ML/AI Developer (US Citizen) at Latent AI

Princeton, New Jersey, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Edge Computing, Software Development, Defense and AerospaceIndustries

Skills

Key technologies and capabilities for this role

Machine LearningAIEdge ComputingModel TrainingModel OptimizationDeploymentSystems EngineeringElectrical EngineeringComputer Engineering

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this role?

This information is not specified in the job description.

What skills are required for the ML/AI Developer role?

The role requires skills in machine learning engineering, particularly for edge systems, with experience in areas like computer vision, audio, NLP, and Generative AI, along with software development.

What is the company culture like at Latent AI?

Latent AI has a diverse, ambitious team of scientists, engineers, entrepreneurs, and visionaries who value mentorship, personal and professional growth, collaboration, and thinking big.

What makes a strong candidate for this position?

Strong candidates are engineers excited about using machine learning for edge systems to solve real-world problems, with a mix of electrical, computer, systems, and ML engineering skills, and a willingness to collaborate across teams.

Latent AI

Optimizes AI for edge computing applications

About Latent AI

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.

Menlo Park, CaliforniaHeadquarters

2018Year Founded

$21.9MTotal Funding

SERIES_ACompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Risks

Competition from tech giants like Google and Amazon threatens Latent AI's market share.

Rapid AI advancements may outpace Latent AI's current capabilities, requiring continuous innovation.

Dependency on key partnerships, like Booz Allen, poses risks if relationships change.

Differentiation

Latent AI specializes in optimizing AI for edge computing applications.

Their edge MLOps workflow ensures efficient, secure AI model deployment on edge devices.

Latent AI's SDK, Latent LEIP, streamlines AI model creation and deployment for developers.

Upsides

Growing interest in federated learning enhances privacy and efficiency for edge AI.

The rise of TinyML aligns with Latent AI's focus on resource-constrained edge devices.

5G technology adoption boosts data transmission speed for Latent AI's solutions.

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