Senior Machine Learning Engineer

Role Overview

Senior Machine Learning Engineer for Autodesk’s Growth Experience Technology Machine Learning (GET-ML) team. You will design, develop, and evolve ML systems powering conversational AI, search, personalization, and automation—especially the Commerce and Support Assistant (CSA), an LLM-driven conversational platform in production. The team is also expanding into multi-agent systems and intelligent orchestration to enable scalable, real-world customer interactions.

Responsibilities

• Design and implement ML capabilities for customer-facing platforms, including:
  • Conversational question answering
  • Search and retrieval
  • Agent-based workflows
  • Intelligent automation
• Train, adapt, and improve machine learning models, including:
  • Classical ML models
  • Deep learning models
  • LLM-based systems
• Perform data exploration and statistical analysis to generate datasets for training, experimentation, and evaluation
• Translate business objectives and product requirements into data/statistics/ML problems
• Collaborate with ML engineers, MLOps, product managers, and business stakeholders to deliver cutting-edge solutions
• Work with engineering and MLOps partners to deploy, monitor, and iterate on ML systems operating at scale
• Provide technical leadership (best practices, mentoring, and contributing to evaluation and operations approaches)

Requirements

• Strong interest and ability to work across the full machine learning lifecycle (from data exploration and hypothesis to modeling, experimentation, deployment, and iteration)
• Ability to apply modern ML techniques in a rigorous and measurable way, including large language models

Nice-to-haves (implied by responsibilities)

• Experience adapting/fine-tuning models and exploring representation learning and ranking approaches
• Experience experimenting with agent-based architectures and orchestration
• Experience with evaluation/measurement of ML systems in production