InMobi Advertising
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.
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.
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.
Overview Of 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. The Impact You'll Make
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. 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. The Experience We Need
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 is a strong plus. 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. End-to-end ownership: you can go from idea to production and thrive in applied settings. What We Offer
Competitive salary and equity in the form of Restricted Stock Units. We believe that our employees should have the ability to own a part of the entity they are a part of. 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 compassionate work environment Flexible working hours to suit everyone Wellness stipend for a healthier you! Free lunch is provided in our offices daily Pet-friendly work environment and robust pet insurance policy LinkedIn Learning on demand for personal and professional development Employee Assistance Program (EAP) InMobi is an equal opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.
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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. The Impact You'll Make
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. 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. The Experience We Need
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 is a strong plus. 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. End-to-end ownership: you can go from idea to production and thrive in applied settings. What We Offer
Competitive salary and equity in the form of Restricted Stock Units. We believe that our employees should have the ability to own a part of the entity they are a part of. 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 compassionate work environment Flexible working hours to suit everyone Wellness stipend for a healthier you! Free lunch is provided in our offices daily Pet-friendly work environment and robust pet insurance policy LinkedIn Learning on demand for personal and professional development Employee Assistance Program (EAP) InMobi is an equal opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.
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