Senior Machine Learning Engineer

Autodesk

Senior Machine Learning Engineer designing and evolving ML systems for customer platforms at Autodesk. Collaborating with cross-functional teams on conversational AI and intelligent automation.

Posted 5/12/2026full-timeCalifornia, Massachusetts, New York • 🇺🇸 United StatesSenior💰 $131,400 - $235,950 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Design and implement machine learning capabilities for customer-facing platforms
Train, adapt, and improve machine learning models
Perform statistical analysis and data exploration
Translate business objectives into data problems
Collaborate with team members to reach better solutions
Work closely with engineers, MLOps, and product partners
Provide technical leadership and mentorship to team members
Contribute to improving evaluation practices and ML tooling

Requirements

What you’ll need

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, such as PyTorch
Knowledge of experimental design and analysis
Experience or strong interest in NLP, information retrieval, conversational AI, or LLM-based systems
Ability to work effectively in cross-functional teams

Benefits

Comp & perks

Health and financial benefits
Time away
Everyday wellness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningstatistical analysisdata explorationPythondeep learningPyTorchexperimental designnatural language processinginformation retrievalconversational AI

Soft Skills

technical leadershipmentorshipcollaborationproblem-solvingcross-functional teamwork

Certifications

MS in Computer SciencePhD in Computer ScienceMS in StatisticsPhD in StatisticsMS in EngineeringPhD in EngineeringMS in EconomicsPhD in Economics