Hi, we're Brigit! A holistic financial health company helping every American build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!

Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others:

• Built In’s 2023 & 2024 Best Startups to Work For In New York City
• Built In’s 2024 Best Startups to Work For In the U.S.
• Fast Company’s Most Innovative Companies of 2022
• Forbes Fintech 50 2022
• Business Insider’s Most Promising Consumer Startups 2022

Role Overview:

We are seeking an experienced Machine Learning Infrastructure Engineer to join our team as we continue building more and more models into our key business processes. This role focuses on developing, deploying, and managing scalable machine learning solutions within our tech stack that includes Snowflake, dbt, Python, Kubernetes, and Java. The ideal candidate will have a strong foundation in software engineering and data infrastructure, as well as a proven ability to implement efficient, scalable, and robust decisioning platforms.

What you’ll do

• Design and implement tools and pipelines to help our data scientists build and backfill new features using Snowflake for data warehousing, dbt for data transformation, and Python for machine learning modeling.
• Utilize Kubernetes and Python for orchestrating containerized machine learning applications and ensuring scalable deployment across our production environments.
• Occasionally interact with our Java applications that feed data to and call our ML models
• Collaborate with data scientists and analysts to understand their needs and provide them with the infrastructure and tools required for their workflows for example deployment of more sophisticated models (eg. tensorflow, keras, etc) and more sophisticated architectures.
• Ensure the reliability, availability, and performance of ML models and model building/data infrastructure.
• Stay current with the latest technologies and practices in machine learning infrastructure and advocate for their adoption when appropriate.

Your skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proficient in Python, with 3 years of experience using it on the job
• Strong background in building and maintaining scalable machine learning models and data pipelines.
• 3 years of Modeling Infrastructure engineering experience
• 5 years of software engineering experience (inclusive of above)
• Experience with Kubernetes and containerization technologies in a cloud environment
• Experience with Snowflake and dbt for data management and transformation or similar technologies
• Experience with Java is a plus but not required.
• Experience working with an maintaining feature stores is a plus
• Experience with Spark and other big data technologies is a plus but not required
• Excellent problem-solving skills and ability to work in a fast-paced, team-oriented environment.
• Excellent communication and interpersonal skills.

The anticipated annual base salary for this position is $135,000 - $180,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Benefits & Team

• Medical, dental, and vision insurance
• Equity participation
• Flexible PTO Policy
• 401k plan
• Paid Parental Leave
• Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
• Monthly reimbursements to use against wifi and cell phone bills
• Annual reimbursement for Learning & Development
• Help hard working Americans build a brighter financial future
• High-growth company at an early stage
• A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.