обновлено 21 день назад
Machine Learning Engineer Intern (AML) (Machine Learning Infrastructure)
43 - 43$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Engineer Intern (AML) (Machine Learning Infrastructure) (AI/ML infrastructure): Improving model training and serving workflows, data pipelines, storage systems, and resource management for multi-tenant machine learning systems with an accent on scalable infrastructure and ranking platforms. Focus on designing key ML infrastructure components, optimizing data-driven workflows, and supporting ads, search, live, and e-commerce ranking systems.
Location: Seattle, United States; fully in-person schedule up to 5 days a week
Salary: $42.75 per hour
Company
operates data privacy, cybersecurity, trust, and safety programs for U.S. users, apps, and algorithmic systems.
What you will do
- Improve workflows for model training and serving in multi-tenant machine learning systems.
- Develop and optimize data pipelines, storage systems, and resource management.
- Design and develop key components of machine learning infrastructure.
- Support AI infrastructure and recommendation platforms for ads, search, live, and e-commerce ranking.
- Apply machine learning engineering knowledge to real-world projects during a 12-week internship.
Requirements
- Currently pursuing a bachelor's degree in computer science, computer engineering, software engineering, or a related technical discipline.
- Available for a 12-week internship during Summer 2027.
- Proficient coding skills and a strong foundation in algorithms and data structures.
- Effective communication and teamwork skills.
- Please include internship start and end dates in the resume.
Nice to have
- Currently pursuing a master's degree in a related technical discipline.
- Experience using or designing open-source machine learning lifecycle management systems such as TFX.
- Critical, rational, data-driven, and results-oriented thinking.
Culture & Benefits
- Hands-on experience, industry exposure, and practical work on real-world challenges.
- Social events, learning programs, and development workshops with industry professionals.
- Health insurance, life insurance, wellbeing benefits, paid holidays, and paid sick time from the first day.
- Housing allowance may be available for interns who are not working 100% remotely.
- Reasonable accommodations are available during the recruitment process.
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