Full-Time

ML/AI Developer

US Citizen

Confirmed live in the last 24 hours

Latent AI

Latent AI

51-200 employees

Optimizes AI for edge computing applications

Robotics & Automation
Enterprise Software
AI & Machine Learning

Junior, Mid

No H1B Sponsorship

Princeton, NJ, USA

US Citizenship, US Top Secret Clearance Required

Category
Applied Machine Learning
Natural Language Processing (NLP)
Computer Vision
AI & Machine Learning
Required Skills
Python
Tensorflow
Keras
Pytorch
iOS/Swift
Natural Language Processing (NLP)
C/C++
Android Development
Computer Vision
Requirements
  • Strong software development skills, with proficiency in relevant languages and AI/ML frameworks (eg. Python, TF/Keras, PyTorch)
  • Hands-on programming experience (Python, C/C++, Android, iOS)
  • Solid domain knowledge (e.g. computer vision, audio, speech, NLP, robotics)
  • Highly motivated, strong communicator, with entrepreneur spirit and experience, driving projects from inception to production
  • Excellent verbal and written communication skills
  • Proven ability to multitask on several projects concurrently
  • Computer science, electrical engineering degree or related experience desirable. MS / PhD preferred.
  • Willingness to travel to customer locations (10%-30%).
  • US citizenship required for government contract work
  • DoD Clearance preferred.
Responsibilities
  • Own the technical relationship and ultimate successful production deployment of customer projects.
  • Help develop and deploy ML solutions in different application areas (e.g. computer vision, audio, NLP, Generative AI).
  • Closely collaborate with machine learning scientists, compilers and embedded developers across the company.
  • Use Latent AI products and services to help customers solve business challenges while enabling speed to market for their products and services.
  • Be involved in software development, infrastructure and hardware optimizations, data pipelining, and innovations to implement robust AI solutions for real world use cases.
  • Help evangelize our product and services, co-author white papers, build reference architectures, deliver technical seminars, speak at public events, lead customer training sessions, and co-create new products.

Latent AI focuses on enhancing artificial intelligence for edge computing, which involves processing data close to where it is generated, like on smartphones and IoT devices. Their main product is an edge MLOps workflow that automates and simplifies the deployment of AI models on these devices, ensuring they are efficient, secure, and require minimal maintenance. This company stands out from competitors by specifically targeting the edge computing market and providing a software development kit (SDK) called Latent LEIP, which aids developers in creating and deploying AI models. The goal of Latent AI is to make AI more accessible and efficient for applications that need real-time data processing, such as in autonomous vehicles and smart cities.

Company Stage

Series A

Total Funding

$21.9M

Headquarters

Menlo Park, California

Founded

2018

Growth & Insights
Headcount

6 month growth

17%

1 year growth

38%

2 year growth

68%
Simplify Jobs

Simplify's Take

What believers are saying

  • Latent AI's recognition as IoT Emerging Company of the Year and their $19M Series A funding highlight strong market validation and financial backing.
  • The company's solutions are crucial for real-time data processing in high-stakes environments like autonomous vehicles and smart cities, offering significant growth potential.
  • Their ongoing development of new modules for the LEIP platform indicates a commitment to continuous innovation and product enhancement.

What critics are saying

  • The edge AI market is still emerging, and slower adoption rates could impact Latent AI's growth trajectory.
  • Dependence on key partnerships, such as with Booz Allen Hamilton, may pose risks if these relationships falter.

What makes Latent AI unique

  • Latent AI specializes in optimizing AI for edge computing, a niche yet rapidly growing market, unlike many competitors who focus on cloud-based AI solutions.
  • Their edge MLOps workflow and Latent LEIP SDK streamline the deployment of AI models on edge devices, offering a unique value proposition in terms of efficiency and ease of use.
  • Strategic partnerships with industry leaders like Booz Allen Hamilton and Thales further validate their specialized focus and technological capabilities.

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