Machine Learning Intern, Integral Ad Science
Global media measurement & optimization
Be an early applicant
Global media measurement & optimization
1001+ employees
Be an early applicant
1001+ employees
Company mission
To be the global benchmark for trust and transparency in digital media quality.
Role
Who you are
- Prior experience with large-scale clustering, streaming algorithms, or online learning frameworks
- Familiarity with embedding techniques used in image, text, or multimodal models (e.g., CLIP, BERT, ViTs)
- Contributions to visualization tools or dashboards that make unsupervised patterns interpretable
- Curiosity for building robust AI systems that can adapt and evolve over time
What the job involves
- As an ML Intern, you will contribute to the development of scalable techniques for tracking the evolution of clusters in high-dimensional embedding spaces.
- This project focuses on online clustering algorithms that can operate efficiently at large scale, with applications in understanding dynamic patterns in embeddings over time
- This internship provides a unique opportunity to work at the intersection of unsupervised learning, representation learning, and large-scale systems
- Explore and implement online clustering algorithms suited for embedding data (e.g., from image, text, or multimodal models)
- Develop pipelines to track and visualize the temporal evolution of clusters across streaming or periodically updated datasets
- Investigate state-of-the-art clustering and representation tracking methods (e.g., streaming k-means, incremental DBSCAN, vector quantization)
- Design and run experiments to benchmark clustering stability, scalability, and interpretability
- Work closely with AI researchers and engineers to integrate clustering insights into downstream model or product pipelines
- You should apply if you have most of this experience:
- Currently pursuing or recently completed a degree in Computer Science, Machine Learning, Applied Mathematics, or a related field
- Solid understanding of clustering algorithms, high-dimensional embeddings, and unsupervised learning
- Proficiency in Python and experience with ML/AI libraries such as PyTorch, scikit-learn, or TensorFlow
- Comfort working with large datasets and scalable data processing tools (e.g., NumPy, pandas, or PySpark)
- A strong interest in dynamic systems, time-evolving data, or streaming algorithms
Our take
Integral Ad Science (IAS) provides verification, optimization, and analytics solutions for the ad industry. It’s a sector that has changed radically since the company was founded back in 2009, but IAS has shown remarkable business savviness in navigating the ups, downs, and advances of the intervening years.
Since being acquired by Vista in 2018, IAS has implemented an aggressive acquisitions strategy of its own. This saw IAS extend its footprint to cover blockchain, TV, photo, and video content, deepen its partnership with TikTok, and expand its safety and suitability measurement program in Twitter. And this helped IAS diversify its product offering to remain competitive in the increasingly crowded adtech and martech markets.
IAS now has a substantial global footprint, and following an IPO has been demonstrating impressive sales, with year-on-year revenue growth exceeding 25% over 2022. Armed with a strong foundation and a road map that balances its focus between traditional advertising and new avenues like web3, its future looks set to be bright.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2014
$30m
SERIES D
Apr 2012
$10m
SERIES C
Total funding: $49.8m
Company benefits
- Healthcare: comprehensive health insurance
- Flexible PTO: Take what you need, when you need it
- Retirement: 401k match in the US, 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
Company HQ
Midtown East, New York, NY
Leadership
Lisa Utzschneider
(CEo)Prior to joining Integral Ad Science in 2018, Lisa spent 3 years at Yahoo working as an SVP of American Sales and then as CRO. She also spent 6 years at Amazon as a Global VP of Advertising Sales and 10 years at Google as a GM of Sales.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 20 more jobs at Integral Ad Science