InMobi Advertising
Overview Of The Role
We are looking for an Applied Scientist III to join our algorithmic and research science team. Youll 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, youll optimize core business functions and create the strategic moat that sets us apart in the market. You will formulate models, evaluate their assumptions, tailor them to our problem domain, and bring them to life in production. Many challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality. 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. The Impact You'll Make In this role, youll operate at the intersection of cutting-edge research and massive-scale production, shaping algorithms that power a global advertising marketplace, making real-time decisions every day. Youll work in an environment where models are continuously tested, evaluated, and refined, with rapid learning loops measured in hours. Youll have the opportunity to prototype, publish, and deploy work that drives measurable business impact. Responsibilities
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 environments. Collaborate with product and engineering teams to deploy models in production and run real-world experiments with rapid feedback loops. Contribute to the scientific community by publishing high-quality research and staying current with advances in machine learning, algorithms, and applied statistics. Evaluate long-term dynamics of deployed algorithms, considering feedback, exploration-exploitation trade-offs, and incentives in multi-agent systems. Translate business challenges into research questions and propose high-impact methodologies. Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production. Close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior. The Experience We Need
Ph.D. (preferred) or Masters degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline. 5.57 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, 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 pluseven if not recent. Proficient in scientific computing with Python (NumPy, SciPy, PyTorch, TensorFlow). Experience with big data platforms like Apache Spark and distributed computing on large-scale datasets. End-to-end ownership: from idea to production, with a rigorously validated approach. Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required. What We Build
InMobi Advertising data-driven mobile marketing for leading brands Glance Gen AI-powered lockscreen and TV content platform 1Weather weather platform delivering real-time forecasts What We Offer
InMobi is committed to an equal opportunity workplace. We provide competitive compensation and benefits, including RSU equity where applicable. The base salary range for this role in the U.S. is $148,200$216,600, with variations by location. Equity, health benefits, 401(k) matching, generous PTO, parental leave, flexible hours, wellness stipend, daily lunch (office-based), pet-friendly work environment, and professional development opportunities are available where applicable. Equal Opportunity InMobi is an equal opportunity employer. We prohibit discrimination and harassment of any type and all qualified applicants will receive consideration without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Additional Information
InMobi culture emphasizes thinking big, accountability, ownership with freedom, and lifelong learning. We encourage applicants to visit our careers page for more information. Seniority level: Not Applicable. Employment type: Full-time. Job function: Research, Analyst, and Information Technology. Industries: IT Services and IT Consulting; Advertising Services. #J-18808-Ljbffr
We are looking for an Applied Scientist III to join our algorithmic and research science team. Youll 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, youll optimize core business functions and create the strategic moat that sets us apart in the market. You will formulate models, evaluate their assumptions, tailor them to our problem domain, and bring them to life in production. Many challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality. 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. The Impact You'll Make In this role, youll operate at the intersection of cutting-edge research and massive-scale production, shaping algorithms that power a global advertising marketplace, making real-time decisions every day. Youll work in an environment where models are continuously tested, evaluated, and refined, with rapid learning loops measured in hours. Youll have the opportunity to prototype, publish, and deploy work that drives measurable business impact. Responsibilities
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 environments. Collaborate with product and engineering teams to deploy models in production and run real-world experiments with rapid feedback loops. Contribute to the scientific community by publishing high-quality research and staying current with advances in machine learning, algorithms, and applied statistics. Evaluate long-term dynamics of deployed algorithms, considering feedback, exploration-exploitation trade-offs, and incentives in multi-agent systems. Translate business challenges into research questions and propose high-impact methodologies. Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production. Close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior. The Experience We Need
Ph.D. (preferred) or Masters degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline. 5.57 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, 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 pluseven if not recent. Proficient in scientific computing with Python (NumPy, SciPy, PyTorch, TensorFlow). Experience with big data platforms like Apache Spark and distributed computing on large-scale datasets. End-to-end ownership: from idea to production, with a rigorously validated approach. Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required. What We Build
InMobi Advertising data-driven mobile marketing for leading brands Glance Gen AI-powered lockscreen and TV content platform 1Weather weather platform delivering real-time forecasts What We Offer
InMobi is committed to an equal opportunity workplace. We provide competitive compensation and benefits, including RSU equity where applicable. The base salary range for this role in the U.S. is $148,200$216,600, with variations by location. Equity, health benefits, 401(k) matching, generous PTO, parental leave, flexible hours, wellness stipend, daily lunch (office-based), pet-friendly work environment, and professional development opportunities are available where applicable. Equal Opportunity InMobi is an equal opportunity employer. We prohibit discrimination and harassment of any type and all qualified applicants will receive consideration without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Additional Information
InMobi culture emphasizes thinking big, accountability, ownership with freedom, and lifelong learning. We encourage applicants to visit our careers page for more information. Seniority level: Not Applicable. Employment type: Full-time. Job function: Research, Analyst, and Information Technology. Industries: IT Services and IT Consulting; Advertising Services. #J-18808-Ljbffr