Senior AI/ML Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Deadline

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Where they hire

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About this role

Senior AI/ML Engineer Chicago, IL, USA; New York, NY, USA; San Francisco, CA, USA; Seattle, WA, USA About the role We're hiring for a Senior AI/ML Engineer, Growth & Marketing AI to help us build the next generation of AI-powered growth and marketing capabilities at Chime. In this role, you'll develop foundational transformer models that convert behavioral and financial data into highly personalized experiences, recommendations, and communications for millions of members. You'll work closely with the Growth & Marketing team, as well as the Product and Engineering teams to deploy scalable AI systems that improve member engagement and drive company growth. This is a highly applied role where you'll have the opportunity to work with rich datasets, solve challenging real-world problems, and build cutting-edge deep learning systems in production. The base salary offered for this role and level of experience will begin at $172,000.00 and up to $238,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. In this role, you can expect to - Develop and deploy sequential deep learning models and traditional machine learning systems to power growth and marketing initiatives - Build predictive models using large-scale financial, transactional, and behavioral datasets to improve personalization and member engagement - Partner cross-functionally with Growth & Marketing, Product, and Engineering teams to drive strategic AI/ML initiatives - Design and improve infrastructure for training, serving, and monitoring large-scale ML and deep

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