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Job description
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 learning systems in both batch and real‑time environments
Generate insights and recommendations that improve growth effectiveness and the overall member experience
Contribute to experimentation frameworks, optimization strategies, and scalable ML platform capabilities
Help identify technology gaps and opportunities where AI/ML solutions can create measurable business impact
To thrive in this role, you have
Deep expertise in building sequential and deep learning models, especially outside of traditional NLP applications and within financial or behavioral data domains
Strong experience across the end‑to‑end ML lifecycle, including training, experimentation, optimization, deployment, and monitoring
Experience working with large‑scale transactional, financial, or behavioral datasets to develop predictive models
Hands‑on experience with AWS and modern ML infrastructure tools such as SageMaker, Kafka, Airflow, Redis, Snowflake, and Spark
Strong proficiency in Python, SQL, and distributed computing and model training frameworks such as PyTorch and PySpark for scalable ML development
A strong MLOps mindset with experience deploying and maintaining production‑grade ML systems
The ability to operate independently, collaborate cross‑functionally, and move quickly in ambiguous environments
What we offer for our full‑time, regular employees
In‑office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company‑wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
In‑office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute.
Competitive salary based on experience.
401(k) match plus great medical, dental, vision, life, and disability benefits.
Generous vacation policy and company‑wide Chime Days, bonus company‑wide paid days off.
1% of your time off to support local community organizations of your choice.
Annual wellness stipend to use towards eligible wellness related expenses.
Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non‑birthing parents.
Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
In‑person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.