CAMPUS: Applied Scientist Summer Associate (2025)

utions, and summarize model results for business stakeholders.

"I am the person Capital Group is looking for."

• Currently pursuing a Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

• Relevant coursework or projects in machine learning, artificial intelligence, and data analysis.

• Practical experience or strong interest in Large Language Models (LLM) and generative AI, including parameter-efficient fine-tuning, instruction fine-tuning, advanced prompt engineering, and Agent technology.

• Basic knowledge of Machine Learning and Deep Learning architectures, such as Transformers, training methodologies, and optimization techniques.

• A strong commitment to staying current with the latest advancements in the field and applying cutting-edge academic research to solve complex business challenges.

• Experience contributing to research communities, such as publishing papers or blog articles related to machine learning, is a plus.

Base Hourly Rate: $40/hour

#LI-DNI

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

• Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.