Senior Machine Learning Engineer

Autodesk

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$131,400–$235,950 / yr
Posted
4 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $216k
This role $184k
$116k most similar roles pay here $278k

This role pays less than 73% of similar roles. Most pay $179,851–$251,775 — the shaded band above. At the midpoint, this role pays about $184k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Autodesk

Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.

Autodesk currently has 44 open roles on FindRole.

Listed pay typically runs $139,000–$249,260 across 42 roles with salary data.

Most-posted roles

View all roles at Autodesk

At a glance

TL;DR · Senior Machine Learning Engineer

As a Senior Machine Learning Engineer on the Growth Experience Technology Machine Learning Team (GET-ML) at Autodesk, you will design and develop machine learning systems that enhance conversational AI, search, multi-agent solutions, and intelligent automation for customer platforms. Your day-to-day responsibilities include training models, performing data exploration, collaborating with cross-functional teams, and deploying ML systems in production environments. You should be proficient in Python’s machine learning stack, have experience with deep learning frameworks like PyTorch, and possess a strong background in NLP and conversational AI. This role involves working on large-scale applications that support real customer interactions, requiring expertise in evaluating model performance and contributing to the continuous improvement of ML-powered systems at scale.

What you'll do

  • Design and implement machine learning capabilities for conversational AI, search, and multi-agent systems.
  • Train and adapt machine learning models, including LLMs, for production use cases.
  • Perform statistical analysis to generate datasets for model training and evaluation.
  • Translate business objectives into ML problems and solutions.
  • Deploy, monitor, and iterate on ML systems running at scale with MLOps teams.
  • Provide technical leadership and mentorship to less experienced team members.

What we're looking for

  • MS or PhD in Computer Science, Statistics, Engineering, Economics, or related field.
  • 3+ years of experience applying machine learning techniques to real-world problems.
  • Proficiency with Python ML stack including Pandas, NumPy, and Scikit-learn.
  • Experience with deep learning frameworks like PyTorch and knowledge of experimental design.
  • Demonstrated ability to work effectively in cross-functional teams and mentor less experienced members.
  • Experience contributing to or supporting machine learning systems in production environments.

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