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Rippling is using machine learning and large language models to build software which helps their customers operate their businesses more effectively.

Requirements

• 6 or more years full-time Software Engineering work experience.
• 6+ years of software engineering experience in one or more of the following areas: advertising, recommendation systems, risk/fraud modeling, or natural language processing.
• Proven track record managing and scaling machine learning teams in one or more of the following areas: computational advertising, recommendation systems, risk/fraud modeling, autonomous vehicles, search, natural language processing, or a related field.
• Experience managing machine learning teams at two or more companies.
• Experience with search relevance and search engine infrastructure.
• Experience with big data systems in production: Spark, Pinot, Presto.

Responsibilities

• Manage a team of engineers responsible for going from product ideation to data acquisition to modeling to serving customers in production.
• Attract, recruit, hire, and develop a high-performing ML team.
• Drive technical excellence, operational maturity, and code quality within your team.
• Provide strong leadership to the engineering team, fostering a culture of collaboration, innovation, and continuous improvement.
• Get your hands dirty, and build things with us.

Other

• Ph.D. or equivalent in Computer Science, Engineering, Mathematics, or related field
• 10 years full-time Software Engineering work experience
• Excellent interpersonal and communication skills with the ability to collaborate with diverse stakeholders.
• Strong analytical and problem-solving abilities, with a focus on data-driven decision-making.
• Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.