Senior Manager, Machine Learning Platform
About The Position
We are seeking an experienced Sr. Manager, Machine Learning Platform to lead and scale our machine learning platform efforts across the company. As a fintech company where machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable ML systems to drive impactful decisions and deliver exceptional customer value. Our mission is to pioneer success stories through the application of generative AI and state-of-the-art machine learning algorithms, thereby generating transformative business and societal impact. The ideal candidate will have a proven track record of building systems, infrastructure and ML Ops workflows at scale, particularly in fast-paced startup environments. A strong foundation in coding, familiarity with production-level ML engineering practices, and the ability to bridge theoretical concepts with practical implementation are essential. The Mountain View base salary range for this full-time position is $348,913 to $426,4490, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.
Requirements
- MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, or equivalent work experience
- 5+ years of experience in Engineering or Scientific domains,
- 5+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
- Industry experience building and productionizing machine learning systems
- Advanced knowledge of Python, SQL
- Strong oral and written communication skills
Responsibilities
- Define and own the machine learning platform roadmap in alignment with business goals.
- Lead the ML platform team to design, develop, and optimize ML-based systems.
- Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics.
- Collaborate with data engineers, ML algorithm engineers and product managers to coordinate timely deployments from conception to release
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
