Job Requisition ID #
Candidates should take the time to read all the elements of this job advert carefully Please make your application promptly.
23WD74215
Position Overview
We are looking for a ML Engineering Intern to join our team and contribute to a large generative AI model development project.
You will improve the training pipeline, model architecture, and evaluation of our existing generative AI models. This internship offers an opportunity to gain hands-on experience in machine learning engineering and improve the project's success.
Our team is a small, agile applied research team passionate about the impact of artificial intelligence on the product design and manufacturing industry.
Responsibilities
- Collaborate with the Fusion Machine Learning team to identify areas of improvement in the training pipeline, model architecture, and evaluation processes.
- Research and implement state-of-the-art techniques to improve the training and evaluation of generative AI models.
- Conduct experiments and analyze results to measure the impact of the implemented improvements.
- Document the methods used, findings, and improvements achieved throughout the internship.
- Present the progress and outcomes of the project to the team, showcasing the methods used and the achieved improvements.
Minimum Requirements
- Pursuing a Masters or Ph.D degree in Computer Science, Data Science, or a related field.
- Experience with machine learning concepts, algorithms, and cloud platforms such as AWS.
- Proficiency in programming languages such as Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch).
- Experience with model training, evaluation, and optimization techniques.
- Ability to work independently and collaborate effectively in a team environment.
Additional Information
Please note that the specific project within Autodesk’s generative AI efforts will be confirmed closer to the internship start date.
The intern will have the chance to work on one or more functional ML models and contribute to their optimization.
If you are passionate about machine learning engineering, we encourage you to apply for this ML Engineering Intern position.
To apply, please submit your resume and a brief cover letter highlighting your relevant experience and interest in the position.
About The Intern Program
The 2024 U.S. program runs for 12 weeks (May 20 August 9 or June 17 September 6). All internships are paid. As an intern, you will contribute to meaningful projects, be mentored by industry leaders, and participate in tech talks and other activities designed to support your personal and professional development.
Our internships align with Autodesk’s Flexible Workplace approach, which is designed to meet the needs of our business while allowing for office, remote and hybrid work preferences.
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, educational level, and geographic location, and can exceed this range.
For U.S.-based roles, we expect a starting annualized intern base salary to be between :
- $47,840 and $95,680 (undergraduate students)
- $72,800 and $118,500 (Masters / MBA students)
- $118,560 and $162,240 (PhD students)
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.
J-18808-Ljbffr
Data Science/ Machine Learning Engineering Intern
We are looking for an intern to build data science and machine learning solutions for our clients’ complex and real-world problems. As a Data Science Intern, you will be responsible for solving our clients’ real-world problems by delivering data products for both internal and external use. We’re ope...
AIML - Sr Engineering Program Manager, Machine Learning
AIML - Sr Engineering Program Manager, Machine Learning. We’re looking for an outstanding Engineering Program Manager with a solid track record of driving highly cross-functional projects dependent on innovative machine learning technologies. Partner with cross-functional engineering teams to define...
Research Scientist Intern, AI Core Machine Learning (PhD)
We are seeking individuals passionate in areas such as deep learning, computer vision, optimization, natural language processing, machine learning, reinforcement learning, computational statistics, applied mathematics and security/privacy. Research Scientist Intern, AI Core Machine Learning (PhD) Re...
Senior Manager, Machine Learning Engineering
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe...
Sr. Director Machine Learning Engineering, Paramount Advertising
Director Machine Learning Engineering, Paramount Advertising. We are seeking a dedicated and experienced Lead AI/ML Engineer to join our team! The ideal candidate will have a solid background in machine learning and statistical modeling. Apply advanced statistical modeling and machine learning techn...
Sr. Machine Learning Engineer, Monetization Engineering
Build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life the...
Sr. Director Machine Learning Engineering, Paramount Advertising Paramount
We are seeking a dedicated and experienced Lead AI/ML Engineer to join our team! The ideal candidate will have a solid background in machine learning and statistical modeling. Apply advanced statistical modeling and machine learning techniques to develop lead scoring models, identifying high-potenti...
Director of Engineering - Machine Learning and AI
We are seeking a highly skilled and experienced leader to join Rippling’s Applied Machine Learning team. We are using machine learning and large language models to build software which helps our customers operate their businesses more effectively. You will manage a blended team of machine learning m...
Machine Learning Engineering Manager, Stripe Assistant
Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. Be an integral part of a larger ML community internally & externally. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting fle...
Senior Manager, Machine Learning Engineering
Collaborating closely with scientists and engineers, you will enable new AI capabilities for Axon products (Fleet, Axon Body, Axon Air, and more) by supporting the training, evaluation, testing and deployment of machine learning models used at Axon across the board. Director, Machine Learning Engine...