TL;DR

Software Engineer C++ (ML): Building and optimizing high-load ML infrastructure by enhancing AI training and inference systems, retrieval frameworks, and ML feature stores with an accent on driving innovations that improve %hirify_global%'s ranking and recommendation systems. Focus on designing scalable infrastructure systems for machine learning workloads, building feature generation and serving pipelines, and improving reliability and efficiency.

Location: Onsite in Bellevue or Seattle, United States. Expectation to work in an office 4+ days per week.

Salary: $133,000–$235,000 annually

Company

Snap Inc. is a technology company creating innovative products like %hirify_global%, Lens Studio, and Spectacles to empower self-expression and communication.

What you will do

Optimize AI training/inference systems, retrieval frameworks, and ML feature stores for ranking and recommendation.
Design and optimize scalable ML infrastructure systems, driving reliability and efficiency improvements.
Build and enhance feature generation and serving pipelines for online feature stores and retrieval sources.
Develop comprehensive data management systems for scalable data ingestion, processing, and evaluation.
Collaborate closely with ML and Product engineers to deliver cutting-edge ML products.

Requirements

Deep expertise in modern C++ (C++11/14/17) with experience in large-scale production codebases.
Proficiency with performance optimization techniques, strong CS fundamentals (algorithms and data structures), and problem-solving skills.
Bachelor's degree in a technical field such as computer science or equivalent years of experience.
2+ years of post-Bachelor’s software development experience (or Master’s + 1 year, or PhD).
Industry C++ development experience.

Nice to have

Experience working on large scale infrastructure systems.
Experience building or scaling ML Infrastructure systems.
Familiarity with metrics instrumentation, observability, and debugging tools.

Culture & Benefits

"Default Together" policy: expect to work in an office 4+ days per week.
Comprehensive medical coverage, emotional and mental health support programs, and paid parental leave.
Compensation packages that include equity in the form of RSUs.
Commitment to diversity and providing employment opportunities regardless of protected classification.