Applied Scientist III

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. Trusted by 30,000+

brands and leading publishers, InMobi is where intelligence, creativity, and

accountability converge. By combining lock screens, apps, TVs, and the open web

with AI and machine learning, we deliver receptive attention, precise

personalization, and measurable impact.

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. 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. Backed by investors including SoftBank, Kleiner Perkins,

and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London,

Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.

At InMobi Advertising, you’ll have the opportunity to shape how billions of

users connect with content, commerce, and brands worldwide. To learn more, visit

www.inmobi.com [http://www.inmobi.com/]

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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. 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, our team optimizes the company’s core

business functions and creates the strategic moat that sets us apart in the

market. You will not just “use models”—you will formulate them, evaluate their

assumptions, tailor them to our problem domain, and bring them to life in

production. Many of our 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.

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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. You’ll

work in an environment where models are continuously tested, evaluated, and

refined — with rapid learning loops measured in hours, not weeks. Collaborating

with a team that values algorithmic depth and scientific rigor, you’ll have the

opportunity to prototype, publish, and deploy work that drives measurable

business 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.

* 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.

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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 (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.

* Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but

not required.

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What we build…

At InMobi, we’re building products that are redefining industries. Our ecosystem

spans:

* InMobi Advertising – Powering data-driven mobile marketing for the world’s

leading brands

* Glance – A revolutionary Gen AI-powered lockscreen & TV content platform

transforming how millions discover and engage with content.

* 1Weather – One of the world’s leading weather platforms, delivering precise,

reliable, and real-time weather forecasts

With deep expertise in AI, mobile, consumer technology, and digital innovation,

we are home to some of the brightest minds in the industry.

What sets us apart?

Not just what we build. How we build it. At InMobi, we balance our hunger for

cutting-edge tech with a deep focus on our people - their growth, well-being,

and potential.

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At InMobi, you’ll be surrounded by people who…

* Think big and act fast: We’re entrepreneurial, thrive in ambiguity, and love

solving high-impact problems

* Are passionate, fanatically driven, and take immense pride in their work: We

care deeply about the impact we create and continuously push our potential

* Own their outcomes: We take responsibility, make bold decisions, and execute

with confidence

* Embrace freedom with accountability: We value autonomy and understand that

trust comes with responsibility

* Believe in lifelong learning: We welcome feedback, challenge ourselves to

grow, and aren’t afraid to take smart risks

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Award-winning culture, best-in-class benefits

Our compensation philosophy enables us to provide a competitive salary that

drives high performance while balancing business needs and pay parity. We

determine compensation based on a wide variety of factors, including role,

nature of experience, skills, and location.

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*.

*Our ranges may vary based on the final location or region of the roles in

accordance with the geographical differentiation in pay scales in the country.

In addition to cash compensation, based on the position, an InMobian can receive

equity in the form of Restricted Stock Units. We believe that our

employees/personnel should have the ability to own a part of the entity they are

a part of. Therefore, the entity employing you may elect to provide such stocks

to you. 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. To encourage a

spirit of shared ownership, we grant InMobians relevant company stock(s). As you

contribute to the growth of your company, certain stocks may be issued to you in

recognition of your contribution.

A quick snapshot of our U.S. benefits:

* Competitive salary and RSU grant (where applicable)

* 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)

If this sounds like the kind of team, role, values, benefits, and challenges

that excite you, we’d love to hear from you. Go for it!

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InMobi is an equal opportunity employer

InMobi is a place where everyone can grow. Howsoever you identify, and whatever

background you bring with you, we invite you to apply if this sounds like a role

that would make you excited to work.

InMobi provides equal employment opportunities to all employees and applicants

for employment and prohibits discrimination and harassment of any type. All

qualified applicants will receive consideration for employment 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 federal, state, or local laws. This policy

applies to all terms and conditions of employment, including recruiting, hiring,

placement, promotion, termination, layoff, recall, transfer, leaves of absence,

compensation, and training.

The InMobi Culture

At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian,

reflecting our diverse backgrounds and experiences.

We thrive on challenges and seize every opportunity for growth. Our core values

— thinking big, being passionate, showing accountability, and taking ownership

with freedom — guide us in every decision we make.

We believe in nurturing and investing in your development through continuous

learning and career progression with our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed

to providing reasonable accommodations to qualified individuals with

disabilities throughout the hiring process and in the workplace.

Visit https://www.inmobi.com/company/careers

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to better understand our benefits, values, and more!