Machine Learning Associate

Augmodo

5d

About The Position

Augmodo is at the forefront of spatial computing, using AI and wearable technology to transform physical retail spaces into dynamic digital environments. Our wearable devices capture real-time 3D mapping and inventory data, empowering retail teams to work smarter while giving businesses unprecedented visibility into their physical operations.
Role Overview
We are looking for an agile, early-career Machine Learning Associate to join our distributed team. This is a critical, high-impact role focused on the "front lines" of our machine learning pipeline. You will bridge the gap between raw data collection and model performance, specifically supporting our new pilot programs with major retailers.
Unlike a traditional data science role, this position is hands-on and "non-typical." You will be the primary owner of data curation, validation, and synthetic data generation, building the custom tooling necessary to pivot quickly to meet changing customer demands.

Requirements

• Education: Bachelor’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
• Experience: 0–1 years of professional experience in Machine Learning (this is an early-career role; recent graduates are encouraged to apply).
• Technical Proficiency:
• Solid foundational knowledge of Python (via degree or projects).
• Familiarity with SQL and light database management.
• Comfort using AI-assisted coding tools (e.g., GitHub Copilot) to accelerate development.
• Basic understanding of Generative AI for image creation/synthetic data.

Responsibilities

• Data Curation & Validation: Own the end-to-peer validation for existing algorithms. You will visually validate data from "cart collects" for accuracy (e.g., verifying aisle and product types) and curate training examples to improve model performance.
• Synthetic Data Generation: Utilize AI generative algorithms to create diversified training images (e.g., simulating low/high stock levels for produce inventory) to supplement real-world data.
• Ad Hoc Tooling & Scripting: Set up tooling and scripts to handle data needs that fall outside of standard platforms. You will leverage AI-assisted code generation tools to build these utilities rapidly.
• Algorithm Optimization: Establish a semi-automated process to identify and leverage "failure cases" from human-in-the-loop reviews, using these insights to boost algorithm accuracy.
• Accuracy Analysis: Take over "Accuracy Visit Analyses," comparing system production output against ground truth to determine recall rates and identify systemic tooling issues.
• Log Parsing & Metrics: Develop and maintain simple scripts to parse system logs, providing insights into the health of deployments at new retail locations.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level