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Snap Inc. is looking to scale its Content Signal & Training Data infrastructure, develop new signals for ranking and retrieval, optimize training data pipelines, and drive innovations to enhance the reliability, efficiency, and impact of Snapchat's ranking and recommendation systems.

Requirements

• Strong programming skills in Python, Java, Scala, or C++
• Strong problem-solving skills with a focus on system performance, data quality, and scalability
• Deep understanding of distributed systems, data pipelines, and ML infrastructure
• Experience with big data processing frameworks such as Spark, Flink, Dataflow, or Ray
• Familiarity with feature engineering, signal pipelines, and model training workflows
• Proven track record of operating highly available and reliable infrastructure at scale
• Experience building large-scale data or ML production systems, distributed systems, or big data processing

Responsibilities

• Design and optimize systems for large-scale signal generation, indexing, serving, and applications
• Build and maintain content feature lifecycle management, including generation, storage, sourcing, monitoring, and deprecation of unused features
• Simplify the content feature development process by collaborating with ML data platform teams and improving tooling for generation, storage, and sourcing
• Optimize and monitor signal pipelines for reliability, latency, and scalability
• Develop infrastructure for training data pipelines, including logjoin optimization, streaming logjoin, data sampling, data shuffling, and window tuning
• Build and maintain training data for new applications and ranking models, including experiments on long-term objectives such as user retention and creator affinity
• Collaborate with ML engineers to improve training workflows (feature engineering, preprocessing, model iterations, evaluation, and inference)

Other

• Bachelor’s degree in a technical field such as computer science or equivalent experience
• 6+ years of post-Bachelor’s software development experience; or Master’s degree in a technical field + 5+ years of post-grad software development experience; or PhD in a relevant technical field + 2+ years of post-grad software development experience
• Ability to proactively learn new concepts and apply them in a fast-paced environment
• Strong collaboration skills with ML engineers, data scientists, and infra teams
• Work in an office 4+ days per week