Platform Engineer, Data
AI summary of the role
Design and build scalable data infrastructure for large-scale image/video pipelines at a defense startup developing autonomous counter-drone weapon stations.
What you’ll do
- Design and develop scalable data infrastructure for organization and curation of increasing data volume and complexity.
- Design and implement approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedding-based filtering).
- Develop synthetic data generation workflows for realistic computer vision training data.
- Own end-to-end image and video pipelines: multi-source ingestion, QA, standardization, and organization.
What you’ll bring
- 3+ years of experience in data engineering or equivalent fields.
- Proficient in AWS for data management and processing.
- Proficient in Python, SQL, and Linux.
- Bachelor's or Master's degree in Computer Science or related field.
Technologies
AWS · Python · SQL · Linux · PyTorch DeepCore · Unreal Engine · computer vision · synthetic data generation · dataset versioning
About Allen Control Systems
Builds Bullfrog, an AI/computer-vision gun turret that converts legacy machine guns into autonomous counter-drone weapon stations for the US military.
Series A
Source and classification
Internal deployment & tooling · Evidence for this classification:
Allen Control Systems (ACS) is a cutting-edge defense startup founded by two ex-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 continuous learning. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact. Position Overview: We are seeking a Data Platform Engineer who combines expert-level data
More from the job description
Allen Control Systems (ACS) is a cutting-edge defense startup founded by two ex-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 continuous learning. Backed by our founders' successful exits from two previous ventures acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop have a real-world impact. Position Overview: We are seeking a Data Platform Engineer who combines expert-level data infrastructure skills with a strong knowledge of AI & Machine Learning principles. In this role, you will go beyond simple data validation scripts; you will apply your understanding of model training dynamics to design and implement existing and novel approaches to optimize our datasets. You will build and maintain large-scale image and video pipelines, but with a focus on data curation strategies—such as coreset selection, embedding-based filtering, and automated complexity scoring. You’ll partner closely [... source excerpt omitted ...] reation 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 and metadata cataloging. What You’ll Need: 3+ years of experience in data engineering or equivalent fields. Solid understanding of data structures and systems design for orchestrating data-related workflows in a rapidly growing environment. Proficient in using AWS for data management and processing. Proficient in Python for scripting and data processing; proficient with SQL and Linux. Educational Back
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