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Fraud ML Engineer Intern

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • New York

AI generated summary

  • You need a PhD or master's in a quantitative field, ML systems experience, SQL skills, Python or R expertise, and a passion for science and collaboration.
  • You will research and develop automated ML detection systems, collaborate with engineers on integrations, and drive projects from end-to-end within the fraud technology team.

Requirements

  • PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience)
  • Practical experience building ML systems, ideally using weak supervision and automated data labeling. End-to-end ownership of your work: from prototyping, debugging, evaluation, optimization, production deployment, to live monitoring
  • Knowledge of cutting edge research in ML applications and deep learning
  • Capable of using SQL to answer key data questions at the drop of a hat
  • Expertise in standard scripting languages used in data science for statistical computation: Python, R
  • A love of science, the scientific method, and faith in your fellow practitioners in the scientific trade

Responsibilities

  • Drive innovative research within the fraud technology team, improve the accuracy and increase the scope of our detection capabilities in web, mobile, CTV, gaming, social media etc.
  • Develop automated ML detection systems based on science, data, and ML applications.
  • Join a team of highly motivated ML researchers and developers, own projects from end-to-end, while collaborating with team members, learning, mentoring, contributing to the collective impact data science has on the IAS business
  • Collaborate with engineers to integrate fraud solutions within larger engineering workflows

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/.

Integral Ad Science is a global leader in digital media quality.

Marketing & Advertising
Industry
501-1000
Employees
2009
Founded Year

Mission & Purpose

Integral Ad Science (IAS) is a company that specializes in providing digital advertising verification and optimisation solutions. They offer a comprehensive suite of tools and technologies that enable advertisers and publishers to ensure the quality, safety, and effectiveness of their digital advertising campaigns. IAS's ultimate mission is to create a transparent and trustworthy digital advertising ecosystem by combating fraud, ensuring brand safety, and maximising ad viewability and effectiveness. Their purpose lies in providing advertisers and publishers with the data-driven insights and tools they need to make informed decisions, optimise their ad placements, and protect their brands from fraudulent and non-compliant activities. Through their innovative technology and partnerships, IAS aims to drive accountability, improve ad experiences, and foster a sustainable and reliable digital advertising environment for all stakeholders involved.

Culture & Values

  • We Innovate

    We build cool stuff. Innovation is at the core of what we do. We build products, deliver solutions, and generate ideas that provide valuable functions for our customers.

  • We are Accountable

    We hold ourselves and each other accountable for our conduct with teammates and our customers. We take full ownership for our deliverables.

  • We are One Team

    We value and rely on each other. We are inclusive. We show up for each other, and we act with empathy and consideration for the benefit of the team. None of us succeeds if our team doesn’t succeed. So, we never say “that’s not my job.” #WeAreOneTeam

  • We Do The Right Thing

    We value and rely on each other. We are inclusive. We show up for each other, and we act with empathy and consideration for the benefit of the team. None of us succeeds if our team doesn’t succeed. So, we never say “that’s not my job.” #WeAreOneTeam

  • We are Customer Obsessed

    We put the customer front and center of everything that we do. Our customers’ success is our success

  • We Have a Bias For Action

    Speed matters in business. We move at high velocity and we privilege risk-taking.

Benefits

  • Healthcare

    Comprehensive health insurance

  • Flexible PTO

    Take what you need, when you need it

  • Retirement

    401k match in the U.S., country-specific pension plans

  • Parental Leave

    Full maternity and paternity leave

  • Community

    Volunteer opportunities

  • Celebrating Team Players

    Peer-nominated awards

  • Meals and Snacks

    Stocked kitchens to fuel your day

  • Team Events

    Frequent happy hours, parties, and outings