What are the responsibilities and job description for the Fellow in Research Engineering, Kempner Institute position at Harvard University?
Fellow in Research Engineering, Kempner Institute
Title : Fellow in Research Engineering, Kempner Institute
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.
School : Faculty of Arts and Sciences
Department / Area : Kempner Institute for the Study of Natural and Artificial Intelligence
Position Description : The Engineering Fellowship Program at Kempner Institute at Harvard University offers a structured opportunity for recent graduates (fellows) to further their experience in AI / ML engineering. The program provides fellows with a comprehensive, hands-on learning experience that prepares them for a successful career in the AI / ML field.
Engineering Fellows will interact directly with a member of the Kempner Institute Research Engineering team to advance their skills and understanding of advanced technologies. This includes developing cutting-edge AI / ML models and datasets; optimizing AI / ML models including scaling across a large set of GPUs; building or optimizing LLMs for complex tasks; developing new models of brain circuits and function; and learning software engineering best practices for reliable, reproducible open-source AI / ML scientific software packages.
Products resulting from the fellows' activities, such as code, models, or datasets, may be published on Kempner Institute public channels, including GitHub , Hugging Face , or our Research Blog .
Fellowship Details : This is a full-time (35-hour per week) position. Fellows are appointed for a minimum 6-month commitment, typically renewed for an additional 6-month term based on satisfactory performance and mutual interest. The program is fully on-site in the Kempner Institute, 6th floor, Science and Engineering Complex in Allston, MA. Remote work is not possible. Applicants must be legally eligible to work in the United States; visa sponsorship is not available for this position.
Basic Qualifications :
- Proficiency in coding (Python) and deep learning frameworks (PyTorch) with a drive to enhance these skills.
- Familiarity with AI / ML fields such as Natural Language Processing, Computer Vision, Reinforcement Learning, or a strong interest in exploring them.
- Basic data preprocessing, feature engineering, and model evaluation experience, or a strong willingness to gain hands-on experience.
- Eagerness to learn HPC concepts, including parallel computing, distributed systems, and optimization.
- Analytical skills, problem-solving abilities, and a growth mindset.
Additional Qualifications : Applicants should be within three years of graduation from a bachelor’s or master’s degree at the time of application.
Special Instructions : Applicants should submit a resume and a cover letter which :
Cover letters should also include a rating for your :
Using the following ratings :
Contact Information :
Equal Opportunity Employer : We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.
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