Algorithm Engineer Full Time NEW

An automated industrial inspection startup that develops artificial intelligence and machine vision software platforms for quality control in manufacturing lines.

The company utilizes computer vision, deep learning, and advanced robotics to perform automated 3D scanning, defect detection, and quality assurance, replicating human-eye inspection via autonomous systems.

Founded by a globally recognized machine vision expert and backed by tens of millions of dollars in funding, the company serves dozens of international enterprise clients across the semiconductor, plastics, and defense aerospace industries.

The company is located in the Center District and operates on a hybrid model of one day office-based.

Key Responsibilities-

• Researching and engineering novel algorithmic solutions for automated vision-based inspection and geometric alignment.
• Training, testing, and fine-tuning deep learning models on highly complex, multi-dimensional industrial datasets.
• Optimizing inference runtime, processing speeds, and pipeline efficiency for real-time edge or cloud manufacturing environments.
• Transforming raw 3D scans and structural inputs into digital reference models for automated variance analysis.
• Interfacing algorithmic outputs with robotic kinematics and physical control parameters to ensure precise camera positioning.

Requirements-

• 6+ years of professional engineering experience designing and deploying Computer Vision algorithms (Mandatory).
• Strong domain experience training and deploying Deep Learning models in production environments (Mandatory).
• Production-grade development proficiency in Python (Mandatory).
• Practical research or development experience in at least one core domain: Object Detection, Segmentation, Classification, or Anomaly Detection (Mandatory).
• M.Sc. or Ph.D. in Computer Engineering, Electrical Engineering, Physics, Mathematics, or a related quantitative field with a strong focus on Linear Algebra or Computational Geometry (Mandatory).
• Hands-on programming experience with C++ or C# is a significant advantage.