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InMobi

Mobile ad platform with DSP/SSP

AI Engineer

Natural Language Processing & LLMsPosted on Nov 12
Full-timeSan Mateo, CA, USA

About the Job

Requirements

  • At least 2 years of experience building generative AI systems in production.
  • A solid grasp of large language model and diffusion model architectures.
  • Expertise in building agents and agent harnesses.
  • A track record of designing evaluations from scratch, including writing labeling guidelines and working with annotators.
  • Hands-on experience fine-tuning large language models or diffusion models with reinforcement learning techniques such as PPO or GRPO, or preference optimization methods such as DPO.
  • Experience building knowledge retrieval systems, including approximate nearest neighbor-based and knowledge-graph-based retrieval.
  • Experience with no-train optimization techniques and frameworks such as DSPy.
  • Expertise in Python.
  • A bachelor's or master's degree in Computer Science, Machine Learning, or a related field, or equivalent practical experience.

Responsibilities

  • Build a system that turns brand guidelines into ad creatives and improves them using live campaign performance.
  • Build an agent that accelerates machine learning research for Applied Scientists.
  • Turn real-world signals, such as creative performance and developer feedback, into training data so systems improve after launch.
  • Own projects from framing the problem and defining success through shipping and iterating in production.
  • Define success measures for systems without obvious metrics, and build evaluations and annotation processes to measure them.
  • Build on and contribute to open-source tools, including LLaMA-Factory, verl, opencode, and OpenResearch.
  • Partner with Applied Scientists, Product, and Engineering to turn promising prototypes into production systems.

Desired Qualifications

  • Understanding of the advertising ecosystem, including OpenRTB, supply-side platforms, demand-side platforms, ad exchanges, and mobile measurement partners.
  • Contributions to open-source generative AI projects such as LLaMA-Factory, verl, opencode, or OpenResearch.
  • Public work in large language models, diffusion models, reinforcement learning, or agents, such as publications, write-ups, or talks.
  • Experience with large-scale GPU training and serving, including distributed training and inference optimization.
  • Experience building coding agents or developer tools that write, review, or ship code.

About the Company

InMobi

Mobile ad platform with DSP/SSP

InMobi operates a global mobile advertising platform that helps advertisers buy and publishers monetize in-app ad space using programmatic technology. The platform combines a demand-side platform (DSP) for buying and a supply-side platform (SSP) for selling, enabling real-time automated ad placements and better targeting. It adds analytics and optimization tools to improve ad performance and reduce fraud, and earns revenue by taking a percentage of transactions on the platform; it also runs InMobi U to educate marketers and publishers about in-app programmatic advertising. Its goal is to help clients reach the right audiences, optimize ad spend, and maximize app monetization, distinguishing itself with an integrated suite for both buyers and sellers in the in-app ecosystem.

Company size
51-200
Company stage
Private
Total funding
$774.3M
Headquarters
Kadubeesanahalli, India
Founded
2007

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