Machine Learning Engineer – Ad Sciences

Inmobi
San Mateo
Workplace: OnsiteFull timeUSD 172,500 - 210,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: mastersSkills: ["Thinks big","Acts fast","Owns outcomes","Autonomy with accountability","Lifelong learning","Solves high-impact problems","Takes pride in work"]

Develop and optimize ad science models and the infrastructure behind them, including open-source LLM post-training. Build training pipelines, improve experimentation velocity, and optimize online and batch inference for low latency and cost. Create monitoring and evaluation to keep systems reliable and models behaving as expected, collaborating with data and platform teams and Applied Scientists on research and experiment design at massive scale.

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FursaFursa
Inmobi
Inmobi
1 day ago

Machine Learning Engineer – Ad Sciences

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Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live

Job Summary

Develop and optimize ad science models and the infrastructure behind them, including open-source LLM post-training. Build training pipelines, improve experimentation velocity, and optimize online and batch inference for low latency and cost. Create monitoring and evaluation to keep systems reliable and models behaving as expected, collaborating with data and platform teams and Applied Scientists on research and experiment design at massive scale.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and support training pipelines and model implementations to maximize experimentation velocity.
  • •Adapt open-source LLM infrastructure (e.g., DeepSpeed, OpenRLHF) for InMobi-specific post-training needs.
  • •Optimize online and batch inference for low latency and cost efficiency.
  • •Develop monitoring and evaluation solutions to ensure infrastructure reliability and expected model behavior.
  • •Collaborate with Applied Scientists and other engineering teams on experiment design, modeling, and compute platform exploration.

Pay and Benefits

Salary: USD 172,500 - 210,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kRsusHsaPaid LeaveLearning BudgetRemote Work

Key Requirements

  • •Master’s degree in machine learning or a related field; PhD is a plus.
  • •At least 3 years of experience as a Machine Learning Engineer building deep learning systems at extreme scale.
  • •Expertise in large-scale distributed data systems (e.g., high-performance relational and key-value stores) and orchestrators like Airflow, plus data transformations in Spark.
  • •Proficiency in Python; familiarity with Java (especially high-performance serving systems) is a plus.
  • •Experience with ML frameworks and infrastructure such as PyTorch, accelerator-based inference (e.g., Triton), optimization backends (ONNX, TensorRT), and cloud/container orchestration with Kubernetes.
Experience:3+ yearsAd techLLMsDeep learningDistributed systemsGenerative AIReinforcement learning
Education:Master's
Skills:Thinks bigActs fastOwns outcomesAutonomy with accountabilityLifelong learningSolves high-impact problemsTakes pride in work
Languages:English
Tech Stack:PythonJavaPyTorchDeepSpeedOpenRLHFAirflowSparkTritonONNXTensorRTKubernetesGPUsTPUsJAX

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