Principal Software Engineer, ML & Media Infra (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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 ’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 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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