What are the responsibilities and job description for the Data Engineer position at Allen Control Systems?
Company Overview
Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.
With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.
What You'll Do
Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.
With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact.
What You'll Do
- Design and own end-to-end image video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization.
- Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models.
- Coordinate collection of real-world data; coordinate label creation and QA with labelers.
- Develop and use data quality tooling: metrics for balance, drift, and annotation error; active-learning sampling to target gaps; feedback loops from production back to curation.
- Implement and own dataset versioning, release management, and lineage metadata cataloging.
- 3 years of experience in data engineering or equivalent fields.
- Proficient in using AWS for data management and processing.
- Proficient in Python for scripting and data processing; proficient with SQL and Linux.
- Educational Background: Bachelor’s or Master’s degree in Computer Science or a related field.
- Solid understanding of data structures and systems design for orchestrating data-related workflows.
- Proven ability to communicate well across engineering teams, and write and maintain effective documentation.
- Competitive salary
- ACS Equity Package
- Health, Dental, Vision Insurance
- Paid Time Off