Applied Scientist, InMobi
User Intelligence
$182.3-218.5k
+ Restricted Stock Units for eligible roles
5 days a week in office (San Mateo, CA)
Data-driven mobile marketing platform
Open for applications
Data-driven mobile marketing platform
1001+ employees
Open for applications
$182.3-218.5k
+ Restricted Stock Units for eligible roles
5 days a week in office (San Mateo, CA)
1001+ employees
Company mission
To drive real connections between brands and consumers through its data-driven mobile advertisement platform.
Role
Who you are
- PhD in machine learning, data science, or a related field preferred; Master's degree also considered, particularly with a strong industry track record
- Candidates nearing graduation are also welcome to apply
- Demonstrated expertise in machine learning/deep learning, whether through peer-reviewed publications (e.g., NeurIPS, KDD, RecSys) or through industry experience building and shipping models that performed well at scale
- Fluency in the PyTorch or JAX ecosystem, with the ability to implement complex operations in vectorized form
- Expertise in deep recommender systems, including two-tower and attention-based architectures
- Comfort with large-scale distributed data systems and the ability to build production data pipelines for training and inference
- Understanding of the ads ecosystem (OpenRTB, SSPs, DSPs, ad exchanges, MMPs) is a plus
What the job involves
- We are looking for an Applied Scientist to develop and improve our user personalization intelligence through architectural and data research aimed at optimizing the efficacy of our targeting and pricing systems
- More specifically, our team is exploring state-of-the-art attention-based architectures powered by multi-modal data, operating at InMobi's scale of trillions of events per day
- You'll join a team of experienced researchers and practitioners who have been conducting research in this space for over a decade, working closely with engineering and product counterparts to ensure research consistently translates into production and real business outcomes
- InMobi maintains deep investment in the compute and infrastructure this kind of work demands — including GPU compute, training, and inference platforms. This is a rare opportunity to shape how personalization and targeting operate at truly planetary scale
- Build a pipeline of evidence-backed hypotheses and evaluate them through to a clear accept/reject decision, taking the winners to production
- Drive architectural research into attention and post-attention architectures while meeting the millisecond-level latency demanded by real-time advertising
- Advance our evaluation methodology across offline and online settings, ensuring model improvements translate into real business impact
- Leverage the breadth of data features across our product portfolio to improve our models and help guide product teams toward sourcing high-value data
- Contribute regularly to our internal model implementations, training pipelines, and documentation to help the team operate efficiently and share knowledge effectively
- Guide our infrastructure teams on medium- and long-term needs to increase our experimentation velocity
- Maintain an active research profile through external engagement — publishing, giving talks, and participating in top conferences
Our take
Mobile advertising is an incredibly important element of marketing campaigns for modern businesses, but success is limited to the quality of engagements that campaigns have with audiences. Engagement can be optimised by targeting ads to relevant audiences through cookies and other data sets, but without the right analytic tools to lead to actionable insights, this data remains useless.
InMobi provides a data-driven mobile marketing platform, offering a toolkit called InMobi Pulse that provides insights into mobile marketing based on consumer feedback, product testing, and other proprietary data. The company also provides InMobi Exchange, a platform for reaching mobile-first audiences and an enterprise-grade platform for purchasing DSP services.
Whilst it is undeniable that InMobi faces competition from other mobile-focused marketing platforms, the company stands out with the sheer range of tools it offers and its focus on markets such as India and Southeast Asia, which are difficult for North American and European firms to enter. InMobi has plans to further expand globally, however, and is bringing its Glance lock screen advertising product to the US and Latin America in the near future.
Freddie
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jul 2025
$3.7m
LATE VC
Dec 2014
$5m
SERIES C
Total funding: $224.3m
Company HQ
Central Water Catchment, Singapore
Leadership
Abhay Singhal
(Co-Founder & CEO (InMobi Advertising))Since co-founding InMobi in 2006, they have held a number of roles at the company, including Head of Global Ad Sales, MD, CRO, and now CEO. Previously co-founded TeN where they served as the Head of Sales for over 4 years.
Piyush Shah
(Co-Founder & COO (Glance))Experience as co-founder and Head of Business Development for LearningSpiral.com Pvt Ltd. Previously also a Product Manager of Consumer Payments and Assistant Vice President of Private Banking for Deutsche Bank.
Naveen Tewari
(Co-Founder & CEO (InMobi & Glance))Founder and CEO of Glance. Previously spent 3 years as an Associate at McKinsey & Company.
Mohit Saxena
(Co-Founder & CTO (InMobi))Senior Columnist for The Indian Economist since 2015. Previously founded Rizort.
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