Senior AI​/ML Engineer

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  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 $ and up to $. 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.

• 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.

• 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 Sage Maker, 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.

• Our 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.
• 401k 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, and delicious snack boxes.
• A…