Senior Software Engineer, AI Team

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. Identify, scope, and drive high-impact technical and user-facing projects across the AI team's stack .

Posted 9/18/2026full-timeNew York City • New York • United StatesSenior💰 $180,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining AI infrastructure, including data pipelines, training and evaluation systems, and perception integration. Proficient in both back-end and front-end development, with a strong focus on machine learning operations and computer vision.

Highest-signal resume keywords

Machine Learning OperationsData Pipeline DevelopmentComputer VisionReact and TypeScriptPyTorch

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Node.jsPythonC++KubernetesDockerGitHub ActionsTraining InfrastructureInference InfrastructureExperiment TrackingModel Versioning

Soft Skills

MentoringTechnical Decision-MakingCollaboration

Tools & Technologies

AI InfrastructureData Ingestion ToolsLabeling and Curation ToolingVision Pipelines

Industry Keywords

AIMachine LearningData Quality MetricsCamera Calibration

Tech Stack

Tools & technologies

DockerJavaScriptKubernetesNode.jsPythonPyTorchReactTypeScriptC++

About the role

Key responsibilities & impact

Identify, scope, and drive high-impact technical and user-facing projects across the AI team's stack
Build systems that AI models depend on, including data, training and evaluation infrastructure, perception plumbing, and product surfaces
Ship applications and APIs that expose AI capabilities to customers
Mentor and advise engineers and peers on technical and personal advancement
Drive technical decisions and implementation through hands-on, technically deep work
Own data pipelines, including teleoperation and demonstration data ingestion, labeling and curation tooling, and dataset quality metrics
Own training and evaluation infrastructure, including training pipelines, experiment tracking, GPU orchestration, model versioning, and deployment to robots
Own perception integration, including camera calibration, vision pipelines, and reliable integration of model outputs into the robot runtime

Requirements

What you’ll need

5–10 years of experience working in complex environments
Professional experience in at least one of ML Ops, data pipelines, or computer vision (strongly preferred)
Experience building training or inference infrastructure, running large-scale data ingestion and curation, or shipping a vision pipeline to production
Willingness to work approximately 70% back-end and 30% front-end, with flexibility based on projects and team needs
Breadth reaching into at least one AI-adjacent domain
Experience with React and TypeScript
Experience with Node.js, Python, and C++
Experience with PyTorch
Experience with Kubernetes, Docker, and GitHub Actions
Willingness to work 3 days per week onsite in New York City

Benefits

Comp & perks

Employee Stock Options
Paid time off
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k)