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Machine Learning Engineer Intern (3-month Internship)
Seoul, Korea
Live, first seen by us 8 days ago- 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
Before you apply
- New graduates
- Open to new graduates
We are looking for candidates with two or fewer semesters remaining before graduation as of the internship start date, as well as recent graduates
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
About Moloco
We help our customers win by delivering durable value.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 26, 20268 days ago
- Recorded sightings
- 10
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Apr 15, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Moloco is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
- 14% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Go
- Java
- Python
- Spark
Where the posting names them
- 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?
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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