Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailNot Disclosed
Salary Not Disclosed
1 Vacancy
About Us
InMobi is theleading provider of content monetization andmarketingtechnologiesthat fuel growthfor industries around the world. Ourend-to-end advertising software platform connected contentandcommerce experiences activate audiences driverealconnections and diversify revenue for businesses everywhere.
InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand engage and acquire consumers effectively through data-driven media solutions. Learn more at .
Glance is a consumer technology company that operates disruptive digital platforms including Glance Roposo and Nostra. Glances smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at .
Born in India InMobimaintains a large presence in Bangalore and San Mateo CA and has operations in New YorkSingapore Delhi Mumbai BeijingShanghai Jakarta Manila Kuala Lumpur Sydney MelbourneSeoul Tokyo London and Dubai. To learn more visit .
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 our team optimizes the companys core business functions and creates the strategic moat that sets us apart in the will not just use modelsyou 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.
The impact youll 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 tens of trillions of 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 not weeks. Collaborating with a team that values algorithmic depth and scientific rigor youll 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 modelingin 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 Masters degree in Computer Science Statistics Mathematics Operations Research Physics or a 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 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 pluseven 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 researchers 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.
What we build
At InMobi were building products that are redefining industries. Our ecosystem spans:
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.
At InMobi youll be surrounded by people who
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 $148200 USD to $216600 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 companys 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:
If this sounds like the kind of team role values benefits and challenges that excite you wed love to hear from you.Go for it!
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 isnt a buzzword; its 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.
Full Time