Applied Scientist - User Intelligence
About The Position
InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com Overview of the Role: 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.
Requirements
- 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
Responsibilities
- 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
Benefits
- Competitive salary and RSU grant (where applicable)
- High-quality medical, dental, and vision insurance (including company-matched HSA)
- 401(k) company match
- Generous combination of vacation time, sick days, special occasion time, and company-wide holidays
- Substantial maternity and paternity leave benefits and a compassionate work environment
- Flexible working hours to suit everyone
- Wellness stipend for a healthier you!
- Free lunch provided in our offices daily
- Pet-friendly work environment and robust pet insurance policy - because we love our animals!
- Employee Assistance Program (EAP)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
