Senior Software Engineer I, ML

About this role

<div class="content-intro"><p>At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.</p> <p>We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.</p> <p>To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.</p> <p>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.</p> <p>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. If Braze sounds like a place where you can thrive, we can’t wait to meet you.</p></div><p><strong>WHAT YOU’LL DO</strong></p> <p>Do you enjoy working on data-intensive products? Come join our growing Engineering team to help design, improve and scale Braze's self-learning (reinforcement learning) AI platform. No toy datasets in notebooks - we’re implementing AI pipelines in production at scale! Learn tons about data architecture, data science, and self-learning AI. 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.</p> <p>Responsibilities:</p> <ul> <li>Use robust software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product</li> <li>Work closely with Braze customers to understand, translate and generalize particular use cases to generic platform components</li> <li>Apply your extensive knowledge of Python and its ecosystem to produce clean, readable, and extendible code, and coach others on the team in doing the same</li> <li>Collaborate with teams responsible for Braze’s product strategy and roadmap</li> <li>Support teams implementing Braze for customers to ensure their success</li> <li>Data Science/Back End: Python (Pyspark, Polars, Ibis), SQL, BigQuery, FastAPI</li> <li>Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP</li> <li>We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development</li> </ul> <p><strong>WHO YOU ARE</strong></p> <ul> <li>Exceptional coder: you write clean, object-oriented code; you care about good design and terse, testable APIs</li> <li>Tinkerer: you regularly explore and learn new technologies and methods, especially in the data architecture and data science domains</li> <li>Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes</li> <li>Structured and organized: you can structure a plan, align stakeholders, and see it through to execution</li> <li>Clear communicator: you are able to express yourself clearly and persuasively, both in writing and speech</li> <li>2+ years of experience working with Python in a product setting, including 1+ years in a the data/machine learning ecosystem</li> <li>Experience working with at least one major cloud platform (GCP, AWS, Azure, etc)</li> <li>Experience putting ML models into production</li> <li>General understanding of supervised learning principles is a plus</li> </ul> <p>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). Your particular offer may vary depending on multiple individual 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.</p><div class="content-conclusion"><div class="p-rich_text_section"> <p><strong>WHAT WE OFFER<br></strong></p> <p><em>Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country </em><a href="https://www.braze.com/company/careers/how-we-hire#benefit-section"><em>here</em></a><em>. More details on benefits plans will be provided if you receive an offer of employment.</em></p> <p>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:</p> <ul> <li>Competitive compensation that may include equity</li> <li>Retirement and Employee Stock Purchase Plans</li> <li>Flexible paid time off</li> <li>Comprehensive benefit plans covering medical, dental, vision, life, and disability</li> <li>Family services that include fertility benefits and equal paid parental leave</li> <li>Professional development supported by formal career pathing, learning platforms, and a yearly learning…