As Founding Research Engineer, you will lead applied research to automate the processing of egocentric video data for robotics. You’ll build the infrastructure for action segmentation, pose estimation, and 3D reconstruction, turning chaotic wrist and head-camera footage into structured datasets that enable world-class model training at scale.
Founding Research Engineer at Hyphenbox
Hyphenbox is a YC W25 seed-stage startup tackling the biggest bottleneck in physical AI: the data problem. As Founding Research Engineer, you’ll build the infrastructure that turns raw egocentric video into training-ready datasets for robots. This isn’t just research—it’s about shipping action segmentation and 3D reconstruction models that work in the real world. Based in Bangalore, you'll join a high-velocity team where you can read a paper on Monday and have it in production by Friday. If you want to define how the next generation of robots learns from the world, this is your chance to lead from day one with meaningful equity.
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Location
Bangalore, India
Compensation
Not Disclosed + Equity
Company
Hyphenbox
Role overview
Software
Accelerate your computer vision pipeline with automated pre-labeling. Hyphenbox turns days of manual annotation into minutes of review for both images and video.
What you will do
- Develop and deploy applied research models for action segmentation, 2D to 3D reconstruction, and pose estimation using egocentric video streams.
- Optimize Vision Language Models (VLMs) and automated annotation tools to make raw sensor data usable for large-scale robotics training.
- Collaborate directly with the founders to design and build scalable data pipelines that transform how physical AI teams handle video data.
Who this is a fit for
- Possesses research-level intelligence with the ability to implement papers into working code within days rather than months.
- Demonstrates a strong background in computer vision, 3D reconstruction, or robotics, with a drive to master the domain’s specific challenges.
- Thrives in a fast-paced startup environment where ownership, execution speed, and raw problem-solving ability are prioritized over years of experience.
Why this role is remarkable
- Join as a founding team member of a YC W25 startup, gaining massive ownership and shaping the technical foundation of physical AI infrastructure.
- Solve the “data bottleneck” in robotics by building automated pipelines for pre-labeling and annotation that currently slow down the entire industry.
- Work in a high-intensity environment in Bangalore where you bridge the gap between cutting-edge research papers and production-ready robotic vision systems.
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