over 1 year ago
New York, NY, USAMid Level
Responsibilities
- Architect and build scalable, high-performance APIs for financial data and product features.
- Generate datasets and research reports using LLMs, including evaluation and fine-tuning work.
- Process large datasets with Airflow, Pandas, and Spark.
- Develop high-scale systems for crawling websites and documents.
- Manage infrastructure using Terraform, Docker, and AWS ECS, with monitoring through Sentry and CloudWatch.
- Work directly with the founders to shape the product, architecture, and engineering culture.
Requirements
- At least 2 years of experience building scalable software systems.
- Expertise in Python and SQL.
- Preferred familiarity with Airflow, Pandas, and Spark.
- Preferred familiarity with Terraform and Docker.
- A background in LLM systems and machine learning is preferred.
Benefits
- Competitive compensation and equity.
- Comprehensive medical, dental, and vision coverage.
- Flexible work environment; the team is based in NYC, values in-person collaboration, and is open to remote arrangements for exceptional talent.
- Significant influence as a founding team member over the product, culture, and company direction.
- Professional development support through courses, books, and conferences.
- Team events, offsites, and social activities.
- Unlimited PTO.
Categories
About Pear VC
Pear VC is an early-stage venture capital partnership that invests at pre-seed and seed, pairing capital with hands-on support, mentorship, and programs like its PearX accelerator for founding teams. Founded in 2013 and headquartered in Menlo Park, California, it backs software and technology startups across categories. Its portfolio includes companies that reached the public markets, such as DoorDash and Guardant Health.