TL;DR
Software Engineer, Data Platform (AI): Building and integrating infrastructure and tools for hirify.global's analytics and machine learning platforms with an accent on the data science development lifecycle. Focus on building reliable, scalable systems that accelerate AI and machine learning model development in partnership with applied scientists and risk engineers.
Location: Must be based in or be able to relocate to NYC or SF
Compensation: $168,000–$324,500
Company
hirify.global is a financial operations platform that combines payments, corporate cards, procurement, and automated bookkeeping with built-in intelligence to help businesses save time and money.
What you will do
- Build and integrate components of the Analytics and Machine Learning platforms.
- Develop tools to improve the agility and data experience for applied scientists and engineers.
- Collaborate with cross-functional teams on building and productionizing ML applications.
- Design reliable, scalable, and cost-efficient systems across the infrastructure stack.
Requirements
- Strong proficiency in Python.
- Experience with workflow orchestrators such as Airflow, Dagster, or Prefect.
- Experience building infrastructure on AWS, GCP, or Azure.
- Knowledge of SQL and experience with databases like Snowflake, Redshift, or BigQuery.
- Intuition for analytics and machine learning workflows.
- Must be based in or willing to relocate to New York or San Francisco.
Nice to have
- Expertise with AWS and Terraform.
- Experience building online ML systems or feature stores.
- Experience with Datadog and streaming systems.
Culture & Benefits
- 100% coverage for medical, dental, and vision insurance.
- 401k plan with employer matching.
- Flexible PTO and parental leave.
- Health and Wellness stipend and One Medical membership.
- In-office perks including catered lunches and snacks.
- Budget for intra-office travel and home-office equipment.
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