Applied Scientist, InMobi
$148.2-216.6k
2+ days a week in office (San Mateo, CA)
Data-driven mobile marketing platform
Be an early applicant
Data-driven mobile marketing platform
1001+ employees
Be an early applicant
$148.2-216.6k
2+ 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
- If you thrive on solving complex, high-impact problems and want to see your ideas shape the future of a global exchange, this is the place where your work will truly make a difference
- Ph.D. (preferred) or Master’s degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or a related quantitative discipline
- 5.5–7 years of experience working on algorithmic or applied research problems, ideally with some production deployment experience
- Deep grounding in one or more of:
- Statistical learning theory, optimization, probability theory, and information theory
- Causal inference, decision theory, game theory
- Online learning, bandits, RL, Bayesian methods
- Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus—even if not recent
- Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow
- Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets
- A researcher’s mindset: questions first, implementation later. You are thoughtful about assumptions and rigorous about validation
- End-to-end ownership: you can go from idea to production and thrive in applied settings
- Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required
What the job involves
- We are looking for an Applied Scientist III to join our algorithmic and research science team
- You’ll work on mathematically rigorous, research-driven problems at production scale
- This role sits at the intersection of theory and application, designing algorithms that combine elegant modeling with measurable business impact
- Specifically, our scientists tackle challenges across traffic shaping, fraud detection, ad quality, pricing strategies, and auction theory, along with their practical applications
- We leverage the latest deep learning models alongside classical machine learning techniques to build innovative solutions
- As the heart of the InMobi Exchange, our team optimizes the company’s core business functions and creates the strategic moat that sets us apart in the market
- You will not just “use models”—you will formulate them, evaluate their assumptions, tailor them to our problem domain, and bring them to life in production
- Many of our challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality
- In this role, you’ll operate at the intersection of cutting-edge research and massive-scale production, shaping algorithms that power a global advertising marketplace, making tens of trillions of real-time decisions every day
- You’ll work in an environment where models are continuously tested, evaluated, and refined — with rapid learning loops measured in hours, not weeks
- Collaborating with a team that values algorithmic depth and scientific rigor, you’ll have the opportunity to prototype, publish, and deploy work that drives measurable business impact
- Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace
- Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling—in non-stationary, adversarial environments
- Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops (measured in hours, not weeks)
- Contribute to the scientific community by publishing high-quality research, conducting internal seminars, and staying abreast of advances in machine learning, algorithms, and applied statistics
- Evaluate the long-term dynamics of deployed algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within multi-agent systems
- Identify new areas for innovation by translating business challenges into research questions and proposing novel, high-impact methodologies
- Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production environments
- Explore and close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior
- At InMobi, we’re building products that are redefining industries. Our ecosystem spans:
- InMobi Advertising – Powering data-driven mobile marketing for the world’s leading brands
- Glance – A revolutionary Gen AI-powered lockscreen & TV content platform transforming how millions discover and engage with content
- 1Weather – One of the world’s leading weather platforms, delivering precise, reliable, and real-time weather forecasts
- With deep expertise in AI, mobile, consumer technology, and digital innovation, we are home to some of the brightest minds in the industry
- What sets us apart?
- Not just what we build. How we build it. At InMobi, we balance our hunger for cutting-edge tech with a deep focus on our people - their growth, well-being, and potential
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 on 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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