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Chime

Chime

Fintech · Neobank

Website
chimegame.com

Frequently asked questions

  • What AI roles is Chime hiring for?

    Chime currently has 6 active AI-related roles in our index. The most common open titles are: AI/ML Engineer, Data Governance Engineer, Engineering Manager, Mobile Client Foundation, Product Manager, AI & App Experience, Senior AI/ML Engineer. Most positions are in Engineering and Product.

  • What stage of AI development does Chime focus on?

    Chime's active AI hiring is concentrated in: post-training (33%), application (17%), evaluation (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.

  • Where is Chime hiring AI talent?

    Chime is hiring AI talent in: United States (6 roles).

  • What technologies does Chime's AI team work with?

    Job postings at Chime most frequently reference: model serving, recommender systems, inference infra, fine tuning, evals.

  • How many AI roles has Chime posted recently?

    In the past 30 days, Chime has posted 5 new AI-related roles.

Jobs (2)

2 AI · 68 total active
FilteredStagePost-train×FunctionEngineering×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllPost-train · 2Serve · 1Agent · 1Eval Gate · 1Ship · 1
Function
AllProduct · 38Engineering · 30
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TitleStageFunctionLocationFirst seenAI score
AI/ML Engineer
AI/ML Engineer on the Trust & Safety team at Chime, focusing on building and deploying models for risk detection, member behavior understanding, and decisioning systems. The role involves end-to-end model development, including training pipelines, feature development, offline evaluation, online experiment analysis, and contributing to production workflows like tuning and inference. It emphasizes applying modern AI/ML methods such as generative AI and sequence models to financial risk challenges in a high-scale environment.
Post-trainServeEngineeringSan Francisco, CAyesterday7
Senior AI/ML Engineer
Senior AI/ML Engineer focused on Growth & Marketing AI at Chime. The role involves developing foundational transformer models for personalized experiences, recommendations, and communications using behavioral and financial data. Responsibilities include building predictive models, designing training/serving infrastructure, and contributing to ML platform capabilities. Requires expertise in sequential deep learning, end-to-end ML lifecycle, large-scale datasets, AWS, Python, SQL, PyTorch, and MLOps.
Post-trainServeEngineeringSan Francisco, CAyesterday7