Develop scalable ML personalization systems to optimize who should receive messages and when to send them, enhancing consumer experiences and driving success for leading global brands.
Requirements
- Proficiency in Java, Python, or Go, with a strong understanding of object-oriented programming
- Experience building and maintaining scalable, high-performance applications that maintain a high bar of quality
- Solid understanding of software engineering best practices, including code reviews, writing tests, and continuous integration
- Experience with service-oriented architecture and distributed systems
- Familiarity with AWS services and cloud infrastructure
- Knowledge of databases such as DynamoDB, Postgres, Snowflake or Redis
- Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar)
Responsibilities
- Develop and maintain scalable systems that power personalized messaging decisions across millions of subscribers
- Partner with data scientists and ML engineers to productionize models for send-time optimization and subscriber engagement propensity
- Optimize real-time and batch pipelines for performance, reliability, and experimentation at scale
- Improve feedback loops and experimentation frameworks to continuously enhance personalization performance
- Drive engineering best practices in ML systems, experimentation, and high-scale personalization infrastructure
- Improve code quality through code reviews, testing, and advocating for best practices
- Contribute to technical decisions and stay current with emerging technologies to enhance our products
Other
- 9+ years of professional experience in software engineering focusing on backend systems
- Proven ability to collaborate effectively with cross-functional teams
- You are excited by new technologies, but are conscious of choosing them for the right reasons
- Competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work
- US base salary range for this full-time position is $156,400 - $240,000 annually + equity + benefits
