Dave · 1 day ago
Sr. Machine Learning Platform Engineer
United States
Full-time
Remote
Senior Level
5+ years expDave is a growing company looking for a passionate Senior Machine Learning Platform Engineer to join their Engineering organization. This role focuses on machine learning infrastructure, driving architectural decisions, mentoring engineers, and ensuring reliable ML operations at scale.
BankingFinancial ServicesFinTech
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
Qualification
Required
Bachelor's degree in Computer Science or a related field, or equivalent practical experience
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
Preferred
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
Benefits
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.
201-500 employees
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
Leadership Team
Jason Wilk
Founder and CEO
Joan Aristei
Chief Legal Officer
Recent News
Crowdfund Insider
2026-01-04
Company data provided by crunchbase