Intern, Machine Learning Engineering San Francisco, CA, USA

Job Requisition ID # 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. Responsibilites 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. 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, 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. Learn more here