Machine Learning Platform Engineer II - Remote

Overview

Dave is looking for a passionate Machine Learning Platform Engineer II in our Engineering organization. As a Machine Learning Platform Engineer II, you will contribute to the design and development of the infrastructure responsible for operationalizing Machine Learning at Dave.

You're someone who thrives on collaboration, is passionate about building robust and scalable Machine Learning systems, and is excited to help level the financial playing field for our members. This role will partner directly with product managers, engineers, data scientists, marketing and other business partners across the business to design, develop and continuously improve the infrastructure responsible for operationalizing Machine Learning at Dave.

In Short

• Delivers consistent, high-quality Python code for our Machine Learning Platform, including our in-house Feature Store, real-time scoring service, and infrastructure for all aspects of the model development lifecycle.
• Helps eliminate the potential for member-impacting issues by writing thorough tests (unit, integration, etc.) and participating in thoughtful code reviews.
• Identifies and helps resolve performance bottlenecks in new and existing platform components.
• Effectively receives and addresses feedback on code and system designs.
• Collaborates closely with Data Scientists and other engineers to understand their needs and challenges, ensuring our platform is meeting their requirements.
• Adjusts explanations of technical concepts to varying audiences (e.g. other engineers, data scientists, or product managers).
• Clearly understands the trade-offs in technical solutions. Proactively seek clarity on priorities to ensure we're building the right things at the right time.
• Suggests process improvements for the team to enhance our quality, velocity, and overall engagement.

Requirements

• A BS or MS in Computer Science, a related technical field, or equivalent practical experience.
• 3+ years of professional software development experience.
• Proficiency in Python and familiarity with the end-to-end Machine Learning lifecycle and common Machine Learning frameworks (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow).
• Experience in common database query languages and technologies (SQL required; Snowflake, non-relational query languages optional).
• A collaborative spirit and a knack for creating maintainable and reliable software.
• Strong analytical and problem-solving skills.

Benefits

• You’ll build and improve the ML platform that powers Dave’s core products and directly shapes how millions of members access fair financial services.
• You’ll collaborate closely with data scientists, engineers, and product teams—this role has strong cross-functional impact and visibility.
• You’ll contribute to scalable, high-performance systems while learning from senior engineers and growing your technical depth in ML infrastructure.
• You’ll be part of a mission-driven company that’s using cutting-edge technology to reinvent how people manage money.