Full-Time

ML Systems Engineer

Confirmed live in the last 24 hours

Latent AI

Latent AI

11-50 employees

Edge MLOps pipeline for neural networks

Data & Analytics
AI & Machine Learning

Mid

Princeton, NJ, USA

Required Skills
Bash
Kubernetes
Python
Management
Docker
Quality Assurance (QA)
Ansible
Development Operations (DevOps)
Linux/Unix
Requirements
  • Bachelor's degree in Computer Science, Information Technology, or related field
  • Proven experience in IT role with focus on AI or machine learning projects
  • Proficiency in Python and Bash scripting languages
  • Solid understanding of Linux system management (Ubuntu, RedHat)
  • Experience with Ansible and Out-Of-Bands Server Management
  • Familiarity with Docker and Kubernetes
  • US Citizen with ability to get security clearance
Responsibilities
  • Building and maintaining NVIDIA and other based artificial intelligence platforms
  • Planning, building, and maintaining new systems supporting Latent AI DevOps flow
  • Maintaining supported software configurations and dependencies
  • Automating configuration management, monitoring, and software updates using DevOps tools
  • Supporting QA and performance test integration with hardware farm
  • Implementing and maintaining system monitoring and logging solutions
  • Collaborating on AI model deployment strategies
  • Staying updated on advancements in embedded platforms

Latent AI, Inc. is an excellent workplace for those interested in cutting-edge machine learning operations. The company specializes in developing advanced MLOps pipelines tailored for edge devices, enhancing neural networks’ efficiency, security, and scalability. This focus on practical, transparent workflows and optimized model deployment cultivates a dynamic, technically enriching environment that stands out in the AI industry.

Company Stage

Series A

Total Funding

$25.5M

Headquarters

Menlo Park, California

Founded

2018

Growth & Insights
Headcount

6 month growth

6%

1 year growth

9%

2 year growth

41%