Staff Applied Scientist

Braze
New York
Full timeUSD 184,000 - 299,812 annuallyFunction: Research & Scientific (R&D)Experience: 8+ yearsSkills: ["Technical leadership","Hands-on execution","Communication","Mentorship","Bias toward action"]

Own end-to-end ML platform solutions for personalized, customer-facing marketing experiences. Lead transformative initiatives across distributed model training/serving, model lifecycle management, and training pipelines that keep hundreds of customer-specific models healthy across regions. Set the technical vision and quality bar, drive cross-team execution into messaging and analytics surfaces, and mentor senior engineers and data scientists while maintaining high personal delivery.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Braze
Braze
3 days ago

Staff Applied Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Own end-to-end ML platform solutions for personalized, customer-facing marketing experiences. Lead transformative initiatives across distributed model training/serving, model lifecycle management, and training pipelines that keep hundreds of customer-specific models healthy across regions. Set the technical vision and quality bar, drive cross-team execution into messaging and analytics surfaces, and mentor senior engineers and data scientists while maintaining high personal delivery.
Location: New York
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Drive transformative initiatives across how models are trained and served, how data science ships to production, and retirement of infrastructure generations.
  • •Build and ship complex initiatives from design through production, including distributed model training/serving and model lifecycle management.
  • •Set the team’s technical vision and quality bar by defining best practices, direction across the ML platform, and anticipating production issues.
  • •Lead cross-team initiatives by owning technical relationships with teams whose systems the solutions ship into.
  • •Raise engineering quality through design review, code review, production readiness practices, and mentoring senior engineers and data scientists.

Pay and Benefits

Salary: USD 184,000 - 299,812 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid LeaveLearning BudgetEquityRsus

Key Requirements

  • •8+ years building machine learning systems in production with hands-on depth across data science, ML engineering, and ML operations.
  • •Designed and trained predictive models and built/operated the pipelines and services that run them under production load.
  • •Deep experience prototyping, refining, and deploying predictive models including supervised/unsupervised learning, neural networks, and recommenders.
  • •Strong distributed systems fundamentals for scale, reliability, and cost across large data volumes.
  • •Experience communicating clearly and building consensus through designs and recommendations.
Experience:8+ years
Skills:Technical leadershipHands-on executionCommunicationMentorshipBias toward action
Languages:English
Tech Stack:PyTorchTensorflowPythonRuby on RailsMongoDBRedisKubernetesMLflowRayFeature storesML observability

Company Brief

Braze
Provides a customer engagement platform that helps brands create personalized messaging and lifecycle campaigns across mobile, web, email, and other channels to drive retention, engagement, and revenue.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 100M to 250M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2011
WebsiteLinkedIn