ML/AI Developer (US Citizen)

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

Requirements

Candidates must be a US citizen and possess a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with at least 3 years of experience in machine learning development. Strong programming skills in Python and experience with machine learning frameworks such as TensorFlow or PyTorch are required, along with familiarity with edge computing concepts and embedded systems.

Responsibilities

The AI/ML Developer will own the technical relationship and successful production deployment of customer projects, collaborating closely with machine learning scientists, compilers, and embedded developers to develop and deploy ML solutions across various application areas including computer vision, audio, and Generative AI. They will also be involved in software development, infrastructure, and hardware optimizations, leveraging Latent AI products and services to assist customers in solving business challenges and accelerating product development.

Skills

Machine Learning

Edge Computing

Model Training

Model Optimization

Deployment

Systems Engineering

Electrical Engineering

Computer Engineering

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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