Staff Applied Scientist

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. We own those solutions end to end, from the models and the flexible training pipelines that build them for each customer to the high-throughput APIs that serve predictions into our messaging systems. You will help set the scope of what is possible for customer engagement at scale, and from that space of possibilities you will lead solutions from prototype to product and build the ML platform that runs them.

As the Staff Engineer on the team, you will:

• Identify and drive the transformative initiatives that change what the team can deliver, whether that's replatforming how we train and serve models, redefining how data science ships to production, or retiring a generation of infrastructure

• Build and ship at high velocity. Staff at Braze is a hands-on delivery role; you carry the most complex initiatives yourself from design through production. Current examples include distributed model training and serving, model lifecycle management, and the pipelines that keep hundreds of customer-specific models healthy across regions

• Own the team's technical vision and quality bar. Set direction across the product portfolio and the ML platform, define best practices, and anticipate problems before they reach production

• Drive initiatives that span teams. Our solutions ship into messaging, analytics, and data platform surfaces, and you carry the 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

• Connect technical decisions to customer and business outcomes, and represent the team's technical perspective to product and engineering leadership

• 8+ years building ML systems in production, with hands-on depth across data science, ML engineering, and ML operations. You have designed and trained models yourself, built the pipelines and services that run them, and operated them under production load

• A technical leader who has owned direction for a team, led multi-quarter initiatives across team boundaries, and grown senior engineers, all while keeping a high personal output

• Deep experience prototyping, refining, and deploying predictive models (supervised and unsupervised learning, neural networks, recommenders) with frameworks such as PyTorch and Tensorflow

• Strong distributed systems fundamentals, designing for scale, reliability, and cost on the billions of daily data points our customers generate

• An effective communicator, both verbal and written, whose designs and recommendations build consensus and drive forward decision making

• Bonus:

• 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 our 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 (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment.

From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as:

• Competitive compensation that may include equity

• Retirement and Employee Stock Purchase Plans

• Flexible paid time off

• Comprehensive benefit plans covering medical, dental, vision, life, and disability

• Family services that include fertility benefits and equal paid parental leave

• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend

• A curated in-office employee experience, designed to foster community, team connections, and innovation

• Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching

• Employee Resource Groups that provide supportive communities within Braze

• Collaborative, transparent, and fun culture recognized as a Great Place to Work®

At Braze, we're committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most - the person behind each application - we use AI-assisted tools at certain stages of our recruitment process.

This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process.

Depending on where you are located, you may have certain rights available to you in relation to Braze's use of AI:

• To opt out of AI-assisted review of your application, please click the "Learn More" at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application.

• To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a manual review of any decision made or to contest a decision, please contact us at talentdata.privacy@braze.com .

Please contact us at talentdata.privacy@braze.com with any questions. To find out more about our hiring process, check out this page .