About The Company
OneTrack accelerates Warehouse Operations through AI-powered visibility, improving workplace safety, labor productivity, and shipment quality. We think in decades, not VC-fund cycles, and we're committed to delivering real value to an industry that needs us right now. Every team member is laser-focused on growing the value of our scalable computer vision platform, expanding into new markets, industries, and use cases. We're off to a big start, and we're doing it on our terms and timelines.
About The Position
We are seeking a Computer Vision and Deep Learning Engineer with 2+ years of experience (or equivalent) in developing innovative AI solutions. The ideal candidate will excel in conducting advanced research, designing production-ready applications, and optimizing vision systems across on-premises and cloud environments. This role requires strong expertise in Python (e.g., PyTorch, OpenCV) and proficiency in scalable data processing for images, videos, and multimodal datasets.
Key Responsibilities
Conduct advanced research to develop and implement innovative computer vision and deep learning algorithms.
Optimize existing on-device and on-premises vision and deep learning software for maximum performance and efficiency.
Design and build production-ready vision and deep learning applications to meet diverse internal and external requirements.
Develop scalable systems to process, organize, and analyze large datasets, including images, videos, and IMU data.
Document research findings, system designs, and software implementations to ensure clarity and reproducibility.
Integrate, test, and deploy high-performance solutions across on-premises and cloud environments.
Collaborate with cross-functional teams in a fast-paced, dynamic environment to innovate and solve complex problems.
Requirements
Qualifications
Graduate degree, or at least 2 years of experience (or equivalent), in computer vision, deep learning, or related fields.
Strong foundational knowledge in deep learning, computer vision, data structures, algorithms, software engineering, and computer systems architecture.
In-depth understanding of the latest advancements in computer vision and deep learning technologies, and their practical applications.
Proven ability to work with raw, real-world datasets, transforming theoretical concepts into effective solutions.
Strong software development skills to design, implement, validate, and iterate on solutions efficiently.
Proficiency in Python and frameworks/libraries such as PyTorch, OpenCV, NumPy, SciPy, Scikit-learn, Pandas, Matplotlib. Experience with FastAPI, Pydantic, C/C++, and Bash are nice to have.
Excellent planning, problem-solving, and communication skills, with the ability to work independently and collaboratively in team settings.
Preferred Qualifications
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Expertise in deep learning models for images, videos, and time-series data.
Hands-on experience with large-scale image search and recommendation systems.
Proficiency in developing software for multimodal data processing.
Experience with computer vision applications for resource-constrained devices.
Familiarity with multiple-view geometry in computer vision.
Research or industry experience in autonomous driving, robotics, or VR/AR.
Proficiency in developing systems using sensors such as IMU, camera, GPS, and LIDAR.
Expertise in parallel programming, system optimization, and real-time processing.
Published research in top-tier conferences or journals (e.g., CVPR, ICCV, ECCV, NeurIPS).
Benefits
Base salary + bonus & stock options eligibility
Health insurance, dental, vision, PTO days
Flexible working hours and remote work options
Opportunities for professional growth and development
A collaborative and innovative work environment
