Applied Scientist II - Ads
Listed on 2026-02-07
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist -
Engineering
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 Dev Ops Dreamers Award , a recognition given to companies that are implementing Dev Ops 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 You Tube .
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!
About the RoleThe impact you'll be contributing to Moloco:
The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions.
Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system.
- Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.
- Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects.
- Complete task as part of larger projects to complete deep unbiased analyses.
- Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers.
- Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
- At least 4 years of engineering or applied science experience
- Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
- Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and…
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