Senior Computer Vision Engineer, Egocentric

Stord

Senior Computer Vision Engineer building the technical foundation for AI data platforms at Stord. Designing and developing computer vision systems that transform real-world environments into high-quality training data.

Posted 7/25/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and deploying computer vision and perception systems, with a strong focus on egocentric vision and multimodal datasets. Proficient in Python and C++, with a solid understanding of data quality standards and evaluation methodologies.

Highest-signal resume keywords

Computer Vision FundamentalsEgocentric Vision DevelopmentModel Optimization and DeploymentLarge-Scale Video DatasetsPerception System Design

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Object DetectionSegmentationDepth Estimation3D ReconstructionPose EstimationCamera CalibrationCNNsVision TransformersPythonC++

Soft Skills

MentoringTechnical Direction Influence

Tools & Technologies

Vision PipelinesData Capture SystemsAnnotation WorkflowsPerception Rigs

Industry Keywords

Embodied AIRobotics PerceptionAutonomous SystemsAI Data PlatformsData Quality Standards

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own the early computer vision and egocentric perception stack — including data capture systems, vision pipelines, model development, and the infrastructure required to deliver high-quality datasets at scale.
Work closely with a small, highly technical team to define the architecture, build the systems, and establish the technical standards for Stord’s Embodied AI data platform.
Define and evolve Stord’s Embodied AI data products across quality tiers — from RGB egocentric video to depth-enhanced and multimodal datasets with hand pose, body pose, and rich annotations.
Establish data quality standards and evaluation frameworks to ensure datasets meet production-level requirements.
Design and develop perception systems including: Object detection, tracking, and segmentation; Depth estimation and 3D reconstruction; 6DoF pose estimation; Multi-view 3D hand and body pose estimation; Egocentric and fixed-camera perception systems.
Own the Hardware + Vision Integration - Design and deploy camera systems and perception rigs across warehouse environments.
Develop solutions for deriving accurate spatial understanding from multimodal sensor inputs and video data.
Build VLM-assisted and automated annotation workflows with human-in-the-loop quality systems.
Train, optimize, and deploy models - Design, fine-tune, evaluate, and optimize computer vision and multimodal models on large-scale video datasets.

Requirements

What you’ll need

8+ years of experience building and shipping production computer vision or perception systems (or an MS/PhD in Computer Vision, Machine Learning, Robotics, or a related field with 6+ years of hands-on industry experience).
Experience building perception systems that operate on real-world, imperfect data — beyond academic benchmarks.
Demonstrated experience developing or scaling egocentric vision, robotics perception, autonomous systems, or AI data platforms.
Deep expertise in computer vision fundamentals and modern tooling, including: CNNs and vision transformers, Object detection, segmentation, and tracking, Depth estimation and 3D vision, 2D/3D pose estimation, Camera calibration and geometric computer vision.
Experience owning complex perception problems end-to-end — from data collection and model development through evaluation, optimization, and deployment.
Strong understanding of large-scale video and multimodal datasets, including data quality measurement and evaluation methodologies.
Experience taking ambiguous, 0→1 technical challenges and turning them into scalable systems with limited resources.
Ability to influence technical direction, establish engineering standards, and mentor other engineers.
Expert-level Python skills and strong software engineering fundamentals; C++ experience where performance requirements demand it.

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities