5+ years of experience in machine learning engineering or related field
Proficiency in data sanitization, model building, and deployment
Experience with maintaining production-grade machine learning models
Strong background in system architecture and design
Ability to handle complex projects involving multiple systems
Familiarity with cloud services, particularly AWS
Comfortable in fast-paced, collaborative environments
Responsibilities
Build and maintain targeting models for Direct Mail Channel
Develop risk models using credit bureau data and customer performance data
Create pricing and product relevance models
Automate back office processes through model-driven solutions
Participate in strategic discussions to inform decision-making
Become a subject matter expert in the product space
Identify new opportunities through data analysis and modeling
Benefits
Collaborative work environment with a focus on personal growth
Opportunities to influence product and strategic direction
Exposure to a wide variety of technical challenges
Chance to work with a modern tech stack including AWS and Python
Participate in shaping the company culture and mission
Full Job Description
Job Description
We are looking for Machine Learning Engineers who have built product models from idea to delivery. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and building models. In this role, you will maintain models in production and build infrastructure to iteratively update them. You will monitor for distribution shifts in the data and adjust models accordingly. You will also be responsible for system architecture, participating in design reviews, and conducting code reviews to ensure best practices.
You can expect to work on
Anything and everything. At this early stage, you will find yourself:
Building targeting models for our Direct Mail Channel
Building risk models from both existing credit bureau data and Aven customers' performance data
Building pricing and product relevance models
Building models to automate back-office human processing of documents and other tasks
Weighing in on strategy. Every voice is important to help inform our decisions
Become an expert in our product space, such that you're able to find new opportunities from data and models
You should join us if
You have led large technically complex projects with a lot of moving parts
You have a lot of experience with a lot of disparate systems
You have worked on production-grade compilers, operating systems, or large distributed systems
You can jump into a new environment and hit the ground running without much hand-holding
You're fine with us not having answers yet. You want to be part of figuring out the answers
You thrive in highly collaborative environments and are down to riff with us on anything from company mission to software architecture to user research
You enjoy diving into the deep end and feel like that's where the greatest personal growth happens
You are fearless about learning the details and understanding every single minute detail of an underlying system or process
