Braze
Staff Applied Scientist
$184K–$332K
San Francisco +1 · Staff · Full-time · Posted Sep 1, 2026
- Location
- San Francisco
New York City - Experience
- 8+ years building ML systems in production.
About the job
Lead the development and production deployment of predictive and generative AI marketing solutions and the ML platform that trains and serves customer-specific models.
What you'll do
- Lead complex ML initiatives from design through production, including training, serving, and model lifecycle systems.
- Set technical vision and quality standards for the product portfolio and ML platform; improve engineering practices and mentor senior colleagues.
- Coordinate cross-team delivery and connect technical decisions to customer and business outcomes.
What they ask for
- 8+ years building production ML systems, with hands-on experience across data science, ML engineering, and ML operations.
- Experience prototyping, refining, and deploying predictive models using frameworks such as PyTorch and Tensorflow.
- Strong distributed systems fundamentals for scale, reliability, and cost.
- Technical leadership experience, including team direction, cross-team initiatives, and developing senior engineers.
Nice to have
- Production experience with recommender systems, multi-armed bandits, or uplift modeling; or ML platform tools such as MLflow, Ray, feature stores, or ML observability.
- Experience with Python, Ruby on Rails, MongoDB, Redis, or Kubernetes, or in customer engagement, personalization, or marketing technology.
Pay
USD 184,000 to USD 299,812/year (base salary); USD 204,000 to USD 332,400/year (On Target Earnings, including bonus or commission)
Tools
PyTorch, Tensorflow, MLflow, Ray, Python, Ruby on Rails, MongoDB, Redis
AI focus
Build and operate predictive and generative AI marketing solutions, including customer-specific models, training pipelines, and high-throughput prediction APIs.
Model-written summary · the original posting is authoritative