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About the Role

Design and build end-to-end machine learning solutions that power 1-to-1 personalization for leading brands. This role involves designing RL use cases, building and owning the ML pipeline, driving customer success through technical guidance, extending product capabilities, and shaping product strategy.

Responsibilities

• Design RL use cases from the ground up, optimizing for real business value and identifying risks.
• Build and own the full ML pipeline, from raw data transformation to model activation.
• Drive customer success by providing ongoing technical guidance.
• Extend product capabilities by developing features and tools for the AI deployment team.
• Partner with the Braze Product team to refine and advance reinforcement learning algorithms.
• Shape BrazeAI product strategy and roadmap by bringing customer-facing insights and technical expertise.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required.
• 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role.
• Experience working with large-scale data and production environments.
• Experience in customer-facing or consulting roles is strongly preferred.
• Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost).
• Skilled in SQL for querying/manipulating datasets.
• Experience in machine learning pipelines and model deployment.
• Writes well-structured, modular, documented code.
• Follows strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews).
• Ability to build scalable, maintainable solutions.
• Comfortable working directly with clients and cross-functional teams.
• Ability to align stakeholders and translate technical concepts into clear business value.
• Identifies opportunities and risks early, troubleshoots obstacles, and drives creative solutions.
• Stays current with industry trends, explores new tools/technologies, and thrives in growth environments.
• Able to explain complex technical ideas persuasively to both technical and non-technical audiences.

Skills

• Python (Pandas)
• TensorFlow
• Keras
• scikit-learn
• CatBoost
• XGBoost
• SQL
• Machine learning pipelines
• Model deployment
• Git
• CI/CD
• Testing frameworks
• Type-hinting
• Code reviews
• DevOps tools (Airflow, Kubernetes, Terraform, GCP)
• Data integration/ETL
• Pipeline optimization
• Reinforcement learning algorithms

Location

• New York
• Austin
• Berlin
• Bucharest
• Chicago
• Dubai
• Jakarta
• London
• Paris
• San Francisco
• São Paulo
• Singapore
• Seoul
• Sydney
• Tokyo

Work Type

• Hybrid

Experience Level

• 3-5+ years

Education Level

• Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field
• Master’s or PhD in a relevant technical discipline preferred

Benefits

• 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

About the Company

• Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™.
• Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses.
• Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement.
• From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.
• The company has been consistently recognized as a Leader in marketing technology by industry analysts.
• Named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026.
• Named a 2026 Best Places to Work by Built In.
• Named a 2025 America’s Greenest Companies by Newsweek.
• Named a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®.
• Proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore.

Equal Opportunity

• At Braze, we strive to create equitable growth and opportunities inside and outside the organization.
• 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.
• If this sounds familiar, we encourage you to apply, as we’d love to meet you.