Dave is looking for a Machine Learning Platform Engineer II to design and develop the infrastructure responsible for operationalizing Machine Learning at Dave, aiming to level the financial playing field for their members.
Requirements
- 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).
- Experience with MLOps tools, real-time data processing / streaming systems, or feature stores.
- Experience with workflow orchestration tools (e.g., Airflow) and large-scale data processing frameworks (e.g., Spark, Beam).
- Kubernetes & Docker
- Terraform
- ArgoCD
Responsibilities
- 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.
Other
- 3+ years of professional software development experience.
- A collaborative spirit and a knack for creating maintainable and reliable software.
- Strong analytical and problem-solving skills.
- As a virtual first company, team members can live and work anywhere in the United States, with the exception of Hawaii.
- Don’t let imposter syndrome get in your way of an incredible opportunity.
