Computer Vision and Deep Learning Engineer

About the Company

OneTrack enables effortless logistics operations for the world's largest brands and logistics companies. We do this by deploying camera sensors and other data capture devices along with our mission control platform and AI agents across their operations. 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. Today, OneTrack is deployed in 100s of warehouses across North America working with companies like Kellanova, Ryder, Church & Dwight, ID Logistics, and many more. 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 4+ years of experience (or equivalent) in developing innovative AI solutions. The ideal candidate will excel in conducting advanced research, implementing cutting edge technology in applications, 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, implement and experiment traditional and cutting edge computer vision and deep learning algorithms.
• Design and build production-ready vision and deep learning applications to meet diverse internal and external requirements.
• Optimize existing on-device and on-premises vision and deep learning software for maximum performance and efficiency.
• 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 4 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

• Expertise in deep learning models for images, videos, and time-series data.
• Experience with computer vision applications for resource-constrained devices.
• Familiarity with multiple-view geometry in computer vision.
• Proficiency in developing software for multimodal data processing.
• Proficiency in developing systems using sensors such as IMU, camera, GPS, and LIDAR.
• Research or industry experience in autonomous driving, robotics, or VR/AR.
• Expertise in parallel programming, system optimization, and real-time processing.
• Hands-on experience with large-scale image search and recommendation systems.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• 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

Other Notes

Compensation package offerings are based on candidate experience and technical qualifications, as it relates to the role. These are identified and determined throughout your interviewing experience.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

TO ALL AGENCIES:

Please, no phone calls or emails to any employee of OneTrack outside of the Talent organization. Our policy is to only accept resumes from agencies via Workable. Agencies must have a valid services agreement executed and must have been assigned by the Talent team to a specific requisition. Any resume submitted outside of this process will be deemed the sole property of OneTrack. In the event a candidate submitted outside of this policy is hired, no fee or payment will be paid.