Machine Learning Infrastructure Engineer, Brigit
$135-180k
+Equity
Promoting sustainable financial health
Job no longer available
Promoting sustainable financial health
101-200 employees
Job no longer available
$135-180k
+Equity
101-200 employees
Company mission
To help everyday Americans build a brighter financial future.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Brigit is an algorithm-based personal finance app that helps underserved financial customers maintain financial health. It offers a raft of protective services including cash bumps to fend off overdraft charges, budgeting tools, and interest-free emergency loans.
In spite of this financially-oriented spread, Brigit has no intention of expanding into neo-banking. This is smart, as it allows the company to focus on a broad range of banner services without stepping into the far more competitive digital banking sector. Brigit has successfully united these disparate features under a strong customer-forward and socially-impactful identity, which gives the company the freedom to expand its services in response to new banking trends without diluting its brand.
It means, too, that Brigit can complement new and legacy banking solutions, instead of competing for space. This careful positioning should shore Brigit up in a sector undergoing continual and swift change.
Steph
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2021
$35m
SERIES A
Jan 2020
$35m
SERIES A
Total funding: $110m
Company benefits
- Medical benefits - We offer top-quality health insurance (medical, dental, vision, and wellness) with options so you can select the plan that works best for you
- Generous paid time off - Take the time you want and need to recharge and live a fully balanced life
- Paid parental leave - Because we know there are no jobs harder than being a parent, we support our employees with paid parental leave
- Phone/wifi stipend - Whether you’re in a hybrid or remote role, we make sure our employees have what they need to work effectively outside of the office
- 401K - Choose from a wide range of plans to find the ones that suit your specific retirement plans and savings goals
- Snacks & more - Caffeine and a stocked kitchen keep us energized and Thursday lunch brings everyone together for a weekly nosh
Company HQ
Midtown Manhattan, New York, NY
Leadership
Hamel Kothari
(CTO & CDO)Former software engineer at Palantir and Two Sigma. Graduated from Berkley with a BA in computer science.
Zuben Mathews
(CEO)Former founder and group head in Strategic Partnership at Deutsche Bank, and managing director at Infosys Technology. Founder of METROINDIA.COM. Graduated with a BA Economics from University of Chicago.
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