Snap Inc is looking to scale its Content Signal & Training Data infrastructure, develop new signals for content ranking and retrieval, optimize training data pipelines, and drive innovations to make Snapchat's ranking and recommendation systems more reliable, efficient, and impactful.
Requirements
- Strong programming skills in Python, Java, Scala, or C++
- Strong problem-solving skills with a focus on system performance, data quality, and scalability
- Good understanding of distributed systems, data pipelines, and ML infrastructure
- 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
- Experience with big data processing frameworks such as Spark, Flink, Dataflow, or Ray
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
- 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)
- Build training data monitoring and analysis tools with platform teams, including SQL-based analysis, feature importance, discrepancy detection, and anomaly detection
Other
- 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
- Compensation packages that let you share in Snap’s long-term success!
- The base salary range for this position is $157,000-$235,000 annually.
