Machine Learning Engineer (머신러닝 엔지니어-전문연구요원)

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!해당 포지션에 전문연구요원에 관심 있는 인재 분들을 위한 상시오픈 포지션입니다. 이력서를 등록해 주시면 몰로코 인재풀에 자동 등록되며, 새로운 채용 기회가 발생 시에 풀에 계신 분들이 최우선적으로 검토될 것입니다.Expression of Interest: We are always interested in hearing from talented professionals thinking about their next move or looking for a new opportunity to join our expanding talent pool.

Interested? Start your journey with Moloco by submitting your resume for future consideration. If this position becomes available, we will contact you first.

About The Role

We seek exceptional machine learning engineers 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 (https://www.linkedin.com/company/moloco/people/). Check out our case study published by Google: https://cloud.google.com/customers/moloco/

What You Will Do

• Design state-of-the-art machine learning models using Tensorflow for real-world, large-scale problems.
• Construct and maintain data pipelines for model training and serving using Google Cloud products such as Apache Beam/Dataflow, BigQuery, and Big
• Table.
• Develop highly scalable model servers on cloud platforms.
• Work with product, account, and infrastructure engineering teams to define future product roadmaps.
• Basic Qualification
• MS or Ph.D. degree in Computer Science or related technical field
• Software development experiences in Machine Learning, Deep Learning related areas
• Fluent with one or more programming languages including Python, Java, and Golang.
• Knowledgeable with production-level machine learning applications including natural language processing, computer vision, recommendation systems, and ranking systems.
• Experience in building a highly scalable model or online service system.
• 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: Moloco Company Blog Moloco Leadership
• Moloco Newsroom 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.