Computer Vision Engineer
About The Position
The Data Science team at GenLogs transforms raw observational data from the Trident sensor network into high-value intelligence used by law-enforcement agencies, regulators, ports, and private-sector freight operators. We build models, analytics, and measurement frameworks that enable vehicle detection, entity resolution, behavioral insights, fraud and theft indicators, compliance signals, and network-wide operational performance metrics. Our work sits at the center of the freight intelligence platform, shaping how billions of roadside observations become actionable information. We partner closely with Engineering and Product to deploy algorithms at scale and with Go-to-Market teams to define customer-facing analyses that drive real operational outcomes. The team blends statistical rigor, ML capability, and domain expertise to create a new standard for freight intelligence in the United States. You’re a problem solver at heart. You thrive at the intersection of engineering, math, and machine learning, and you’re motivated by questions that don’t have obvious answers. You bring a background in computer vision, data science, computer science, applied mathematics, or another hard science discipline, and you enjoy applying that technical foundation to real-world Computer Vision (CV) challenges. You are energized by ambiguity, obsessed with understanding how complex systems behave, and capable of breaking down big problems into tractable iterations. You ask great questions, validate assumptions with data, and are relentless in your pursuit of signal over noise.
Requirements
- Proficient in Python, SQL, OpenCV, and PyTroch programming.
- Knowledgeable in object detection, segmentation, optical character recognition, signal processing, linear algebra, projective geometry, and Vision Transformer models
- Experience or interest in geospatial data analysis (e.g., GIS, GeoPandas).
- Experience with version control systems like Git.
- Experience with linux systems.
- Minimum 2 years of professional experience in computer vision, data science, or research.
- Hands-on experience with applied computer vision techniques.
- Strong problem-solving skills and attention to detail.
- Excellent written and verbal communication skills.
- Ability to communicate technical concepts to both technical and non-technical stakeholders.
Responsibilities
- Define North Star metrics that measure the impact of vision model outputs.
- Conduct exploratory data analysis to find opportunities to improve metrics.
- Collaborate with field teams to optimize camera/sensor hardware.
- Implement fundamental computer vision techniques to process image data.
- Design, develop, and deploy SOTA computer vision (CV) models at scale.
- Continuously improve CV models based on performance metrics and feedback.
- Routinely review and implement the latest research literature in CV and AI
Benefits
- Healthcare (US based only)
- Employer-covered comprehensive medical, dental, and vision plans
- Employer contribution towards premiums of optional higher-end plans
- Time Off
- Unlimited PTO
- Sick leave
- Company holidays (GenLogs observes all US Government holidays)
- Flexible leave for caregiving and medical needs
- Family Support
- Paid parental leave
- Professional Development
- Budget availability for approved professional development courses, certifications, and training
- Travel Support
- 100% travel reimbursement for all approved company travel and spending
- Retirement Savings
- 401(k) plan (US based employees)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
