Effortless Logistics Operations
About the Company
OneTrack powers logistics operations for some of the world’s largest brands by deploying camera sensors, data capture devices, AI agents, and a mission control platform across their facilities. The company is building a scalable computer vision platform that transforms warehouse and supply chain operations, enabling smarter and more efficient workflows. Today, OneTrack is active in hundreds of warehouses across North America, partnering with companies such as Kellanova, Ryder, Church & Dwight, and ID Logistics. With a long-term vision beyond traditional venture timelines, OneTrack is committed to creating sustainable value and redefining logistics through AI-driven solutions.
About the Role
The Computer Vision & Deep Learning Engineer will drive innovation by designing, implementing, and optimizing advanced AI systems across cloud and on-premises environments. The role requires expertise in computer vision, deep learning, and scalable data processing for multimodal datasets. The engineer will transform research into production-ready applications, improve system performance, and collaborate with cross-functional teams to solve complex challenges that impact global logistics operations.
Responsibilities
- Research, design, and experiment with cutting-edge computer vision and deep learning algorithms.
- Build production-ready applications to meet diverse business requirements.
- Optimize existing CV and deep learning software for maximum efficiency.
- Develop scalable systems for large datasets, including images, videos, and sensor data (IMU, GPS, etc.).
- Document research findings, system architectures, and implementations.
- Deploy high-performance solutions across both on-premises and cloud environments.
- Collaborate closely with hardware, product, and engineering teams to accelerate innovation.
Required Skills
- Graduate degree or 4+ years of professional experience in computer vision, deep learning, or related fields.
- Strong foundation in deep learning, computer vision, algorithms, and systems architecture.
- Expertise in Python with frameworks such as PyTorch, OpenCV, NumPy, SciPy, Pandas, Scikit-learn.
- Experience working with raw, real-world datasets to create practical solutions.
- Strong software development skills and ability to optimize solutions efficiently.
- Excellent problem-solving, planning, and communication skills.
Preferred Qualifications
- Advanced expertise in image, video, and time-series deep learning models.
- Experience with computer vision on resource-constrained devices.
- Familiarity with multi-view geometry and multimodal data processing.
- Experience with robotics, autonomous systems, or VR/AR.
- Proficiency with additional tools: FastAPI, Pydantic, C/C++, Bash.
- Cloud experience with AWS, Azure, or Google Cloud.
- Publications in leading conferences/journals (CVPR, ICCV, ECCV, NeurIPS).
Compensation and Benefits
- Competitive base salary, bonus eligibility, and stock options.
- Comprehensive health, dental, and vision insurance.
- Paid time off with flexible hours and remote work opportunities.
- Professional growth and development opportunities.
- Collaborative, innovative, and mission-driven work culture.