InMobi

Applied Scientist III

San Mateo, CA · Mid

Sponsorship not specifiedDetected 7 days ago

PythonAlgorithmsMachine LearningDeep LearningPyTorchNumPySparkLLMsStatisticsForecastingResearch

About the role

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.

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.
Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace.
We believe that our employees/personnel should have the ability to own a part of the entity they are a part of.

Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required.

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.
Causal inference, decision theory, game theory
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.

Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity.
The base salary (fixed) pay range for this role would range from $148,200 USD to $216,600 USD (min to max of base salary pay range).
This salary range is applicable for our offices located in California and New York *.

Award-winning culture, best-in-class benefits
In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units.
Ownership of stock enables us to treat our employer company as our own and base our decisions on the company's best interest at heart.
By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.
Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling-in non-stationary, adversarial environments.

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.
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.
Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping.

This listing is sourced directly from InMobi's careers page and normalized into a canonical job model.