Standard Bots

HQ
New York
130 Total Employees
25 Product + Tech Employees
Year Founded: 2020

Standard Bots Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers company equity

Provides family medical leave

Provides fertility benefits

Offers generous parental leave

Offers Flexible Spending Account (FSA)

Offers Health Savings Account (HSA)

Offers vision insurance

Company Culture

Provides commuter benefits

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides paid holidays

Offers gym membership

Recently posted jobs

Artificial Intelligence • Productivity • Robotics • Industrial • Generative AI • Automation • Manufacturing
Designs robotic solutions with sales and customers, owns field installations including programming and validation, creates technical enablement materials, collaborates with engineering on product integrations, and develops marketing collateral. The role requires hands-on knowledge of electrical, software, and mechanical systems, industrial automation or manufacturing environments, production operations, safety standards, and customer-facing technical communication.
2 Days AgoSaved
In-Office
Philadelphia, PA, USA
Artificial Intelligence • Productivity • Robotics • Industrial • Generative AI • Automation • Manufacturing
Own end-to-end robotic integration projects, including site surveys, cell design, robot and PLC programming, safety commissioning, installation, testing, troubleshooting, documentation, and customer handoff. Integrate robots with peripheral equipment, industrial networks, vision systems, MES, and ERP platforms. Provide customer training and post-deployment support while identifying reusable designs, code libraries, and process improvements.
3 Days AgoSaved
In-Office or Remote
New York City, NY, USA
Artificial Intelligence • Productivity • Robotics • Industrial • Generative AI • Automation • Manufacturing
Develop and optimize advanced AI models, training pipelines, evaluation frameworks, and debugging systems for robotics applications. Lead rapid experimentation, model architecture development, fine-tuning, performance optimization, and interpretability efforts. Collaborate with engineering teams on training infrastructure and deployment. The role emphasizes ML planning for autonomous vehicles, diffusion and autoregressive models, reinforcement learning, and translating research into production systems.