Wurl Logo

Wurl

Data Science Intern

Posted One Month Ago
Remote
Hiring Remotely in United States
30-30 Hourly
Internship
Remote
Hiring Remotely in United States
30-30 Hourly
Internship
Supports the Data Science and Machine Learning team by analyzing large-scale datasets, identifying anomalies and root causes, developing data validation and normalization methods, and improving the accuracy of derived data products. The intern will evaluate models, translate ambiguous problems into statistical formulations, debug messy data, test hypotheses, and implement maintainable analytical solutions using Python, SQL, and distributed data platforms.
The summary above was generated by AI

About Wurl, LLC.

At Wurl, our mission is to create innovative technologies and services that help accelerate the shift to streaming. At our core, we are innovators focused on driving the streaming industry forward with technologies that help connect viewers to the right content and ads. Our technology and data-driven solutions help companies reach new audiences, engage high-value viewers, and ultimately increase their revenue.

In 2022, Wurl was acquired by AppLovin (Nasdaq: APP), a leading marketing platform, giving our employees the best of both worlds: the dynamic environment of a 150+ person startup as well as the stability of a high-growth public tech company. We invest in providing a culture that fosters passion, drives excellence, and encourages collaboration to drive innovation. Wurl is a fully-remote company that has been globally recognized for our people and technology, having been named a Great Place to Work by Fortune in 2022, 2023, and 2024; an Ad Tech Company of the Year finalist by the UK Business Tech Awards in 2023; a BIG Innovation Awards winner in 2024 and 2025; and the “Innovation in Advertising” winner by the StreamTV Awards in 2024.


About the role:

Wurl is seeking an intern with proven academic achievements in data analytics related fields for a year long internship. Wurl’s position in the video and ad delivery ecosystem generates large quantities of data that needs to be carefully analyzed and normalized. We’re looking for an intern that can become familiar with Wurl’s datasets and their usage and support our Data Science and Machine Learning team. The ideal candidate is a PhD / MSc in the field of DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science.


Responsibilities: 
  • Perform analysis tasks to identify anomalies and their root cause as well as propose and put in place validations to programmatically identify such conditions
  • Propose methods to normalize the data, implement them, check accuracy and iterate until sufficient accuracy is achieved 
  • Increase the accuracy of derived datasets and data products

Qualifications:
  • Education - 
    • PhD / MSC preferred. BSc with high gpa, multiple majors, notable projects is also accepted
    • Field: DataScience, AI/ML, Statistics, Physics, Mathematics, or Computer Science
  • Technical
    • Graph algorithms and network analysis
    • Large-scale data analysis
    • Data quality and anomaly detection
    • Agentic / AI-assisted software development
    • Familiarity with distributed data platforms such as Snowflake / Databricks
    • Strong Python and SQL
    • Applied statistics and probability
    • Machine learning fundamentals
    • Experiment design and causal reasoning
    • Optimization / decision-making under uncertainty
    • Ability to write clean, maintainable analytical code
    • Non agentic development experience is mandatory
    • Nice to have
  • Modeling / Research
    • Comfortable evaluating models beyond headline metrics
    • Experience moving from research idea → prototype → validated result
    • Ability to translate ambiguous problems into mathematical or statistical formulations
    • Strong intuition for uncertainty, bias, variance, and noisy data
    • Strong quantitative reasoning and mathematical knowledge
    • Nice to have
  • Problem Solving
    • Ability to recognize when results look wrong
    • Comfortable working with incomplete, messy, or contradictory data
    • Advanced analytical problem-solving ability
    • Strong debugging and root-cause analysis skills
    • Ability to form and test hypotheses quickly
    • Nice to have
  • Personal Attributes
    • High intellectual curiosity
    • Strong ownership and initiative
    • Rapid learner
    • Independent thinker
    • Comfortable challenging assumptions
    • Willingness to continue digging into 'funny' things until they make sense
    • Effective communication skills and team player.

What We Offer:
  • Paid internship ($30/hr) with flexible scheduling.
  • Remote-first work culture and support.
  • Mentorship from experienced engineers and product experts.
AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here.
 
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at [email protected]
 
AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.  If you’re applying for a position in California, learn more here.
 
Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.
HQ

Wurl Palo Alto, California, USA Office

101 University Ave, Suite 300, Palo Alto, CA, United States, 94301

Similar Jobs

10 Days Ago
In-Office or Remote
6 Locations
Internship
Internship
Retail • Analytics
Work full time on a defined data science and analytics project using production robot, retail, and operational data. Responsibilities include SQL and Python analysis, BigQuery and dbt workflows, dimensional modeling, dashboard development, data-quality validation, analytical insights, and collaboration with technical and business stakeholders. Interns present their project and results at the end of the program.
Top Skills: Apache AirflowBigQueryDbtGitGoogle Cloud PlatformJupyterLarge Language Models (Llms)LookerPandasPower BIPythonSQLTableau
25 Days Ago
Remote
USA
20-20 Hourly
Internship
20-20 Hourly
Internship
Cybersecurity
Supports evaluation and governance of agentic AI harnesses by defining benchmarks, running structured evaluations, analyzing telemetry, identifying failure modes, tuning prompts and models, and maintaining audit-ready governance processes. The intern will collaborate with AI and AppSec teams, document methodologies, and participate in limited client-facing engagements under mentorship. This is a part-time, remote, 12-week paid internship requiring 25–29 hours weekly.
Top Skills: Agentic AiLlm ApisNumpyPandasPython
2 Months Ago
Remote or Hybrid
United States
23-45 Hourly
Internship
23-45 Hourly
Internship
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Summer intern assisting with IT solution design and implementation, supporting cybersecurity initiatives through security protocol analysis, and collaborating with data science teams to analyze data and generate actionable insights. The role offers hands-on experience, mentorship, and professional development within Honeywell Aerospace. Candidates must remain enrolled in a relevant degree program, maintain at least a 3.0 GPA, and meet U.S. person requirements.
Top Skills: CybersecurityData ScienceInformation Technology

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account