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3 часа назад

Principal Software Engineer, ML & Media Infra (AI)

285 452 - 449 541$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Software Engineer, ML & Media Infra (AI): Building unified infrastructure for distributed model training, high-scale inference, content acquisition, media ingestion, and signal processing with an accent on GPU efficiency, ranking systems, and reliable ML platforms. Focus on designing training and serving architectures, optimizing kernels and memory, and driving cross-organizational infrastructure decisions at Pinterest scale.

Location: US-based applicants only; must be within a commutable distance of the Palo Alto, California or San Francisco, California office and attend in-person collaboration 1–2 times per quarter. The position is not eligible for relocation assistance.

Base salary: $285,452–$449,541 USD annually; eligible for equity.

Company

hirify.global is a creative inspiration platform serving millions of people worldwide, with AI and ML supporting its product, advertising, content, and recommendation experiences.

What you will do

  • Set the technical vision and roadmap for model training and serving, including reusable interfaces to data and feature infrastructure.
  • Lead architectures for distributed training, fine-tuning, distillation, evaluation, CPU/GPU inference, content acquisition, media ingestion, and signal processing.
  • 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, Core AI/ML, Content, Shopping Catalog, and GenAI teams to productionize models and improve hirify.global’s content ecosystem.
  • Drive architecture decisions, migrations, operational standards, and mentoring across the organization while using AI-assisted development with rigorous correctness and data safeguards.

Requirements

  • Track record of setting technical strategy and delivering company-wide infrastructure initiatives in ambiguous environments.
  • Deep production expertise in distributed ML systems, including large-scale training and online inference.
  • Strong GPU performance knowledge, including 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.
  • Experience with content acquisition, such as crawlers, content understanding, or near-real-time data processing.
  • Experience with search and recommendation systems or ad-serving systems.
  • Strong systems programming and design skills in C++, Java, or Python.
  • High ownership and sound judgment in reliability, security, cost, and operational excellence.
  • Ability to use AI to improve speed while critically evaluating AI-assisted work and remaining accountable for correctness, quality, and sensitive data.
  • Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent experience.

Culture & Benefits

  • Flexible working model with in-person collaboration required 1–2 times per quarter.
  • Employment includes eligibility for equity and access to hirify.global benefits.
  • Inclusive workplace and equal-opportunity employment practices.

Hiring process

  • The interview process evaluates foundational skills, collaboration with AI, reasoning, approach, correctness, and responsible handling of data.

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