Description
Braze is seeking a Staff Applied Scientist to join our Predictive and Generative AI (PGAI) team. The team's mission is to deliver a truly engaging and personalized customer experience through the creation of ML and AI enhanced marketing solutions.
As the Staff Engineer on the team, you will:
- Identify and drive transformative initiatives that change what the team can deliver
- Build and ship at high velocity, carrying complex initiatives from design through production
- Own the team's technical vision and quality bar, setting direction across the product portfolio and ML platform
- Drive initiatives that span teams, carrying technical relationships with those teams
- Raise the team's engineering quality through design review, code review, and production readiness for ML systems, and mentor other senior engineers and data scientists
Requirements:
- 8+ years building ML systems in production, with hands-on depth across data science, ML engineering, and ML operations
- Experience designing and training models, building pipelines and services, and operating them under production load
- Technical leadership experience, owning direction for a team, leading multi-quarter initiatives, and growing senior engineers
- Deep experience prototyping, refining, and deploying predictive models with frameworks such as PyTorch and Tensorflow
- Strong distributed systems fundamentals, designing for scale, reliability, and cost
- Effective communication skills, verbal and written
Bonus skills:
- Recommender systems, multi-armed bandits, or uplift modeling in production
- ML platform tooling such as MLflow or another model registry, Ray, feature stores, or ML observability
- Experience in Braze's stack (Python, Ruby on Rails, MongoDB, Redis, Kubernetes)
- Customer engagement, personalization, or marketing technology domain experience
For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $184,000 and $299,812/year with an expected On Target Earnings (OTE) between $204,000 and $332,400/year.