InMobi Advertising · 16 hours ago
Applied Scientist III
San Mateo, CA
Full-time
Onsite
Senior Level
$148K/yr - $217K/yr
5+ years expInMobi is a global technology leader in advertising, helping marketers achieve impactful results through its innovative platform. They are seeking an Applied Scientist III to work on complex algorithmic challenges, leveraging advanced machine learning and AI techniques to optimize their advertising marketplace.
AdvertisingAdvertising PlatformsArtificial Intelligence (AI)Digital MediaMarketing
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, 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
Qualification
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
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
Preferred
Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required
Benefits
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 - because we love our animals!
Employee Assistance Program (EAP)
Company
InMobi Advertising
InMobi Advertising builds transformative technologies to positively impact people, businesses, and societies around the world.
501-1000 employees
H1B Sponsorship
InMobi Advertising has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (5)
2024 (8)
2023 (2)
2022 (8)
2021 (7)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$774.28MKey Investors
Mars Growth CapitalLightboxSoftBank Group
2025-12-04Debt Financing· $350M
2025-07-05Undisclosed· $3.73M
2024-09-11Debt Financing· $99.95M
Leadership Team
Richard O'Sullivan
VP, Global Revenue & Strategy - InMobi Group (InMobi & Glance)
Amit Singh Chauhan
Chief Legal Officer
Recent News
Hindu Business Line
2026-01-05
2025-12-31
2025-12-29
Company data provided by crunchbase