Senior AI/ML Engineer

United States Digital Space LLC; Chicago (IL); On-site; USD 172,000 - 238,000; Full time

Benefits offered by this job

Bonus

Equity

Health benefits

Paid time off

Parental leave

Job summary

United States Digital Space LLC is seeking a Senior AI/ML Engineer, Growth & Marketing AI, to build transformer-based models that convert behavioral and financial data into personalized experiences for millions of members.

You will collaborate with Growth & Marketing, Product, and Engineering to deploy scalable AI systems. Base salary starts at $172,000 and can go up to $238,000, plus bonus and equity; actual offer depends on location and experience.

Qualifications

• Deep expertise in building sequential and deep learning models beyond traditional NLP, esp. with financial/behavioral data.
• End-to-end ML lifecycle experience: training, experimentation, optimization, deployment, monitoring.
• Experience with large-scale transactional, financial, or behavioral datasets for predictive modeling.
• Hands-on with AWS and ML infra tools like SageMaker, Kafka, Airflow, Redis, Snowflake, Spark.
• Proficiency in Python, SQL, distributed computing, and frameworks PyTorch/PySpark for scalable ML.
• Strong MLOps mindset with production ML deployment experience.
• Ability to work independently and collaborate across Growth, Product, and Engineering teams.

Responsibilities

• Develop and deploy sequential deep learning models and traditional ML systems to power growth and marketing initiatives.
• Build predictive models using large-scale financial, transactional, and behavioral datasets to improve personalization and engagement.
• Partner cross-functionally with Growth & Marketing, Product, and Engineering teams to drive AI/ML initiatives.
• Design and improve infrastructure for training, serving, and monitoring large-scale ML systems in batch and real-time environments.
• Generate insights and recommendations that improve growth effectiveness and the member experience.
• Contribute to experimentation frameworks, optimization strategies, and scalable ML platform capabilities.
• Identify technology gaps and opportunities where AI/ML can create measurable business impact.

Skills

Sequential models

Deep learning

ML lifecycle

MLOps

Cross-functional collaboration

Distributed computing

Tools

AWS

SageMaker

Kafka

Airflow

Redis

Snowflake

Spark

PyTorch

PySpark

Python

SQL

Job description

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 the company. 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

A little about us

At the company, we believe that everyone can achieve financial progress. We created the company—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.

We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don't—who will?

*the company is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

• 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.

• Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.

• Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.

• Generous vacation policy and 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 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents

• Access to family planning reimbursement

• A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress