InMobi
Machine Learning Engineer – Ad Sciences
- Confirmed live in the last 24 hours
- $172.5k–$210k
- Mid level
- On-site · San Mateo, CA
- 3+ yrs exp
- Added 3 weeks ago
About this role
InMobi is seeking a Machine Learning Engineer to contribute to the development and optimization of ad science models and related infrastructure. This role involves building and supporting training pipelines, optimizing inference for performance and cost, and collaborating with researchers to improve data pipelines and unlock new features. The ideal candidate will have a strong background in large-scale machine learning systems and experience with distributed data processing.
What you'll do
- Build and support training pipelines and model implementations.
- Optimize online and batch inference for low latency and cost.
- Develop monitoring and evaluation solutions for infrastructure reliability.
- Adapt open-source LLM infrastructure for InMobi's specific needs.
- Leverage data features to strengthen data pipelines.
- Collaborate with Applied Scientists on experiment design.
What they're looking for
- Python
- PyTorch
- Distributed Data Systems
- Airflow
- Spark
- Kubernetes
- Deep Learning
- TensorRT
Benefits
- Competitive Salary
- Restricted Stock Units (RSUs)
- Award-winning culture
- Best-in-class benefits
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InMobi
Likely interview questions
- Describe your experience building and optimizing large-scale machine learning systems.
- How familiar are you with DeepSpeed and OpenRLHF, and how would you adapt them for a production environment?