Trusted by 300,000 businesses and their teams with modern HR tools, payroll, and benefits.
compliance
June 6
🏢 In-office - San Francisco
Trusted by 300,000 businesses and their teams with modern HR tools, payroll, and benefits.
compliance
• Lead the ML & AI Platform team to build and scale robust systems and tooling • Collaborate with Data Scientists, Applied ML, and Applied AI teams to accelerate ML/AI workflows • Define best practices and processes to support team operations • Work closely with other engineering teams to integrate new systems and tools into Gusto’s stack
• 8+ years of experience as a ML or Data Platform engineer, with 4+ years of experience in ML/AI • 3+ years of engineering management experience ideally in a ML/AI platform role • Expertise in building and supporting ML ops and data infrastructure, ideally in the cloud • Exposure and interest in LLM Ops and Generative AI applications and infrastructure • Strong technical acumen with the ability to understand and debate technical and product tradeoffs and approaches to building scalable architecture • Passion for developing, coaching, and scaling direct reports • Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, MLFlow, or other ML Ops tools
• Physical office spaces available in Denver, San Francisco, and New York City • Remote work options • Competitive salary range • Inclusive workplace environment
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