23WD73028
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 Infrastructure and Cloud Engineering 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.
Responsibilities
- 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
- 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
Minimum Qualifications
- Master's degree in Machine Learning, Computer Science, Applied Artificial Intelligence, or a related field
- 3+ years of experience in machine learning engineering or a related field
- Strong programming skills in Python
- Experience with PyTorch
- Machine Learning expertise in NLP & LLMs algorithms
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud
Preferred Qualifications
- Machine Learning expertise in ranking, recommendations, classification algorithms
- Experience with TensorFlow
- Experience with Kubernetes/Container resources for deployments
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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