ML Data Engineer

Posted 3 Days Ago
2 Locations
Remote
155K-210K
Senior level
Information Technology
Building Spatial AI for commerce. Tracking every product in every store realtime using passive associate Smartbadges.
The Role
The ML Data Engineer will manage the entire data lifecycle for ML and CV development, evaluate ML models, and develop CI/CD for ML data pipelines.
Summary Generated by Built In

Augmodo is at the forefront of spatial computing, where mapping connects the digital and physical worlds. As a ML Data Engineer, you will play the key role in owning the entire lifecycle of data used for ML and CV development. Working with CV engineers, you will develop the ML model evaluation and testing process and criteria that gate model deployment; you will partner with ML infrastructure engineers to develop the continuous ML data pipeline and tooling that serves tens of thousands of stores worldwide.

Roles & Responsibilities

  • Own the end to end data lifecycle for large scale computer vision and ML development: from defining, collecting, curating, updating, cataloging to versioning.

  • Define and own ML model evaluation (methodology & tooling) for both development and production.

  • Partner with ML infrastructure engineers to define and develop ML CI/CD.

  • Collect, manage, analyze and visualize large scale data sets using data platforms, tools and techniques.

  • Analyze evaluation and performance data to extract meaningful insights to improve AI models.

Experience & Qualifications

  • Expertise in end to end data development, model evaluation and performance analytics for deep learning and ML

  • Strong in Python and SQL

  • Solid in analysis and comfortable building for data analytics tooling and visualization - that is, comfortable outside notebooks and Jupyter to be proficient in using Python and data tooling to realize system and tooling supporting data management

  • Strong communication and teamwork skills.

  • 5 years of experience in data science or related roles

  • Bachelor in Computer Science, Mathematics, Statistics, or a related field.

Preferred Skills

  • Master's degree or PhD in Computer Science, Mathematics, Statistics or a related technical field.

  • Experience developing analytics, evaluation and visualization for petabyte-scale, real-time data processing pipelines and products.

  • Experience with DevOps tools such as Git, CI/CD, and/or Docker

$155,000 - $210,000 USD + Equity

Additional Information

At this time, we are unable to provide work authorization or visa sponsorship. To be considered for a role at Augmodo, you must be currently authorized to work in the USA, Canada, or the UK without the need for sponsorship now or in the future.

Augmodo provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Augmodo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company hires. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.

Augmodo expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Augmodo's employees to perform their job duties may result in discipline up to and including discharge.

Top Skills

Ci/Cd
Docker
Git
Python
SQL
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The Company
HQ: Seattle, Washington
33 Employees

What We Do

Spatial AI for commerce

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