Machine Learning Platform Engineer II

Job not on LinkedIn

October 17

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Dave

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Fighting for the underdog – We started Dave for one reason: banks weren’t built for people like us, and we knew we deserved better.Like David slaying Goliath, we set out to take on banks and their predatory ways. Our first fight? Making overdraft fees a thing of the past by spotting members the money they needed, without charging them $38. Why? Because it’s the right thing to do.Since then, we’ve continued to bring our members the products traditional banks won't: $500 advances, fee-free goal tracking, and simple ways to find Side Hustles when you’re behind on your budget. We’ve grown a lot since we started, but one thing has never changed: We’re building products that level the financial playing field.

201 - 500 employees

📋 Description

• 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 seeks 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. • Bonus points for 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) is a plus.

🏖️ Benefits

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals • Flexible hours and virtual first work culture with a home office stipend • Premium Medical, Dental, and Vision Insurance plans • Generous paid parental and caregiver leave • 401(k) savings plan with matching contributions • Financial advisor and financial wellness support • Flexible PTO and generous company holidays, including Juneteenth and Winter Break • All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team