Autodesk
Technology
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at Autodesk. Skills: Machine Learning, Conversational AI, LLM, MLOps. Design and implement machine learning capabilities. Train, adapt, and improve machine learning models”
What You'll Achieve.
Deliver meaningful outcomes at scale; Improve customer experience; Transform customer experience
Industry & Context.
Hypothesis formation; Data-driven decision making
Occasional in-office collaboration
What They're Looking For.
Must Have
MS or PhD in Computer Science, Statistics, Engineering, Economics, or related field, 3+ years of applicable work experience in ML, Demonstrated experience applying machine learning techniques, Proficiency with the Python machine learning stack, Experience with at least one deep learning framework, Knowledge of experimental design and analysis, Experience or interest in NLP, information retrieval, conversational AI, or LLM-based systems, Ability to work effectively in cross-functional teams, Experience contributing to or supporting machine learning systems in production environments
Nice to Have
Experience working with Large Language Models, Exposure to fine-tuning or adapting LLMs or embedding models, Experience with information retrieval, learning-to-rank, recommender systems, or other NLP-driven applications, Familiarity with search technologies, Experience with data pipelines, model serving, or MLOps practices, Advanced software engineering skills
What You'll Do.
Design and implement machine learning capabilities
and improve machine learning models
Perform statistical analysis and data exploration
Translate business objectives into problems addressable by ML
Collaborate with team members
Work closely with engineers
and iterate on ML systems
Provide technical leadership
Mentor less experienced team members
Contribute to improving evaluation practices
Contribute to improving ML tooling
Contribute to improving technical foundations
How You'll Work.
Team & Collaboration
Cross-functional teams; ML engineers; MLOps; Product managers; Business stakeholders; Engineers; Product partners
Full Job Description
**Job Requisition ID #** 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 at Autodesk. Our 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. **Position Overview** 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
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