Platform Engineer, Data

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.

What You’ll Do

• Design and develop a scalable data infastructure, focusing on organization and curation to support continuing increases in data volume and complexity
• Design and implement existing and novel approaches to optimize datasets for model training (e.g., hard example mining, class balancing, de-duplication, embedded-based filtering)
• Support the data infrastructure required for optimal ingestion, transformation, and storing of datasets
• Develop and use synthetic data generation workflows to create realistic synthetic training data for computer vision models
• Design and own end-to-end image and video pipelines for computer vision model training: multi-source ingestion, QA and visualization, standardization, and organization
• Capture and curate 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 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 Background

• Bachelor’s or Master’s degree in Computer Science or a related field

What We Offer

• Competitive salary
• ACS Equity Package
• Health, Dental, Vision Insurance
• Paid Time Off

About the Role

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.

Qualifications

• 5+ years of industry experience
• Experience in image/video data engineering for computer vision projects
• Experience with PyTorch DeepCore
• Experience with Unreal Engine