Software Engineer - Machine Learning

Job Requisition ID #

25WD88676

Position Overview

Are you a recent graduate or early-career engineer excited about building real-world software with a touch of AI? Join the AI team at Autodesk and help shape the future of construction through AI-enhanced tools and intelligent automation. We’re looking for software engineers with a strong foundation in programming and an interest in machine learning (ML), Generative AI (GenAI), Natural Language Processing (NLP), or Computer Vision (CV). You’ll help develop robust software solutions that integrate ML capabilities into the Autodesk Construction Cloud — one of the leading platforms transforming the construction industry.

Why Autodesk?

• Build real products used by thousands of teams in the global construction industry

• Join a fast-growing AI team at the forefront of GenAI, NLP, and CV

• Learn and grow with mentorship, real-world challenges, and the opportunity to work with cutting-edge technologies

• Be part of a supportive, product-driven culture where your ideas and work make a difference

Responsibilities

• Build and maintain software components that integrate ML models into scalable cloud-based systems

• Collaborate with ML and data science teams to bring AI prototypes to life and integrate them into production workflows

• Develop REST APIs and services for model inference, orchestration, and downstream platform usage

• Process, transform, and manage unstructured data like documents, images, and text in support of AI features

• Ensure high performance, reliability, and maintainability of software components within our agile development cycles

• Participate in code reviews, testing, and continuous improvement of software development practices

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field

• 2 to 4 years of strong programming skills in Python; familiarity with modern software engineering practices (version control, CI/CD, testing, etc.)

• Familiarity with cloud platforms like AWS

• Familiarity with tools or libraries such as PyTorch, TensorFlow, OpenCV, Hugging Face Transformers, or SpaCy is a plus

• Exposure to ML/AI concepts through coursework, internships, projects, or personal exploration

• Familiarity with tools or libraries such as PyTorch, TensorFlow, OpenCV, Hugging Face Transformers, or SpaCy is a plus

• Understanding of RESTful APIs and frameworks like FastAPI or Flask

• Eagerness to learn, collaborate, and contribute in a dynamic, cross-functional team

Preferred Qualifications

• Hands-on experience with ML applications in NLP, computer vision, or generative AI

• Exposure to data engineering or MLOps concepts

• Understanding of vector databases (e.g., FAISS, Pinecone) or prompt engineering techniques

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Learn More

About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

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