Six Figure Work

Applied Scientist – User Intelligence

InMobi

Company websiteinmobi.com (InMobi, opens in new tab)

Base salary $182,250  to $218,500

Employer-published annual base salary, USD. Advertised base range in San Mateo, CA

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  • LocationSan Mateo, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

InMobi (Corporate)

InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.

InMobi Advertising

InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.

Glance

Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.

Overview of the Role:

We are looking for an Applied Scientist to develop and improve our user personalization intelligence through architectural and data research aimed at optimizing the efficacy of our targeting and pricing systems. More specifically, our team is exploring state-of-the-art attention-based architectures powered by multi-modal data, operating at InMobi's scale of trillions of events per day.

You'll join a team of experienced researchers and practitioners who have been conducting research in this space for over a decade, working closely with engineering and product counterparts to ensure research consistently translates into production and real business outcomes. InMobi maintains deep investment in the compute and infrastructure this kind of work demands — including GPU compute, training, and inference platforms. This is a rare opportunity to shape how personalization and targeting operate at truly planetary scale.

The Impact You'll Make:

  • Build a pipeline of evidence-backed hypotheses and evaluate them through to a clear accept/reject decision, taking the winners to production
  • Drive architectural research into attention and post-attention architectures while meeting the millisecond-level latency demanded by real-time advertising
  • Advance our evaluation methodology across offline and online settings, ensuring model improvements translate into real business impact
  • Leverage the breadth of data features across our product portfolio to improve our models and help guide product teams toward sourcing high-value data
  • Contribute regularly to our internal model implementations, training pipelines, and documentation to help the team operate efficiently and share knowledge effectively
  • Guide our infrastructure teams on medium- and long-term needs to increase our experimentation velocity
  • Maintain an active research profile through external engagement — publishing, giving talks, and participating in top conferences

The Experience We Need:

  • PhD in machine learning, data science, or a related field preferred; Master's degree also considered, particularly with a strong industry track record.
    • Candidates nearing graduation are also welcome to apply.
  • Demonstrated expertise in machine learning/deep learning, whether through peer-reviewed publications (e.g., NeurIPS, KDD, RecSys) or through industry experience building and shipping models that performed well at scale
  • Fluency in the PyTorch or JAX ecosystem, with the ability to implement complex operations in vectorized form
  • Expertise in deep recommender systems, including two-tower and attention-based architectures
  • Comfort with large-scale distributed data systems and the ability to build production data pipelines for training and inference
  • Understanding of the ads ecosystem (OpenRTB, SSPs, DSPs, ad exchanges, MMPs) is a plus

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

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 (fixed) salary for this role ranges from $182,250 to $218,500 USD (min to max of base salary pay range). This salary range applies to our offices in California and New York*.

*Our ranges may vary based on the final location and region of the role 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 Employee Stock Options (ESOPs). To encourage a spirit of shared ownership, we believe that our employees should have the ability to own a part of the organization. Furthermore, as you contribute to the growth of the company, additional stock may be issued in recognition of your contribution over time.

A quick snapshot of our benefits:

  • Competitive salary and ESOP 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 a 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! 
  • 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!

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. 

Since 2007, InMobi has built the extraordinary. Beyond just technology. It has built a way of working.

Across 16 offices globally, through every pivot and breakthrough, one thing has remained constant: we are builders, dreamers, doers. We are fluid enough to move fast, grounded enough to own outcomes, and human enough to care deeply about the work and about one another.

Culture is at the core of that ethos. It has been co-created by the people who built this company and by those continuing to shape it every day. It lives in how we work, how decisions are made, how teams show up for one another, and how seriously we take the responsibility to build the best.

This is a place where ambition and belonging occupy the same space. Where the bar is high and the support is real. Where freedom comes with trust, and trust comes with accountability. Where you are valued not only for what you do, but for the perspective, judgment and humanity you bring to the work. Where you will be challenged by the work and supported by the communities, passions and experiences that shape who you are beyond your role.

If this sounds like the place you have been looking for, join us.

Find out more here: InMobi Culture

Source: InMobi on Greenhouse · View original posting (opens in new tab)

Pay in context

This role's base floor ($182,250) is above 46% of the 1,503 Data & ML roles in California listed on this site. Their median floor is $187,000; the middle half runs from $158,941 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live InMobi roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live InMobi roles with the nearest advertised base floor
RolePublished base
Applied Scientist – User Intelligence (this listing)$182,250 - $218,500
Director - TikTok Sales, Mid-Market & SMB (North America)$185,000 - $222,500
Machine Learning Engineer – Ad Sciences$172,500 - $210,000
Senior Manager, Revenue Operations - Exchange$169K - $234K
Senior Manager, Revenue Operations - Demand$169K - $234K
Director – Business Development$168,350 - $233,100
Director – Product Marketing, DSP$206,500 - $275,000

Same $100K to $400K scale as every card. All InMobi roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-09-14
Where this pay comes from

Location as the employer wrote it: San Mateo, CA

The base (fixed) salary for this role ranges from $182,250 to $218,500 USD (min to max of base salary pay range). This salary rang

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.