Applied Scientist – User Intelligence

Inmobi
San Mateo
Workplace: OnsiteFull timeUSD 182,250 - 218,500 annuallyFunction: Research & Scientific (R&D)Skills: ["Problem-solving","Research translation","Ownership"]

Develop and improve user personalization intelligence by running architectural and data research to optimize targeting and pricing at InMobi’s real-time, large-scale advertising throughput. Build evidence-backed hypotheses and take winners to production, advance attention-based and post-attention models, and strengthen evaluation across offline and online settings. Contribute to training and implementation pipelines, guide infrastructure for faster experimentation, and maintain an active research profile through publications and talks.

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FursaFursa
Inmobi
Inmobi
1 day ago

Applied Scientist – User Intelligence

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Last checked: 4 hours agoStatus: Live

Job Summary

Develop and improve user personalization intelligence by running architectural and data research to optimize targeting and pricing at InMobi’s real-time, large-scale advertising throughput. Build evidence-backed hypotheses and take winners to production, advance attention-based and post-attention models, and strengthen evaluation across offline and online settings. Contribute to training and implementation pipelines, guide infrastructure for faster experimentation, and maintain an active research profile through publications and talks.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Build evidence-backed hypotheses and evaluate them through clear accept/reject decisions, taking winners to production.
  • •Conduct architectural research into attention and post-attention architectures while meeting millisecond-level real-time advertising latency.
  • •Advance offline/online evaluation methodology to ensure improvements translate to real business impact.
  • •Leverage product portfolio data features to improve models and guide product teams on sourcing high-value data.
  • •Contribute to internal model implementations, training pipelines, documentation, and collaborate with infrastructure to increase experimentation velocity.

Pay and Benefits

Salary: USD 182,250 - 218,500 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionHsa401kRsusPaid LeaveSick DaysMaternity LeavePaternity LeaveWellness StipendMeal AllowancePet InsuranceEap

Key Requirements

  • •PhD in machine learning, data science, or related field preferred (Master’s also considered).
  • •Demonstrated expertise in machine learning/deep learning via publications or industry experience shipping scaled models.
  • •Fluency in the PyTorch or JAX ecosystem, including implementing complex operations in vectorized form.
  • •Expertise in deep recommender systems, including two-tower and attention-based architectures.
  • •Comfort building production data pipelines for training and inference with large-scale distributed data systems.
Skills:Problem-solvingResearch translationOwnership
Languages:En
Tech Stack:PyTorchJAXDeep learningMulti-modalAttention-based architecturesRecommender systemsTwo-towerGPUDistributed data systemsTraining pipelinesInference platformsVectorized operationsOpenRTBSSPsDSPsAd exchangesMMPs

Company Brief

Inmobi
InMobi is a global mobile advertising and discovery platform that helps brands and app developers reach and engage audiences through programmatic advertising, monetization solutions, and data-driven targeting across mobile devices.
Industry: Advertising Media Groups
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Series E+
Headquarters: Bengaluru, India
Founded: 2007
WebsiteLinkedIn