Plaid · 2 days ago
Senior Software Engineer - Network Enablement (Applied ML)
San Francisco, CA
Full-time
Hybrid
Senior Level
$180K/yr - $270K/yrPlaid is dedicated to empowering financial transformation by building tools and experiences for developers. The Senior Software Engineer - Network Enablement will build and operate ML infrastructure and product services to enhance trust and intelligence across Plaid’s network, focusing on feature engineering, online feature serving, and real-time inference.
BankingFinancial ServicesFinTech
Responsibilities
Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows)
Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact)
Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses
Build and operate offline training pipelines and production batch scoring for bank intelligence products
Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring
Implement model CI/CD, model/version registry, and safe rollout/rollback strategies
Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs
Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions
Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection).Ensure fairness, explainability and PII-aware handling for partner-facing ML features; maintain auditability for compliance
Partner with platform and cross-functional teams to scale the ML/data foundation (graph features, sequence embeddings, unified pipelines)
Mentor engineers and document team standards for ML productization and operations
Qualification
Required
Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred)
Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark
Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference
Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics
Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response
Preferred
Experience in fraud, risk, or marketing intelligence domains
Experience with feature-store products (Tecton / Chronon / Feast / internal) and unified pipelines
Experience with graph frameworks, graph feature engineering, or sequence embeddings
Experience optimizing inference at scale (Triton/ONNX/quantization, batching, caching)
Benefits
Medical
Dental
Vision
401(k)
Company
Plaid
Plaid develops financial technology infrastructure that enables applications to connect with users' bank accounts and financial data.
Founded in 2013
501-1000 employees
H1B Sponsorship
Plaid 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
2025 (41)
2024 (41)
2023 (42)
2022 (53)
2021 (30)
2020 (11)
Funding
Current Stage
Late StageTotal Funding
$1.31BKey Investors
Franklin TempletonAltimeter CapitalGoldman Sachs Investment Partners
2025-04-03Series Unknown· $575M
2025-04-03Secondary Market
2023-10-19Series Unknown
Leadership Team
Zachary Perret
Co-Founder & CEO
Eric Sager
COO
Recent News
Crunchbase News
2026-01-06
Index Ventures
2026-01-02
Company data provided by crunchbase