Machine Learning Engineer

AMER - United States - Michigan - Offsite/Home

Job Requisition ID #


Position Overview

Do you thrive in an environment where you can work on engaging and challenging projects? Do you have a start-up mentality? Every year Autodesk hires talented engineers to join our global teams and benefit from unlimited access to our technology and industry mentors. If this sounds like you… let's talk.

We are growing our Enterprise AI team within the Enterprise Systems & Experience organization to enhance the company's IT systems, applications, and processes with AI technologies. Our engineering culture will empower you to make effective decisions, work collaboratively, and take accountability for engineering projects at the company's core. 

Our team is seeking a highly motivated and experienced Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for building and deploying the AI models needed for our projects. You will work closely with our data engineers to ensure that our AI solutions are accurate, efficient, and scalable.


  • Deploy machine learning models for our AI solutions

  • Collaborate with data engineers and data scientists to ensure that data is available and accessible for model development and deployment

  • Optimize machine learning models for accuracy, efficiency, and scalability

  • Develop and maintain code for model training, testing, and deployment

  • Work closely with other teams to integrate machine learning models into our AI solutions

  • Monitor and troubleshoot machine learning models to ensure accuracy and performance

  • Develop and maintain documentation for machine learning models and code

Minimum Qualifications

  • Master's degree in Machine Learning, Computer Science, Applied Artificial Intelligence, or a related field

  • 5+ years of backend or infrastructure experience

  • 3+ years of hands-on experience in one or more of the following areas: machine learning, machine learning infrastructure, data infrastructure

  • Proven experience deploying ML models and implementing the full lifecycle of model development.

  • Strong programming skills in Python, and machine learning libraries such as Pandas, as well as Jupyter Notebooks

  • Experience with PyTorch, TensorFlow, PyTorch, and and/or natural language processing using NLTK, spaCy, etc

  • Machine Learning expertise in NLP ranking, recommendations, and/or classification algorithms

  • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud

  • Experience working with RAG technologies such as LLM frameworks (Langchain or LLamaIndex), LLM model registries, embedding models, prompting techniques, and vector databases.

Preferred Qualifications

  • Experience with Kubernetes/Container resources for deployments

  • Experience in building AI/ML solutions and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment (AWS, Azure, GCP)

The Ideal Candidate

  • Understand business objectives and develop models that help to achieve them, along with metrics to track their progress.

  • Deals well with ambiguous or undefined problems; ability to think abstractly

  • Comfortable performing requirements analysis, interfacing with stakeholders of various levels and documenting solutions

  • Excellent interpersonal skills

  • Ability to articulate technical topics to non-technical audiences both in writing and using diagrams

  • Energetic team player who works well across boundaries and readily adapts to change and enjoys rapid development

  • Confident of your skills, abilities and willing to share what you know, while learning from others


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!


From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $119,800 and $206,690. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, we also have a significant emphasis on annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Diversity & Belonging

We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here:

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Job Profile


North America


United States


Annual cash bonuses Competitive compensation package Comprehensive benefits package Everyday wellness Financial benefits Health and financial benefits Stock grants Time away Time away and everyday wellness Unlimited access to technology and industry mentors


AI Algorithms Analysis Automation AWS Azure CI/CD Cloud Computing Databases Diversity & Belonging Engineering Google Cloud Kubernetes Machine Learning ML Natural Language Processing Nltk Pandas Python PyTorch Sales Spacy Technology TensorFlow

  • Collaborate with data engineers and data scientists
  • Deploy machine learning models
  • Develop and maintain code for model training
  • Develop and maintain documentation for machine learning models and code
  • Integrate machine learning models into AI solutions
  • Maintain documentation
  • Monitor and troubleshoot machine learning models
  • Optimize machine learning models

5+ years


Applied Artificial Intelligence Business Computer Science Engineering IT Master's degree Master's degree in Machine Learning


America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9