Sr. Machine Learning Platform Engineer

Dave

9d • Remote

About The Position

Our team is growing, and we’re ready to bring in a passionate Senior Machine Learning Platform Engineer to our Engineering organization. This is a senior individual contributor role focused on machine learning infrastructure.
You’ll lead technical efforts on the platform and systems that allow machine learning models to be deployed, operated, and trusted in real-world, member-facing environments.
As a Senior Engineer on the Machine Learning Platform Engineering team, you’ll drive architectural decisions, set technical standards, and mentor other engineers while remaining hands-on in the codebase.

Requirements

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. Advanced degrees are a plus.
• 5+ years of professional software engineering experience, with a focus on backend, platform, or infrastructure engineering.
• Deep expertise in Python; proficiency in an additional language is a plus.
• Strong experience building or operating scalable, high-availability distributed systems in a cloud environment (GCP, AWS).
• Experience working with ML systems from an infrastructure perspective, including deployment, serving, monitoring, and data access.
• Proficiency with SQL and relational databases; familiarity with Snowflake or non-relational systems is a plus.
• Experience leading complex technical projects from design through production.

Nice To Haves

• Experience with ML platforms, MLOps tooling, or feature store architectures.
• Experience with workflow orchestration tools (e.g., Airflow) and large-scale data processing frameworks (e.g., Spark, Beam).
• Background building data-intensive or real-time systems.

Responsibilities

• Design, build, and evolve core ML platform infrastructure, including: Feature stores Real-time model scoring services Systems supporting the full model development, deployment, and monitoring lifecycle
• Drive technical decision-making for complex initiatives, choosing solutions that scale, are testable, and reduce long-term maintenance burden.
• Lead and influence system design discussions, clearly articulating trade-offs and aligning solutions with product and business goals.
• Set a high bar for code quality and system reliability through exemplary contributions and thoughtful, constructive code reviews.
• Identify, communicate, and mitigate technical risks across platform components before they impact members.
• Partner closely with data scientists, engineers, and product stakeholders to translate modeling and business needs into durable platform capabilities.
• Provide clear, reliable estimates for complex projects, including assumptions, risks, and dependencies.
• Improve team processes, tooling, and standards to increase engineering quality and delivery velocity.
• Mentor and support other engineers through design feedback, code reviews, and onboarding.
• Participate in hiring and interviews, helping raise the technical bar through well-calibrated feedback.

Benefits

• Competitive compensation, meaningful equity in a public company (NASDAQ: DAVE), comprehensive benefits, and flexible PTO.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees