Deep Learning Software Engineer (Computer Vision)

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