Senior Machine Learning Platform Engineer

Dave

Senior Machine Learning Platform Engineer driving architectural decisions at fintech company focused on accessibility and affordability in financial services. Building and evolving ML platform infrastructure and guiding teams.

Posted 7/13/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $150,000 - $187,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and evolving machine learning platform infrastructure, with a strong focus on backend engineering, scalable distributed systems, and MLOps tooling. Proven ability to lead technical projects, mentor engineers, and ensure high code quality and system reliability.

Highest-signal resume keywords

Python ExpertiseCloud Environment Experience (GCP, AWS)Scalable Distributed Systems DevelopmentMLOps Tooling ExperienceSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLDistributed SystemsMLOpsFeature Store ArchitecturesWorkflow Orchestration (Airflow)Large-Scale Data Processing (Spark, Beam)Real-Time Systems DevelopmentCloud InfrastructureRelational Databases

Soft Skills

Technical Decision-MakingMentoringCommunicationCollaborationCode Review

Tools & Technologies

GCPAWSSnowflakeAirflowSparkBeam

Industry Keywords

Machine Learning InfrastructureModel DeploymentModel MonitoringData AccessEngineering Quality

Tech Stack

Tools & technologies

AirflowAWSCloudDistributed SystemsGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, and evolve core ML platform infrastructure, including feature stores, real-time model scoring services, and 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.

Requirements

What you’ll need

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.
Experience with MLOps tooling or feature store architectures is a nice to have.
Experience with workflow orchestration tools (e.g., Airflow) and large-scale data processing frameworks (e.g., Spark, Beam) is also a nice to have.
Background building data-intensive or real-time systems is a nice to have.

Benefits

Comp & perks

Premium Medical, Dental, and Vision Insurance plans
Generous paid parental and caregiver leave
401(k) savings plan with matching contributions
Flexible PTO and generous company holidays, including Juneteenth and Winter Break
Flexible hours and virtual-first work culture with a home office stipend
Financial advisor and financial wellness support
Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals
All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team