform, this role is not limited to assembling existing components. You will have opportunities to adapt and fine-tune models, explore representation learning and ranking approaches, experiment with agent-based architectures, and bring new ideas from the rapidly evolving ML landscape into production.

As a Senior Machine Learning Engineer, you will also help influence technical direction by sharing best practices, mentoring teammates, and contributing to how we design, evaluate, and operate machine learning systems at scale.

Our team strives for excellence in the theory and practice of Machine Learning. We encourage personal development and knowledge sharing.

• Design and implement machine learning capabilities that improve Autodesk’s customer-facing platforms, including conversational question answering, search and retrieval, agent-based workflows, and intelligent automation

• Train, adapt, and improve machine learning models, including classical ML models, deep learning models, and LLM-based systems, for real-world production use cases

• Perform statistical analysis and data exploration to generate datasets for model training, experimentation, and evaluation

• Translate business objectives and product requirements into problems that can be addressed using data, statistics, and machine learning

• 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

• Work closely with engineers, MLOps, and product partners to deploy, monitor, and iterate on ML systems running at scale

• Provide technical leadership and mentorship to less experienced team members, supporting their growth and contributing to a strong team culture

• Contribute to improving evaluation practices, ML tooling, and the overall technical foundations of the team

• MS or PhD in Computer Science, Statistics, Engineering, Economics, or related field. We also…