Parafin · 1 week ago
Senior Software Engineer, ML Platform
San Francisco, CA
Full-time
Hybrid
Senior Level
$230K/yr - $265K/yr
5+ years expParafin is on a mission to grow small businesses by providing them with financial tools through a seamless integration with existing platforms. The Senior Software Engineer will lead the evolution of the ML Platform, focusing on building reliable and scalable systems for model experimentation and deployment, while collaborating closely with Data Science and Platform Engineering teams.
FinanceFinancial ServicesFinTechSmall and Medium Businesses
Responsibilities
Turn notebooks into software. Decompose data scientist training/inference notebooks into reusable, tested components (libraries, pipelines, templates) with clear interfaces and documentation
Create developer-friendly ML abstractions. Build SDKs, CLIs, and templates that make it simple to define features, train/evaluate models, and deploy to batch or real-time targets with minimal boilerplate
Build our real-time ML inference platform. Stand up and scale low-latency model serving
Expand batch ML inference. Improve scheduling, parallelism, cost controls, observability, and failure/rollback for large-scale batch scoring and post-processing
Own and expand the feature store. Design offline/online feature definitions, high read/write throughput, and consistent offline/online semantics
Platform reliability and observability. Instrument training/inference for latency, throughput, accuracy, drift, data quality, and cost; build alerting and dashboards; drive incident response and postmortems
Underwriting infrastructure partnership. Support production batch and real-time underwriting systems in collaboration with Data Science; collaborate on model interfaces, SLAs, safety checks, and product integrations
Qualification
Required
5+ years of software engineering experience, including experience on ML platform/MLOps systems (training, deployment, and/or feature pipelines)
Strong Python; solid software design and testing fundamentals
Proficiency with SQL; hands-on Spark/PySpark experience
Knowledge of ML fundamentals—probability & statistics, supervised vs. unsupervised learning, bias/variance & regularization, feature engineering, model evaluation metrics, validation strategies, and production concerns like drift, stability, and monitoring
Expertise with modern data/ML stacks—AWS, Databricks (workflows, lakehouse, MLflow/registry, Model Serving), and Airflow (or equivalent orchestration)
Experience building real-time systems (service design, caching, rate limiting, backpressure) and batch pipelines at scale
Practical knowledge of feature-store concepts (offline/online stores, backfills, point-in-time correctness), model registries, experiment tracking, and evaluation frameworks
Strong problem-solving skills and a proactive attitude toward ownership and platform health
Excellent communication and collaboration skills, especially in cross-functional settings
Preferred
Databricks experience (MLflow, Model Serving)
Experience with feature stores (e.g., Tecton, Feast) and streaming (Kafka/Kinesis)
Experience with fintech, risk, or underwriting systems; familiarity with model safety checks, rejection/override flows, and auditability
Background with A/B testing platforms, shadow/canary deployments, and automated rollback
Experience with low-latency inference systems
Benefits
Equity grant
Medical, dental & vision insurance
Work from home flexibility
Unlimited PTO
Commuter benefits
Free lunches
Paid parental leave
401(k)
Employee assistance program
Company
Parafin
Parafin is a financial infrastructure company that offers pre-built financial services programs to support small businesses.
51-200 employees
H1B Sponsorship
Parafin 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 (6)
2024 (9)
2023 (6)
2022 (2)
2021 (3)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$562MKey Investors
Notable CapitalGICThrive Capital
2024-12-17Series C· $100M
2024-08-28Debt Financing· $93M
2024-04-10Debt Financing· $125M
Leadership Team
Sahill Poddar
Co-Founder & CEO
Vineet Goel
Co-Founder and Chief Product and Technology Officer
Recent News
2025-12-15
2025-12-09
Company data provided by crunchbase