Software Engineer (ML Platform)

Location: San Francisco, CA; hybrid

Salary: $220,000–$265,000 per year

Company

hirify.global builds financial tools that help small businesses access funding, spend management, and savings products through platforms such as DoorDash, Amazon, Worldpay, and Mindbody.

What you will do

• Lead the evolution of the ML Platform for model experimentation, training, evaluation, inference, and retraining.
• Convert data science notebooks into reusable, tested libraries, pipelines, templates, and documented interfaces.
• Build SDKs, CLIs, and developer-friendly abstractions for feature definition, model training, evaluation, and deployment.
• Develop and scale low-latency real-time model serving and large-scale batch inference with scheduling, parallelism, cost controls, observability, and rollback.
• Own the feature store, including offline and online feature definitions, high-throughput access, backfills, and point-in-time correctness.
• Partner with Data Science and Platform Engineering on underwriting systems, model interfaces, SLAs, safety checks, incident response, and postmortems.

Requirements

• 5+ years of software engineering experience, including work with ML platform or MLOps systems.
• Strong Python, software design and testing fundamentals, SQL, and hands-on Spark/PySpark experience.
• Knowledge of ML fundamentals, feature engineering, model evaluation, validation, model drift, stability, and monitoring.
• Experience with AWS, Databricks, MLflow or model registries, and Airflow or equivalent orchestration.
• Experience building real-time systems and large-scale batch pipelines.
• Strong problem-solving, ownership, communication, and cross-functional collaboration skills.

Nice to have

• Experience with feature stores such as Tecton or Feast and streaming technologies such as Kafka or Kinesis.
• Fintech, risk, or underwriting systems experience, including model safety checks, rejection or override flows, and auditability.
• Experience with A/B testing platforms, shadow or canary deployments, automated rollback, and low-latency inference systems.

Culture & Benefits

• Work-from-home flexibility within a hybrid arrangement.
• Equity grant and unlimited PTO.
• Medical, dental, and vision insurance.
• 401(k), paid parental leave, commuter benefits, and an employee assistance program.
• Free lunches.