InMobi
Overview
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 delivers resultados with privacy-first principles. We are trusted by 30,000+ brands and leading publishers, and we combine lock screens, apps, TVs, and the open web with AI and machine learning to deliver receptive attention and measurable impact. Through
Glance AI , we shape AI Commerce and reimagine the future of e-commerce with inspiration-led discovery and shopping. We leverage rich first-party data and InMobi’s global scale to create personalized shopping journeys for brands worldwide. InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond. We are recognized as a Great Place to Work and by MIT Technology Review and Fast Company for innovation. 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. You’ll tackle challenges across traffic shaping, fraud detection, ad quality, pricing strategies, and auction theory, using both deep learning and classical machine learning techniques. As the heart of the InMobi Exchange, you’ll formulate models, evaluate assumptions, tailor them to production needs, and bring them to life. Many challenges have no off-the-shelf solutions; you’ll bridge research and production with scientific creativity. If you thrive on solving high-impact problems that shape a global advertising marketplace, this is the place for you. The impact you’ll make
Operate at the intersection of cutting-edge research and massive-scale production, powering a global marketplace with real-time decisions. Your work will be prototyped, published when appropriate, and deployed to drive measurable business impact. Formulate, analyze, and implement algorithms powering real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation at scale. 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 models in production and run real-world experiments with rapid feedback. Contribute to the scientific community by publishing high-quality research and staying current with advances in ML and statistics. Evaluate long-term dynamics of deployed algorithms, considering feedback, exploration-exploitation, and multi-agent incentives. Translate business challenges into research questions and propose high-impact methodologies. Turn mathematical ideas into practical, high-performance production algorithms. Close the loop between model predictions and real-world outcomes, refining based on system behavior. The experience we need
Education : Ph.D. (preferred) or Master’s in Computer Science, Statistics, Mathematics, Operations Research, Physics, or related quantitative field. Experience : 5.5–7 years in algorithmic or applied research, with some production deployment experience. Core capabilities
(one or more): Statistical learning theory, optimization, probability, information theory Causal inference, decision theory, game theory Online learning, bandits, reinforcement learning, Bayesian methods Strong publication record is a plus (e.g., NeurIPS, ICML, KDD, etc.) Proficient in Python with NumPy, SciPy, PyTorch, or TensorFlow Experience with big data platforms such as Apache Spark and distributed computing Researcher mindset: questions first, validation rigorous End-to-end ownership: from idea to production in applied settings Ad tech, marketplaces, or dynamic pricing experience is helpful but not required What we build
We build products across: InMobi Advertising – data-driven mobile marketing for leading brands Glance – Gen AI-powered lockscreen and TV content platform 1Weather – real-time weather forecasts We combine AI, mobility, and digital innovation and value the growth and well-being of our people. Our values and culture
We think big, act fast, and own outcomes. We value lifelong learning and autonomy with accountability. Equal opportunity InMobi is an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of protected characteristics. We are committed to reasonable accommodations in the hiring process and in the workplace. Compensation and benefits (US)
The base salary range for this role is
$148,200
to
$216,600
USD, depending on location. Eligible employees may receive equity in RSUs where applicable. Our benefits in the U.S. include: Competitive salary and RSU grants (where applicable) Medical, dental, and vision insurance (company-matched HSA) 401(k) retirement plan with company match Generous PTO and flexible work arrangements Maternity/paternity leave and compassionate leave Wellness stipend and on-site or provided meals where available Pet-friendly offices and robust pet insurance LinkedIn Learning access and Employee Assistance Program (EAP) If this sounds like a team, role, and culture you’d like to join, we’d love to hear from you. InMobi is an equal opportunity employer.
#J-18808-Ljbffr
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 delivers resultados with privacy-first principles. We are trusted by 30,000+ brands and leading publishers, and we combine lock screens, apps, TVs, and the open web with AI and machine learning to deliver receptive attention and measurable impact. Through
Glance AI , we shape AI Commerce and reimagine the future of e-commerce with inspiration-led discovery and shopping. We leverage rich first-party data and InMobi’s global scale to create personalized shopping journeys for brands worldwide. InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond. We are recognized as a Great Place to Work and by MIT Technology Review and Fast Company for innovation. 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. You’ll tackle challenges across traffic shaping, fraud detection, ad quality, pricing strategies, and auction theory, using both deep learning and classical machine learning techniques. As the heart of the InMobi Exchange, you’ll formulate models, evaluate assumptions, tailor them to production needs, and bring them to life. Many challenges have no off-the-shelf solutions; you’ll bridge research and production with scientific creativity. If you thrive on solving high-impact problems that shape a global advertising marketplace, this is the place for you. The impact you’ll make
Operate at the intersection of cutting-edge research and massive-scale production, powering a global marketplace with real-time decisions. Your work will be prototyped, published when appropriate, and deployed to drive measurable business impact. Formulate, analyze, and implement algorithms powering real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation at scale. 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 models in production and run real-world experiments with rapid feedback. Contribute to the scientific community by publishing high-quality research and staying current with advances in ML and statistics. Evaluate long-term dynamics of deployed algorithms, considering feedback, exploration-exploitation, and multi-agent incentives. Translate business challenges into research questions and propose high-impact methodologies. Turn mathematical ideas into practical, high-performance production algorithms. Close the loop between model predictions and real-world outcomes, refining based on system behavior. The experience we need
Education : Ph.D. (preferred) or Master’s in Computer Science, Statistics, Mathematics, Operations Research, Physics, or related quantitative field. Experience : 5.5–7 years in algorithmic or applied research, with some production deployment experience. Core capabilities
(one or more): Statistical learning theory, optimization, probability, information theory Causal inference, decision theory, game theory Online learning, bandits, reinforcement learning, Bayesian methods Strong publication record is a plus (e.g., NeurIPS, ICML, KDD, etc.) Proficient in Python with NumPy, SciPy, PyTorch, or TensorFlow Experience with big data platforms such as Apache Spark and distributed computing Researcher mindset: questions first, validation rigorous End-to-end ownership: from idea to production in applied settings Ad tech, marketplaces, or dynamic pricing experience is helpful but not required What we build
We build products across: InMobi Advertising – data-driven mobile marketing for leading brands Glance – Gen AI-powered lockscreen and TV content platform 1Weather – real-time weather forecasts We combine AI, mobility, and digital innovation and value the growth and well-being of our people. Our values and culture
We think big, act fast, and own outcomes. We value lifelong learning and autonomy with accountability. Equal opportunity InMobi is an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of protected characteristics. We are committed to reasonable accommodations in the hiring process and in the workplace. Compensation and benefits (US)
The base salary range for this role is
$148,200
to
$216,600
USD, depending on location. Eligible employees may receive equity in RSUs where applicable. Our benefits in the U.S. include: Competitive salary and RSU grants (where applicable) Medical, dental, and vision insurance (company-matched HSA) 401(k) retirement plan with company match Generous PTO and flexible work arrangements Maternity/paternity leave and compassionate leave Wellness stipend and on-site or provided meals where available Pet-friendly offices and robust pet insurance LinkedIn Learning access and Employee Assistance Program (EAP) If this sounds like a team, role, and culture you’d like to join, we’d love to hear from you. InMobi is an equal opportunity employer.
#J-18808-Ljbffr