NewsBreak is looking to solve the problem of scalability, efficiency, and cost optimization in their advertising platform and ML pipelines.
Requirements
- Proficiency in at least one programming language (C++, Java, Go, Python).
- Strong background in systems design, performance profiling, and cost optimization.
- Experience with large-scale Ads/ML systems (e.g., ad serving, recommendation, ML training/inference pipelines).
- Solid understanding of cloud or data center resource management (compute, storage, network).
- Experience with infrastructure cost reduction projects (e.g., autoscaling, quota management, compute efficiency).
- Familiarity with GPU/TPU optimization, model compression, or distributed ML training.
- Knowledge of big data ecosystems (Hadoop, Spark, Flink, Presto) and ML platforms (TensorFlow, PyTorch).
Responsibilities
- Design, implement, and optimize large-scale distributed systems for ads serving, bidding, ranking, and ML model training/inference.
- Analyze system performance and cost metrics to identify inefficiencies across compute, storage, and network usage.
- Develop frameworks, tools, and automation to improve infra utilization and reduce overall infrastructure costs.
- Partner with Ads, ML, and Data teams to ensure infra aligns with business growth while maintaining cost efficiency.
- Apply cutting-edge infrastructure and ML optimization techniques (e.g., caching strategies, quantization, distributed training optimization, autoscaling, scheduling).
- Drive cost-efficiency initiatives across cloud and on-premise infrastructure, balancing performance, latency, and budget constraints.
- Provide technical leadership in infrastructure optimization, system design, and best practices.
Other
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 3+ years of experience in software engineering, with a focus on infrastructure, distributed systems, or performance optimization.
- Health, dental, and vision care for you and your family
- Top-tier 401(K) plan with company matching
- Paid time off and paid holidays
