FAQs
What is the hourly pay for the Fraud ML Engineer Intern position?
The hourly pay for this position is $40 per hour.
What qualifications are required for this internship?
A PhD or master's degree in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience) is required.
What skills are necessary for the Fraud ML Engineer Intern role?
Necessary skills include practical experience building ML systems, knowledge of automated data labeling, proficiency in SQL, and expertise in scripting languages like Python or R.
How often are interns required to come into the office?
Interns are required to come into the NYC office 1-3 times a week.
What types of projects will the intern be working on?
The intern will work on prototyping and developing unique identity signals for fraud detection, as well as developing automated ML detection systems.
Is experience in deep learning desired for this role?
Yes, knowledge of cutting-edge research in ML applications and deep learning is desired.
Will interns have the opportunity to collaborate with other team members?
Yes, the intern will collaborate with a team of highly motivated ML researchers and developers and will own projects from end-to-end.
What is the company's mission?
The mission of Integral Ad Science is to be the global benchmark for trust and transparency in digital media quality.
Is the company committed to diversity and inclusion?
Yes, IAS is an equal opportunity employer committed to diversity and inclusiveness, encouraging women, people of color, LGBTQIA community members, people with disabilities, and veterans to apply.
Where can I find more information about Integral Ad Science?
More information about IAS can be found on their website at http://integralads.com/.