Senior Applied Scientist - Moloco Commerce Media

About Moloco:

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms. 

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube.

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

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 will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.

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: 

• Moloco Commerce Media (MCM) enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data. MCM has established a strong product market with several leading marketplaces working with us to show relevant ads.
• We’ve established our MCM’s product market fit with strong interest in our product. MCM is an important product that is key to Moloco’s continued success and is in a high growth phase. The science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. As a senior applied scientist in MCM, you will have the opportunity to work on and improve various components of our ad-tech stack including ranking, search quality, retrieval, auction/bidding and budget pacing. We highly value prior experience in working in ad-tech. 

What You’ll Do:

• Conduct deep-dive analysis to influence R&D decisions and strategies: analyze large datasets, extract valuable signals out of noise, and design state of the art machine learning models to optimize Moloco’s complex bidding system.
• Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs.
• Leveraging the latest advances in deep learning to evaluate and improve our search quality.
• Build the right metrics for product areas and guide ramps with domain data expertise: improve performance monitoring of a large and complex ads ecosystem by establishing the right metric framework, and understanding cause-and-effect relationships across drivers; guiding ramp decisions through rigorous A/B testing.

Basic Qualifications:

• MS or Ph.D. degree in a quantitative discipline with exposure to advanced modeling and statistical techniques.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.
• Experience with one or more programming languages including Python, Java or C++
• Past experience with ad-tech/ranking/retrieval and/or search quality is preferred.

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. For an overview of our global benefits, click here. 

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 

Equal Opportunity: 

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we 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 gender identity, sexual orientation, marital status, ancestry, physical or mental disability, military and 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.