The InMobi Story 

We like big challenges. Building a new company in 2007 was no ordinary task. As the recession hit, the iPhone was born and launched a revolution. Mobile advertising wasn’t yet a thing, other than SMS, and venture capital funding was hard to come by for four guys in India.  

Yet with passion, foresight, and conviction – InMobi charted its own course, helping to transform the way consumers engage with their phones and create today’s booming app economy wherein consumers now spend 4.2 hours per day. 

After sixteen years of innovation, our end-to-end advertising software platform, connected content, and commerce experiences have formed a powerful engine for growth that activates audiences, drives real connections, and diversifies revenue for companies around the world.

Our global organization of InMobians are excited to continue discovering and developing impactful technologies that will continue to transform people, businesses, and society across different advertising ecosystems.

Overview
There are 8 billion interactions a day by people with our recommendations. That’s 5 million a minute! We see the success of our models and experiments astonishingly quickly – our learning loop is not measured in weeks or days. It is hours and minutes. We live in what might be the fastest model-learning playgrounds in the world. We have built an infrastructure that enables model deployment at scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models. If models fire, the bottom-line impact to our teams is immediate – you see the value of your work incredibly fast.

The role is located onsite in San Mateo, CA and is not open to remote locations. 

The impact you will make

• You will be responsible for leading one or more data science efforts for one of the biggest performance DSPs in the world. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post deployment management.
• This will also include designing, development, testing of product experiments. You will need to guide junior members of the team in practical experiments, product design, model development and model evaluation. It is vital to be agile and iterate fast across experiment to deliver go-to-market ready products.
• You are expected to be a hands-on part of the role where you will also actively analyse data, design and develop models, and problem-solve solutions with the rest of the team.
• Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams.
• Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi’s work.
• You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact.
• You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management and creative development.
• You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching and reviewing performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed.
• Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours.
• We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences – there are many opportunities for you to shine.
  
  

The experience we need

• At a Staff level and above, our scientists are expected to come in with deep expertise and experience in Ad Tech, AI/ML, and Data Science, particularly at scale. Familiarity with big data processing and cloud computing will be critical to succeed in this environment.
• In addition to possessing a mathematical aptitude, they need to be competent with data science languages and tools, such as Python or Apache Spark which will enable them to design scalable solutions for our advertising products, implement proof-of-concept, and evaluate them offline and online. They will also need to work with other engineers to take these solutions to live production and drive real business value.
• Most importantly, we look for a passion to investigate and learn about the world from data, to ask interesting and provocative questions, and be driven to put real models into production that drive real business value.
• We are open to diverse academic backgrounds, providing an intent to think and problem-solve like a data scientist. Our team includes engineers, mathematicians, computer scientists, physicists, economists and social scientists – a rock-star data scientist can come from any academic field.

Requirements:

• Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor’s with additional experience. PhD a plus.
• 10+ years of ad tech related industry experience working in Data Science teams. You would have applied algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets.
• Comfortable with software programming and statistical platforms such as R, Python etc.
• Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus.
• Comfortable collaborating with cross-functional teams.
• Familiarity with challenges of the identity-less world, particularly for iOS and Android
• Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.
• Possess a high degree of curiosity and ability to rapidly learn new subjects and

About Us 

InMobiis the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi is a trusted and transparent technology partner for marketers, content creators and businesses of all kinds.  

Incorporated in Singapore, InMobi maintains a large presence in San Mateo, CA and Bangalore and has operations in New York, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London and Dubai. To learn more, visit inmobi.com.    

Our Purpose  
InMobi creates transformative mobile experiences and software platforms to positively impact people, businesses, and societies around the world.   

 
We believe that our innovations at the intersection of artificial intelligence, commerce, and the creator economy will revolutionize the way consumers use their mobile devices. Our mission is to power our customers’ growth with innovative content and commerce experiences that help them activate their audiences and drive real connections. How do we do it?  

• An End-to-End Content, Monetization, & Marketing Platform the fuels industry growth  
• AI-Powered Audience Activation for the open content, media and marketing ecosystem  
• New Content and Commerce experiences for a world of connected devices 

The base salary (fixed) pay range for this role would range from $210,788 USD to $301,126 USD (min to max of base salary pay range). This salary range is in applicable for our offices located in California and New York*. 

*Our ranges may vary basis final location / region / or fully remote roles in accordance to 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 aids us to treat our employer company as our own and base our decisions on such a 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 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 provided in our offices daily   
• Pet friendly work environment and robust pet insurance policy - because we love our animals! 
• LinkedIn Learning on demand for personal and professional development
• Employee Assistance Program (EAP)   

InMobi is an equal opportunity employer     

InMobi is a place where everyone can grow. However 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. 

InMobi has implemented a mandatory COVID vaccination policy for all employees in the U.S. Employees who are unable to be vaccinated may request an exemption under certain circumstances. 

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