Oxipital AI

HQ
Bedford
108 Total Employees
Year Founded: 2024

Oxipital AI Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers accidental death & dismemberment insurance

Offers disability insurance

Offers occupational accident insurance

Offers company equity

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers dependent care

Provides family medical leave

Offers generous parental leave

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides military leave

Provides paid holidays

Provides bereavement leave

Offers unpaid extended leave

Company Culture

Utilizes a flexible work schedule

Offers a remote work program

Office is pet friendly

Offers legal assistance

Provides free snacks and drinks

Career Growth + Development

Job training & conferences

Recently posted jobs

2 Days AgoSaved
In-Office
Bedford, MA, USA
Artificial Intelligence • Robotics • Automation
Build and maintain AWS-based machine learning platform infrastructure supporting model training, evaluation, deployment, annotation, and multi-tenant data management. Develop full-stack tools, optimize deep learning models for training and inference, implement containerized CI/CD workflows, and improve cloud cost efficiency. The role focuses on vision-based machine learning, edge deployment, serverless architecture, and scalable production pipelines while collaborating with machine learning scientists and cloud engineering teams.
2 Days AgoSaved
In-Office
Bedford, MA, USA
Artificial Intelligence • Robotics • Automation
Develop and optimize deep learning models for computer vision applications, focusing on neural network architecture, training, inference optimization, and production deployment. Build tools and infrastructure for model training, evaluation, and deployment in Linux and cloud environments. Research emerging machine learning techniques, integrate them into products, and collaborate with software engineers on customer-focused projects throughout the product lifecycle.