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Sr. Computer Vision / Machine Learning Engineer
Summary by AIEngineer.careers
Sr. Computer Vision / Machine Learning Engineer is a Computer Vision Engineer role (full-time). with Linux. in MOUNTAIN VIEW, US. Compensation shown: $51K–$87K (est.). Imported listing (source: remoteforge.2kool4u.net). Apply on the employer's site (remoteforge.2kool4u.net).
Imported listing (source: remoteforge.2kool4u.net) · Apply on remoteforge.2kool4u.net
MOUNTAIN VIEW · US
$51K–$87K (est.)
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from remoteforge.2kool4u.net
Corvus Robotics is hiring a Senior Computer Vision/Machine Learning Engineer to build compute-constrained models for autonomous warehouse inventory drones. The role involves developing advanced CV solutions including depth estimation, 3D scene understanding, and object detection, and deploying models to production. This is a hybrid position in Mountain View, CA, requiring 5+ years of industry experience with Python and PyTorch.
Responsibilities
- Develop solutions for advanced computer vision tasks (monocular/stereo depth estimation, structure-from-motion, 3D occupancy networks, scene understanding, object detection)
- Optimize performance, accuracy, and speed of compute-constrained models
- Collaborate across teams to deploy CV/ML models into production
- Improve ML pipelines and infrastructure for dataset management, training, and deployment
- Participate in R&D initiatives (20% of time) to experiment with state-of-the-art techniques
- Drive business value by leveraging work across robotics, software, and deployment teams
Requirements
- 5+ years of industry experience in Computer Vision / Machine Learning, Python/PyTorch
- Expertise in 2D and 3D computer vision techniques
- Proficiency with Linux, Git, AWS/GCP, and CI/CD workflows
L
Linux
San Francisco · US · 1043+ employees
The Linux Foundation is a nonprofit organization that supports open source software, standards, and collaborative technology development. It hosts and scales open source projects and ecosystems through project governance, infrastructure, research, training, certification, events, and community collaboration.
