# Sr. Staff Software Engineer, Product ML Infrastructure

**Company**: Pinterest
**Location**: Palo Alto, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $245,402-$429,454 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/pinterest/jobs/8046860?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4b31e823-a22

## Description

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Pinterest's Product ML Infrastructure (PMLI) team enables fast, safe, and efficient delivery of AI/ML solutions across Ads and Core critical products. We build unified data, training, feature, and inference infrastructure; this role will set technical direction across model training and serving, with a focus on GPU efficiency and large-scale ranking systems.

Responsibilities:

- Set the technical vision and roadmap for model training and serving across PMLI, with reusable interfaces to data and feature infrastructure.

- Lead architectures for distributed training, fine-tuning, distillation, evaluation, and high-scale CPU/GPU inference.

- Improve efficiency across data loading, distributed execution, GPU kernels and memory, compilation, quantization, scheduling, and capacity.

- Build reliable, observable platforms with strong quality guarantees and training/serving consistency.

- Partner with Ads and Core AI/ML teams to productionize features and models safely at Pinterest scale.

- Drive cross-organizational architecture decisions, migrations, and operational standards; mentor senior engineers and raise the engineering bar.

- Use AI-assisted development and analysis to accelerate prototyping, performance diagnosis, and validation while maintaining rigorous correctness and data safeguards.

Requirements:

- A track record of setting technical strategy and delivering company-wide infrastructure initiatives in ambiguous environments.

- Deep expertise in distributed ML systems, including production experience with both large-scale training and online inference.

- Strong GPU performance knowledge, such as profiling, distributed execution, kernel and memory optimization, compilation, or quantization.

- Experience with AI/ML modeling, recommender systems, Ads ranking, retrieval, feature platforms, or similarly demanding ML workloads.

- Strong systems programming and design skills in C++, Java, or Python.

- High ownership and sound judgment in reliability, security, cost, and operational excellence.

- Demonstrated ability to use AI to improve speed and critically evaluate AI-assisted work, with accountability for correctness, quality, and sensitive data.

- Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience.

Benefits:

- The position is eligible for equity.

- Base salary range: $245,402-$429,454 USD

## Skills

### Required
- distributed ML systems
- GPU performance
- AI/ML modeling
- systems programming
- C++
- Java
- Python

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/pinterest/jobs/8046860?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)