Dave · 18 hours ago
Machine Learning Platform Engineer II
Dave is seeking a passionate Machine Learning Platform Engineer to join their Engineering organization, focusing on machine learning infrastructure. The role involves building and maintaining shared infrastructure for deploying, monitoring, and operating ML models in production environments while collaborating closely with data scientists and software engineers.
BankingFinancial ServicesFinTech
Responsibilities
Write high-quality, production-ready Python code for core ML platform infrastructure, including:
In-house feature stores
Real-time model scoring services
Systems supporting the full model development and deployment lifecycle
Build and maintain infrastructure that enables safe, repeatable, and observable ML deployment into production
Improve platform reliability by writing thorough unit and integration tests and participating in thoughtful code reviews
Identify and resolve performance, scalability, and reliability bottlenecks across platform components
Partner closely with data scientists and software engineers to understand modeling workflows and translate those needs into robust platform capabilities
Review system designs, receive feedback, and iterate with long-term maintainability in mind
Communicate technical concepts clearly to different audiences, from platform engineers to data scientists and product partners
Evaluate trade-offs in infrastructure and system design, and seek clarity on priorities to ensure we’re building the right platform capabilities at the right time
Contribute ideas to improve engineering processes, code quality, and team velocity
Qualification
Required
Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience
3+ years of professional software engineering experience
Strong proficiency in Python
Familiarity with the machine learning lifecycle from an infrastructure perspective (deployment, serving, monitoring, data access)
Experience working with SQL and relational databases; familiarity with Snowflake or non-relational systems is a plus
Strong analytical and problem-solving skills, with a focus on building maintainable, reliable systems
Preferred
Experience with ML platform or MLOps tooling (feature stores, model serving, monitoring, CI/CD for ML)
Experience with real-time or streaming data systems
Exposure to workflow orchestration tools (e.g., Airflow) or large-scale data processing frameworks (e.g., Spark, Beam)
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
Company
Dave
Dave is a banking app that offers customers banking, financial insights, overdraft protection, and building credit products.
H1B Sponsorship
Dave has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (19)
2021 (11)
2020 (10)
Funding
Current Stage
Public CompanyTotal Funding
$646.3MKey Investors
FTX VenturesTiger Global ManagementVictory Park Capital
2026-01-19Undisclosed
2023-09-18Post Ipo Debt· $50M
2022-03-21Post Ipo Debt· $100M
Recent News
Crowdfund Insider
2026-01-04
Company data provided by crunchbase