Senior Machine Learning Engineer

Join to apply for the Senior Machine Learning Engineer role at myGwork - LGBTQ+ Business Community 4 days ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Engineer role at myGwork - LGBTQ+ Business Community Get AI-powered advice on this job and more exclusive features. This job is with Braze, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.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.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.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 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.What You'll DoDo 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.ResponsibilitiesUse robust software engineering best practices to design, implement, and improve modular components in a cutting-edge ML product Work closely with Braze customers to understand, translate and generalize particular use cases to generic platform components 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 Collaborate with teams responsible for Braze’s product strategy and roadmap Support teams implementing Braze for customers to ensure their success Data Science/Back End: Python (Pyspark, Polars, Ibis), SQL, BigQuery, FastAPI Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP We write well-tested, type-hinted, documented, modular code and use pre-commit hooks, CI/CD, and issue tracking for development Who You AreExceptional coder: you write clean, object-oriented code; you care about good design and terse, testable APIs Tinkerer: you regularly explore and learn new technologies and methods, especially in the data architecture and data science domains Entrepreneurial: you proactively identify opportunities and risks, work around obstacles, and always seek creative ways to improve processes and outcomes 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 2+ years of experience working with Python in a product setting, including 1+ years in a the data/machine learning ecosystem Experience working with at least one major cloud platform (GCP, AWS, Azure, etc.) Experience putting ML models into production General understanding of supervised learning principles is a plus What We OfferBraze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment.BenefitsFrom 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: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 A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collaborative, transparent, and fun culture recognized as a Great Place to Work About BrazeBraze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging. Braze allows any marketer to collect and take action on any amount of data from any source, so they can creatively engage with customers in real time, across channels from one platform. From cross-channel messaging and journey orchestration to Al-powered experimentation and optimization, Braze enables companies to build and maintain absolutely engaging relationships with their customers that foster growth and loyalty.Braze is proudly certified as a Great Place to Work in the U.S., the UK, Australia, and Singapore. In 2025, we were recognized as one of Built In’s Best Places to Work. In 2024, we were included in U.S. News & World Report’s Best Companies to Work For (Top 10%) and recognized in Great Place to Work’s Fortune Best Medium Workplaces, Fortune Best Workplaces in Technology, Fortune Best Workplaces for Parents, and Fortune Best Workplaces for Women.Additionally, we were featured in Great Place to Work UK’s Best Workplaces, Best Workplaces in Europe, Best Workplaces for Development, Best Workplaces for Wellbeing, Best Workplaces for Women, and Best Workplaces in Technology.You’ll find many of us at headquarters in New York City or around the world in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, Singapore, São Paulo, Seoul, Sydney and Tokyo – not to mention our employees in nearly 50 remote locations.BRAZE IS AN EQUAL OPPORTUNITY EMPLOYERAt Braze, we strive to create equitable growth and opportunities inside and outside the organization.Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you.We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at myGwork - LGBTQ+ Business Community by 2x Sign in to set job alerts for “Senior Machine Learning Engineer” roles. Graduate 2025 Software Engineer I Backend, Brazil Software Engineer, Early Career (For Women in Tech Candidates) We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr