Senior Machine Learning Platform Engineer

Sr. Machine Learning Platform Engineer

Company

Dave

Conditions

6 days agoSeniorSalary: 150K - 187KUnited States Remote Full Time Devops Jobs by Dave

Dave Dave is a mobile banking app that aims to make finances easier for its users. Distributed Funding Unknown ($100T) Unknown ($210T) Unknown ($100T) Investors FTX Ventures Alameda Research corbin-capital-partners Tiger Global Wellington Management Projects Dave Wallet About Dave Dave is a mobile banking app designed to make personal finances easier. The service uses cookies, web beacons, and third-party software tools (SDKs) to enhance user experience, support account functionality, and analyze site usage for its mobile application. View jobs by Dave

Skills

Airflow Apache Beam Argocd Bigquery Bigtable Code Review Datadog Data Processing Distributed Systems Docker Fastapi Feature Store Firestore Gcp Google Cloud Storage Java Kubernetes Machine Learning Infrastructure Mentorship Ml Infrastructure Mlops Model Monitoring Model Serving Node.Js Pub/Sub Python Redis Snowflake Sql System Design Terraform Vertex Ai

About the Role

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. You'll design and scale the ML infrastructure behind core financial products, work on production systems that operate at real-world scale and directly impact members, influence technical direction while remaining a hands-on senior IC, and collaborate closely with data science and product teams without owning modeling.

Requirements

• 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
• Experience with 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 and lifecycle systems
• 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 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

• 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
• Offers Equity

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