Braze

Braze

Senior Software Engineer I, ML

Toronto · Senior

Sponsorship not specifiedDetected 19 hours ago
PythonFastAPIExpressCode ReviewSQLBigQueryAWSGCPAzureCloud PlatformsKubernetesTerraformCI/CDDevOpsMachine LearningAirflowData ScienceAgentic AIProduct StrategyRecruiting

About the role

  • We're a genuinely approachable, exceptionally kind, and intensely passionate crew.
  • There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
  • If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back.

Responsibilities

  • Work in a team that not only talks-the-talk of development best practices, but walks the walk - unit & integration tests, modular design, CI/CD, pair programming, code reviews - the works.
  • Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product
  • Collaborate with teams responsible for Braze's product strategy and roadmap
  • Exceptional coder: you write clean, object-oriented code; you care about good design and terse, testable APIs
  • A curated in-office employee experience, designed to foster community, team connections, and innovation
  • Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses.

Requirements

  • Structured and organized: you can structure a plan, align stakeholders, and see it through to execution
  • Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech
  • Experience working with at least one major cloud platform (GCP, AWS, Azure, etc)
  • Experience putting ML models into production

Skills

  • We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development
  • you regularly explore and learn new technologies and methods, especially in the data architecture and data science domains

Compensation

  • For candidates based in Ontario, the pay range at the start of employment for this position is expected to be between CA$153,815 - CA$250,039/year, with an expected On Target Earnings (OTE) between CA$172,000 - CA$279,600/year (including performance-based or variable compensation (bonus or commission).
  • Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching

Benefits

  • More details on benefits plans will be provided if you receive an offer of employment.
  • 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
  • Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here.
  • From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony.

Company info

  • Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.
  • Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.
  • If Braze sounds like a place where you can thrive, we can't wait to meet you.
  • Work closely with Braze customers to understand, translate and generalize particular use cases to generic platform components
  • Support teams implementing Braze for customers to ensure their success

Visa & Work Authorization

  • Depending on where you are located, you may have the right to request further information about how AI is used in our recruitment process, to opt out of AI-assisted review, to request a manual review of any decision made or to contest a dec

This listing is sourced directly from Braze's careers page and normalized into a canonical job model.