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 be part of the Predictive and Generative AI team, focusing on creating ML and AI-enhanced marketing solutions. Your responsibilities include identifying transformative initiatives, building and shipping high-velocity solutions, owning the technical vision, and mentoring team members. You will also connect technical decisions to customer outcomes and collaborate across teams to enhance customer engagement at scale.
- 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 in data science, ML engineering, and ML operations
- Experience with designing and training models, building pipelines and services
- Deep experience with predictive models using frameworks like PyTorch and Tensorflow
- Strong distributed systems fundamentals
- Effective communication skills, both verbal and written
Nice to have
- Experience with recommender systems, multi-armed bandits, or uplift modeling
- Familiarity with ML platform tooling such as MLflow, Ray, or feature stores
- Experience with 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 platforms
Worth weighing
- No specific mention of the tech stack beyond ML frameworks and distributed systems
- Role involves significant hands-on delivery, which may not suit all candidates
- High expectations for personal output and team leadership may be challenging for some
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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