435,353open jobs
15,186companies
61,638added this week
Browse all
Location
In office (Seoul)
Seniority
Middle · 4+ years exp
Overview
Company
Impact
Profile match
Moloco is a California company founded in 2013 that builds machine learning advertising infrastructure. Its platform powers performance campaigns and retail media networks for apps and marketplaces. The company operates globally from Silicon Valley.

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

About the role

As a Software Engineer on the MCM(Moloco Commerce Media) team, you will build and evolve backend systems, experimentation capabilities, and product workflows that power Moloco Commerce Media’s retail media platform.

Your work will directly shape how retailers, advertisers, and internal teams launch, scale, measure, and improve commerce media products and monetization strategies. You will help deliver reliable, scalable, and data-informed solutions across campaign and bidding workflows, pricing and pacing logic, experimentation, and platform integrations, driving meaningful customer and business impact.

Here’s what you’ll be working on:

  • Design, implement, and operate backend services, APIs, and internal systems that support core MCM workflows across campaign delivery, bidding, auction, pricing, experimentation, and product launch operations.
  • Own features or projects end-to-end, from problem framing and requirements review through technical design, implementation, testing, launch, and post-launch iteration.
  • Partner closely with Product, Data Science, ML, Customer Engineering, and business stakeholders to translate complex retailer and advertiser needs into simple, reliable, and scalable platform capabilities.
  • Contribute to experimentation and launch infrastructure that enables teams to validate improvements, roll out new capabilities safely, and make data-driven product decisions.
  • Improve the reliability, performance, and observability of the systems you build through strong engineering practices, including testing, metrics, logging, monitoring, and incident response.
  • Contribute to integrations and platform capabilities needed to support global expansion, customer-specific requirements, and evolving commerce media product needs.
  • Contribute to raising the team’s engineering bar and support a collaborative culture of technical excellence and continuous improvement.

Basic Qualifications

  • BS/MS in Computer Science or a related technical field, or equivalent practical experience.
  • 4+ years of software engineering experience in backend or full-stack development.
  • Proficiency in at least one modern programming language such as Java, Go, C++, or Python.
  • Solid understanding of data structures, algorithms, and system design, with hands-on experience building or maintaining distributed systems and web services / APIs.
  • Experience working with relational or NoSQL databases and large-scale production systems.
  • Experience owning features or components end-to-end under guidance from more senior engineers.
  • Ability to collaborate effectively in a cross-functional environment with Product, Data Science, ML, Customer Engineering, and other engineering teams.
  • Fluent verbal and written communication skills in English; ability to discuss designs, trade-offs, and timelines with global stakeholders.

Preferred Qualifications

  • Experience building backend systems for advertising, e-commerce, marketplace, retail media, or other high-scale product platforms.
  • Experience working on experimentation, feature rollout, configuration management, or decisioning systems in production environments.
  • Experience with bidding, pricing, recommendation, attribution, or other optimization-related product areas.
  • Familiarity with cloud platforms and data technologies such as GCP, BigQuery, Bigtable, Kafka, Beam/Spark, or similar tools used in large-scale data and product systems.
  • Experience integrating product requirements, customer feedback, and operational constraints into scalable engineering solutions.
  • Interest in or demonstrated ability to improve reliability, observability, testing, and overall engineering quality in production environments.
  • Experience supporting customer-facing or business-critical systems where launch quality, operational excellence, and iteration speed matter.
  • Prior experience in global or multi-region environments where product requirements, regulations, or market needs differ across customers and regions is a plus.

Moloco Thrive: Benefits and Well-Being: 

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values: 

  • Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. 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 rigor and integrity. 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 mission and 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.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
435,353 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Seoul
In office • Full-Time • Chennai
Python
JavaScript
Java
TypeScript
C++
Node JS
Python
Flask
Django
Databases
RabbitMQ
Frontend
Vue.js
Angular
Bootstrap
React.js
DevOps
GitHub Actions
CI/CD
GitOps
Jenkins
Docker
Kubernetes
GitHub
Apply
$19k – $48k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Bengaluru
JavaScript
Java
TypeScript
SQL
Java
Spring Framework
Spring Boot
Apache Tomcat
Databases
Oracle
Apache Kafka
Frontend
Angular
React.js
DevOps
AWS
GitHub
Cybersecurity
Veracode
Apply
$23k – $61k per year (Estimated) • In office • Full-Time • 4+ years exp • Chennai
Python
Bash
Databases
Snowflake
Databricks
DynamoDB
Apache Kafka
AI/ML
LangChain
LlamaIndex
Model Context Protocol
MLFlow
dbt
Embeddings
Prompt Engineering
AI Agents
AWS Bedrock
LLM
RAG
Hugging Face
Amazon SageMaker
LLMOps
AWS Strands Agents
LLM Guardrails
DevOps
Rest API
Terraform
Ansible
Helm
GitHub Actions
CloudFormation
Datadog
GitLab CI
CI/CD
GitOps
ArgoCD
Jenkins
Git
AWS
Docker
Kubernetes
Grafana
Platform Engineering
Self-Healing
Bitbucket
Amazon EKS
AWS Lambda
Amazon EC2
Vector
GitHub
GitLab
Amazon S3
IAM
Amazon ECS
Amazon CloudWatch
Amazon EventBridge
Cybersecurity
Least Privilege
Apply
$75k – $172k per year (Estimated) • In office • Full-Time • PhD • Cambridge
Python
Apply
$103k – $174k per year • Remote • Full-Time • Munich
Python
Perl
Apply
$148k – $180k per year • Equity • In office • 3+ years exp • Bachelor's Degree • Menlo Park
Python
SQL
Analytics
A/B Testing
Apply
$55k – $115k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Seoul
Apply
Senior Director, IT 7 days ago
$276k – $345k per year • Equity • Remote/Hybrid • 12+ years exp • Bachelor's Degree • Menlo Park
AI/ML
Prompt Engineering
AI Agents
RAG
Cybersecurity
Okta
ISO 27001
SOC 2
GDPR
Zero Trust
Management
Slack
Google Workspace
Apply
$180k – $225k per year • Equity • In office • 7+ years exp • Menlo Park
AI/ML
LLM Evaluation
Apply
$300k – $400k per year • Equity • In office • 12+ years exp • Menlo Park
Marketing
YouTube
Apply
Equity • Remote/Hybrid • Internship • Bachelor's Degree • Seoul
Apply
Equity • In office • Seoul
Apply
Financial Analyst 1 day ago
$29k – $65k per year (Estimated) • In office • Full-Time • 7+ years exp • Bachelor's Degree • Seoul
Analytics
Microsoft Excel
Apply
$32k – $83k per year (Estimated) • Remote/Hybrid • 4+ years exp • Seoul
Marketing
Instagram
Apply
$27k – $61k per year (Estimated) • In office • Full-Time • 3+ years exp • Seoul
Apply
See all jobs
This is one of many
435,353 more open roles from verified company boards, updated every day.