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Spa 23 Fitness and Lifestyle

Senior Engineering Manager - ML & AI Platform

Spa 23 Fitness and Lifestyle, San Francisco, California, United States, 94199


Senior Engineering Manager - ML & AI Platform

Gusto, Inc.

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Bay Area, CA, USA$225000-$279000HybridRole Highlights

Generative AIData InfrastructureML OpsApplied MLSystem DesignOperationsCloudLLMsTeam ManagementServerTools, Libraries and Frameworks

AWSSageMakerMLFlowDescription

Gusto is seeking a senior engineering leader to lead the ML & AI Platform team, which is responsible for the systems and tooling that power ML and AI applications, enabling efficient model building, testing, deployment, and monitoring by Data Scientists and AI specialists. This leader will guide strategic and technical facets, collaborating with Data Scientists and AI teams to accelerate ML/AI workflows and integrating new tools into Gusto's infrastructure. The role focuses on building a scalable and robust platform to boost business impact through ML and AI applications. This position offers the opportunity to influence critical parts of the ML & AI charter and strategy, ensuring efficient operations and technological advancements.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.About the company

Gusto, Inc.

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Description

Gusto is a modern online platform providing small businesses with a suite of services including full-service payroll, health insurance, 401(k)s, and various HR and team management tools. With offices in Denver, San Francisco, and New York, Gusto serves over 300,000 businesses across the United States. The company is driven by a mission to make work empower a better life, dedicating itself to building a collaborative and inclusive workplace. Gusto positions itself at the forefront of utilizing data to guide product development and business insights, demonstrating a strong commitment towards a data-informed approach in product evolution.

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