Machine Learning Engineer Intern (3-month Internship)
Seoul, Korea
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time · Internship — employment source
Fluent in speaking and writing both Korean and English This is a full-time internship running from January 2027 to April 2027, based in Seoul. We are looking for candidates with two or fewer semesters remaining before graduation as of the internship start date, as well as recent graduates. Supporting Your Best Work and Your Best Life:
Read the full posting
What you’ll work on
Full postingRun experiments on machine learning models for large-scale ad problems
Work on model architecture design, feature engineering and performance optimization
Enhance ML training and serving infrastructure, including TPU/GPU training
Build scalable data pipelines with Spark or Apache Beam
Build microservices for ML inference and systems for ML data validation and monitoring
From the employer’s posting
Conduct experiments on state-of-the-art machine learning models for real-world, large-scale problems
including model architecture design, feature engineering, and performance optimization
Enhance the infrastructure that powers large-scale ML experimentation, training, and serving.
scalable data pipelines (Spark / Apache Beam)
microservices for ML inference, scalable data pipelines (Spark / Apache Beam), and systems for ML data validation and monitoring
Tools in this posting
- Go
- Java
- Python
- Spark
Source — Tool mentions in context
- Strong algorithms and data structure skills. - Fluent with at least one programming language including Python, Java, and Golang. - Fluent in speaking and writing both Korean and English
- We are looking for interns who can contribute to ML Modeling: Conduct experiments on state-of-the-art machine learning models for real-world, large-scale problems, including model architecture design, feature engineering, and performance optimization. - We are looking for interns who can contribute to ML Infra: Enhance the infrastructure that powers large-scale ML experimentation, training, and serving. This includes TPU/GPU-based model training, microservices for ML inference, scalable data pipelines (Spark / Apache Beam), and systems for ML data validation and monitoring. How Do I Know if the Role is Right For Me?
About Moloco
We help our customers win by delivering durable value.
In the employer’s words · Read in context
Posting record
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- Live
- First seen by us
- Oct 26, 2026 · 3 days ago
- Recorded sightings
- 4
- Last seen by us
- Oct 29, 2026
- Reposted
- once since Apr 15, 2026
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Job description
About Moloco:
Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet.
Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture), the AI system behind every Moloco product.
At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next.
The Impact You’ll Be Contributing to Moloco:
- We are seeking exceptional Machine Learning intern to join us in building a state-of-the-art machine learning system. MOLOCO's programmatic advertising engine is powered by custom deep neural network models that handle 1M+ QPS at 7 ms prediction latencies.
- MOLOCO is an engineering company founded by software engineers, and machine learning is the core of MOLOCO's engineering systems. We understand the value of a strong engineering team and strive to hire only the best software engineers as seen here (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google https://cloud.google.com/customers/moloco/
The Opportunity:
- We are looking for interns who can contribute to ML Modeling: Conduct experiments on state-of-the-art machine learning models for real-world, large-scale problems, including model architecture design, feature engineering, and performance optimization.
- We are looking for interns who can contribute to ML Infra: Enhance the infrastructure that powers large-scale ML experimentation, training, and serving. This includes TPU/GPU-based model training, microservices for ML inference, scalable data pipelines (Spark / Apache Beam), and systems for ML data validation and monitoring.
How Do I Know if the Role is Right For Me?
- Major in Computer Science, Statistics or related fields.
- Strong mathematical skills in probability, statistics, and machine learning.
- Strong algorithms and data structure skills.
- Fluent with at least one programming language including Python, Java, and Golang.
- Fluent in speaking and writing both Korean and English
This is a full-time internship running from January 2027 to April 2027, based in Seoul. We are looking for candidates with two or fewer semesters remaining before graduation as of the internship start date, as well as recent graduates.
Supporting Your Best Work and Your Best Life:
Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
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- Pay
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- Location & working pattern
Seoul, Korea
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