Senior Software Engineer, AI Team

About Standard Bots Standard Bot's mission is to significantly lower the barrier to entry to real-world automation, bringing the power of bits to the world of atoms and unlocking productivity for entire new industries and users. Our user-facing applications and APIs directly empower individuals and developers to jump directly into solving their challenges without the need for a background in robotics or automation. A relentless focus on simplicity and ease of use brings this revolutionary potential to new users and industries.

We're looking for a seasoned, broad software engineer to join our AI team and build the systems our models depend on. Our AI researchers push the modeling frontier; this role owns nearly everything around it — the data that goes in, the infrastructure that trains and evaluates, the perception plumbing that connects cameras to the robot, and the product surfaces that put all of it in a customer's hands. The AI team is small, so the surface area is wide and the ownership is real. You may move between adding functionality to the data ingestion pipeline, a camera calibration bug, and a customer-facing feature in the same month — and you'll decide which of those matters most this week. Location and Benefits This role is hybrid with 3 days/week onsite in our NYC office, centrally located near Grand Central Station. The office is fully equipped with robots for demos and testing!

Identify, scope, and drive high impact technical and user facing projects across the AI team's stack Ship the product surfaces that expose AI capabilities to users — the applications and APIs customers actually touch Mentor and advise other engineers as well as peers on technical and personal advancement Drive technical decision making and implementation through hands-on and technically deep work Plus ownership of one or more of these, depending on where your experience is strongest: Data pipelines: the flywheel for end-to-end AI — ingestion of teleop and demonstration data, labeling and curation tooling, dataset quality metrics Training and evaluation infrastructure: training pipelines, experiment tracking, GPU orchestration, model versioning, and deployment out to robots Perception integration: camera calibration, vision pipelines, and getting model outputs into the robot runtime reliably Tech Stack Front-end: React, TypeScript Back-end: Node.js, Python, C++ ML: PyTorch Kubernetes Docker GitHub Actions Who You Are We do not require a background in robotics. We're looking for engineers who are self driven, optimistic, creative, and resourceful. We have no requirements for a background in robotics, but find most success with engineers excited by the domain and looking to apply their expertise and experience in a new area. Our ideal candidate will be open to doing approximately 70% back-end and 30% front-end work with flexibility to sway more towards one or the other, depending on current projects and team needs. This is a generalist role first — but on the AI team, so we're looking for someone whose breadth already reaches into at least one AI-adjacent domain.

You'll Bring Experience: You have a strong technical background, including 5-10 years of experience working in complex environments AI-adjacent depth (strongly preferred): You have professional experience in at least one of ML Ops, data pipelines, or computer vision — for example building training or inference infrastructure, running large-scale data ingestion and curation, or shipping a vision pipeline to production. You don't need to have trained the models yourself. Growth + Optimism: You are excited by new domains and challenges, and eager to pick up new context to accelerate your impact Clarity of Communication: You excel in written and verbal communication and enjoy leveraging your skills to support your peers Impact Driven: You relentlessly seek user impact and value execution over technical idealism Proactive Simplicity: