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About the Role
As an Engineering Intern, you will join the Machine Learning Team to develop robust, well-designed products, implement new updates and features, and solve complex problems that affect our business and our clients. Rippling Interns gain the experience of full-time engineers with responsibilities, ownership, and opportunity. Interns will be assigned impactful projects scoped to fit within the time constraints of their internship so they can see the full impact of their work. We provide exciting and innovative projects, a dedicated mentor and manager, and opportunities to connect with fellow interns and Rippling leaders.
Responsibilities
- Translate product needs into mathematical formulations (models), train models, and ship them to production.
- Design scalable machine learning pipelines for data preprocessing, feature engineering, model training, and evaluation.
- Work with data engineers to collect and preprocess data sets for model training.
- Stay up-to-date with the latest research in ML and related fields, and apply this knowledge to improve Rippling products.
Requirements
- Currently enrolled in a M.Sc. or Ph.D. program in computer science or a related field during the internship.
- Solid programming skills with an emphasis on backend experience and knowledge.
- Excellent communication skills.
- Passion to learn and develop skills in machine learning and software engineering.
Skills
- Python
- PySpark
- PyTorch
- Large language models (LLMs)
- Pre-training techniques
- Fine-tuning techniques
Location
- San Francisco
- New York
Work Type
- Onsite
Experience Level
- Internship
Education Level
- M.Sc. or Ph.D. program in computer science or related field
About the Company
- Rippling is committed to building a diverse and inclusive workforce.
- Rippling highly values having employees working in-office to foster a collaborative work environment and company culture.
Equal Opportunity
- Rippling is an equal opportunity employer.
- We do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics.
- Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process.