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Senior Engineering Manager
1 month ago
Gusto is a forward-thinking online platform dedicated to assisting small businesses in looking after their teams efficiently. Along with comprehensive payroll services, Gusto provides health insurance, 401(k)s, expert HR solutions, and tools for team management. With offices in Denver, San Francisco, and New York, Gusto serves over 300,000 businesses nationwide.
Committed to creating a work environment that fosters a better life, Gusto advocates for a collaborative and inclusive workplace, both in physical and virtual settings, learn more about our comprehensive Total Rewards philosophy.
Position Overview
Gusto is in search of a skilled senior engineering leader to head the ML & AI Platform team. This team is responsible for managing the systems and tools that drive our ML and AI applications, enabling Data Scientists and Applied ML and AI Scientists to efficiently develop, test, deploy, and monitor models.
As a vital member of Gusto's ML & AI leadership group, you will lead a dynamic team in constructing a robust and scalable platform to enhance ML and AI applications across the business, delivering their advantages to small and medium-sized businesses. This role plays a critical part in advancing our foundational capabilities, and we are excited to hear from you.
About the Team
The ML & AI team is responsible for the infrastructure, systems, and tools utilized by Gusto for building, deploying, and monitoring ML and AI applications. Given the continuous evolution of this field, particularly with the rise of AI, this role presents an opportunity to spearhead the development of a platform that simplifies and accelerates business impact.
Responsibilities
- Lead essential aspects of the team's mission and strategy to strengthen our ML & AI Platform
- Work closely with Data Scientists, Applied ML, and Applied AI teams to grasp their requirements, pinpoint and prioritize initiatives to hasten their ML/AI workflows
- Engage in technical design dialogues and software delivery while expanding the team
- Collaborate with engineering teams like Data Platform and Infrastructure to shape system design and integrate new systems and tools into Gusto's framework
- Establish and cultivate best practices and processes to bolster efficient team operations
- 8+ years of experience as an ML or Data Platform engineer, including 4+ years in ML/AI
- Minimum of 3 years of engineering management experience, preferably in an ML/AI platform role
- Proficiency in constructing and maintaining ML ops and data infrastructure, particularly in a cloud environment
- Familiarity and enthusiasm for LLM Ops and Generative AI applications and infrastructure
- Strong technical prowess with the ability to comprehend and discuss technical and product tradeoffs and strategies for constructing scalable architectures
- Dedication to fostering, coaching, and expanding direct reports
- Experience with MLOps tools like KubeFlow, AWS Sagemaker, MLFlow, or other ML Ops resources
Gusto maintains physical offices in Denver, San Francisco, and New York City. Employees in these locations are required to work from the office around 2-3 days weekly. The same applies to all positions in Symmetry, Gusto's subsidiary located in Scottsdale.
Please note that office expectations for San Francisco encompass both the San Francisco and San Jose metropolitan areas.
When permitted to work remotely, a reliable internet connection is essential.
Our diverse customer base mirrors our diverse team. We believe in hiring talented individuals from various backgrounds to strengthen our company. If you align with our values and passion for supporting small businesses, you will thrive at Gusto.
Gusto is an equal opportunity employer, promoting diversity and inclusion in all employment decisions, free from discrimination based on various factors. Gusto offers support and accommodations for qualified individuals with disabilities and disabled veterans during the application process.
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