Braze

Staff Applied Scientist

Braze · Austin

Posted 15 days ago

or apply directly on Braze's site. We never take the application ourselves.

Is this posting real?

This role has been open
15 days
Braze's roles stay open a median of 45 days
Reposted
No
Salary listed
No
4% of Braze's roles list one
Ghost-job risk at Braze
low
0 stale, 8 reposted of 287 open
Hiring momentum
397 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Braze's own greenhouse board since 2026-08-03. Full hiring picture for Braze.

About this role

As a Staff Applied Scientist at Braze, you will lead the Predictive and Generative AI team to create machine learning and AI-driven marketing solutions. Your role involves driving transformative initiatives, building and shipping complex ML systems, and mentoring other engineers while ensuring high-quality technical standards. You will also connect technical decisions to customer outcomes and collaborate across teams to enhance customer engagement at scale.

Our read on this posting3.8out of 5
benefits
5/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Braze as an employer.

What you need

  • 8+ years building ML systems in production
  • Hands-on experience across data science, ML engineering, and ML operations
  • Experience with prototyping, refining, and deploying predictive models using frameworks like PyTorch and Tensorflow
  • Strong distributed systems fundamentals
  • Effective communication skills, both verbal and written
  • Technical leadership experience with multi-quarter initiatives and mentoring senior engineers

Nice to have

  • Experience with recommender systems, multi-armed bandits, or uplift modeling in production
  • Familiarity with ML platform tooling such as MLflow, Ray, or feature stores
  • Experience in Python, Ruby on Rails, MongoDB, Redis, Kubernetes
  • Background in customer engagement, personalization, or marketing technology

What you get

  • 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 including fertility benefits and equal paid parental leave
  • Professional development supported by formal career pathing and learning stipend

Worth weighing

  • No specific details on the exact technical stack used beyond general frameworks mentioned
  • High level of responsibility and expectations for personal output may indicate a demanding work environment
  • Role involves significant cross-team collaboration which may require strong interpersonal skills

Summarised from Braze's posting. Read the full original.

Listed by Braze on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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