Senior Engineering Manager - Machine Learning and AI

Rippling People Center • San Francisco, CA

83d

About The Position

Rippling is seeking a highly skilled and experienced leader to join its Applied Machine Learning team. The team is focused on using machine learning and large language models to build software that helps customers operate their businesses more effectively. The role involves managing a blended team of machine learning modelers, infrastructure experts, and software engineers who are responsible for building data and algorithm-driven products, as well as ML-driven features in existing Rippling products. Successful candidates will operate with autonomy and alacrity, demonstrating strong customer empathy and the ability to drive outcomes across the entire engineering stack from data ingestion through modeling and into production.

Requirements

• Ph.D. or equivalent in Computer Science, Engineering, Mathematics, or related field AND 6 or more years full-time Software Engineering work experience; OR
• 10 years full-time Software Engineering work experience, which includes 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.
• 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.

Nice To Haves

• 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: eg, 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.
• Work in our SF Office 3x a week with your team and our broader leadership team.

Benefits

• Competitive salary
• Benefits
• Equity

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Publishing Industries
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees