Senior Machine Learning Platform Engineer

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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

• Drives technical decisions for tasks, choosing solutions that are scalable, easily testable, and reduce tech debt. • Influences the team to maintain high standards for code quality and system reliability through exemplary code and constructive, insightful code reviews. • Uses code reviews as an opportunity to coach and mentor other engineers on the team. • Exhibits a deep understanding of the Machine Learning Platform, its architecture, and codebase. • Proactively identifies and communicates technical risks and issues within our systems. • Provides reliable engineering estimates with clear assumptions for complex projects and epics. • Leads technical design discussions, collaborating with other engineers and stakeholders to evaluate trade-offs between different solutions. You seek to deeply understand the "why" behind product and roadmap decisions. • Actively works to improve team processes to boost quality and velocity. • Proactively communicates project status, dependencies, and relevant information across squads. • Helps onboard new team members, getting them up to speed on our systems and best practices. • Participates in interviewing and helps us raise the bar by providing thoughtful, well-calibrated feedback on candidates.

🎯 Requirements

• BS in Computer Science, related technical field or equivalent practical experience. MS or PhD in Computer Science or Machine Learning is a plus. • 5+ years of professional software development experience, with a focus on backend or infrastructure engineering. Experience building or operating large-scale, high-availability distributed systems is a plus. • Deep expertise in Python and familiarity with the end-to-end Machine Learning lifecycle and common Machine Learning frameworks (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Proficiency in another programming language is a plus. • Proven experience building scalable, high-performing distributed systems in a cloud environment (GCP, AWS). • Experience with workflow orchestration tools (e.g., Airflow) and large-scale data processing frameworks (e.g., Spark, Beam). • Proficiency in common database query languages and technologies (SQL required; Snowflake, non-relational query languages optional). • Experience leading complex technical projects from ideation to production. • A strong ability to collaborate and a penchant for architecting maintainable, reliable, and well-documented solutions. • Experience with MLOps, productionizing machine learning models, or building data-intensive applications 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