Applied Scientist (응용 과학자)

Seoul, Korea

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!

The Impact You’ll Be Contributing to Moloco:

Leading research projects, possibly with a small team of applied scientists, as part of a group of cross-functional collaborators to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.
Collaborate with your team to identify areas for infrastructure and machine learning component improvements by analyzing internal system changes, external changes, and data changes.
Lead your project and contribute directly to deep, unbiased analysis, always driving to the actual root causes of issues.
Participate in the design, implementation, and evaluation of new algorithms and features in collaboration with Software Engineers and Machine Learning Engineers.

The Opportunity:

The NEXT Quality (NQ) team focuses on the operation and optimization of our software systems, and ML modeling, working closely with infrastructure engineering teams and Machine learning engineers in the team. As a Senior Applied Scientist, you will lead research projects. You may lead small teams of applied scientists as part of a broader group of cross-functional collaborators working together to solve challenging problems in a complex multi-causal environment. Your work will contribute to driving performance improvements and cost reductions as you and your team debug and investigate production issues and stabilize our core system through deep end-to-end understanding.

How Do I Know if the Role is Right For Me?

Applied Scientist

Ph.D. in Computer Science, Mathematics, or a related field (new graduates welcome), or a Master’s or Bachelor’s degree with 2+ years of industry or postgraduate research experience in a quantitative or ML-related discipline.
2+ years of experience working on research-oriented projects involving machine learning, optimization, statistics, or large-scale data analysis.
Experience contributing to research or modeling projects, ideally in collaboration with data scientists, machine learning engineers, or software engineers.
Proficient verbal and written English communication skills, with the ability to present information and analysis results to collaborators and occasionally to larger groups.
Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science
Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company
Strong intellectual curiosity with a passion for exploring new ideas, identifying novel approaches, and continuously improving methodologies.
Highly self-motivated and proactive, with the ability to drive research projects forward independently while maintaining alignment with team goals.

Senior Applied Scientist

Ph.D. degree in Computer Science, Mathematics, or a related field, or industry experience in optimizing market prices or ML systems.
4+ years of work experience (industry or postgraduate) in research-related fields or an advanced degree such as a Master’s or PhD in a quantitative discipline with 2+ years of experience.
2+ years of experience leading research projects, preferably as part of groups that include data scientists, machine learning engineers, and software engineers.
Proficient verbal and written English communication skills, with the ability to present information and analysis results to collaborators and occasionally to larger groups.
Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science
Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company
Strong intellectual curiosity with a passion for exploring new ideas, identifying novel approaches, and continuously improving methodologies.
Highly self-motivated and proactive, with the ability to drive research projects forward independently while maintaining alignment with team goals.

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.

Equal Opportunity:

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

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