GenLogs is a transportation-technology company building the next generation of truck intelligence. Through a nationwide network of sensors and proprietary data, we deliver real-time, high-fidelity insights into freight movement for commercial supply-chain customers and public-sector agencies. Our mission is to strengthen America’s logistics backbone, combat freight fraud and cargo theft, and provide near-instantaneous visibility into commercial motor vehicle activity across major freight corridors. By operating at the intersection of edge sensing, computer vision, AI-driven analytics, and large-scale field deployment, GenLogs is transforming how transportation data is captured, secured, and commercialized.

ABOUT THE DATA TEAM

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.

ABOUT THE JOB

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.

WHAT YOU’LL DO

1. Define North Star metrics that measure the impact of vision model outputs. 
2. Conduct exploratory data analysis to find opportunities to improve metrics.
3. Collaborate with field teams to optimize camera/sensor hardware.
4. Implement fundamental computer vision techniques to process image data.
5. Design, develop, and deploy SOTA computer vision (CV) models at scale.
6. Continuously improve CV models based on performance metrics and feedback.
7. Routinely review and implement the latest research literature in CV and AI

QUALIFICATIONS

• Technical Skills:
• • 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.
• Experience:
• • Minimum 2 years of professional experience in computer vision, data science, or research.
  • Hands-on experience with applied computer vision techniques.
• Soft Skills:
• • 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.

WHO WILL SUCCEED HERE

You will love this role if you are:

• Relentlessly curious — you ask “why?” repeatedly until you reach the root
• Technically fearless — not afraid to dive into large datasets, new ML techniques, or unfamiliar codebases
• Impact-driven — you want your models to power real, high-stakes decisions in a massive industry
• Comfortable with ambiguity — our data is large, messy, and evolving, and that excites you
• Collaborative — you enjoy working with engineers, data teams, and product stakeholders to deliver real customer value

US SALARY RANGE

GenLogs establishes compensation based on role, level, experience, and location. Salary bands are benchmarked against high-growth technology companies and adjusted for market conditions. Equity grants are included in most full-time offers to ensure every team member participates in the company’s long-term value creation. A recruiter will provide a precise range during the hiring process.

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)

A recruiter can provide more detail about the specific compensation and benefits associated with this role.