[Hiring] Computer Vision Engineer @GenLogs

Role Description

You will own computer-vision problems end to end from the photons entering a roadside camera to the structured vehicle intelligence delivered by our platform.

• This is not a role where you train a model, publish an evaluation, and hand it to another team to productionize.
• You will be responsible for understanding the entire system: camera placement and configuration, image quality, training data, model architecture, edge inference, production deployment, monitoring, and downstream outcomes.
• Our operating environment is unforgiving. Trucks move at highway speeds through darkness, glare, rain, snow, occlusion, extreme perspectives, and inconsistent connectivity.
• Models must run reliably on constrained edge hardware across a geographically distributed sensor network.
• Improvements that look promising offline must survive actual roadside conditions and measurably improve the intelligence our customers receive.
• You will have the autonomy to attack these problems wherever the evidence leads.
• We’re looking for someone who doesn’t stop at “the model works.” You own the outcome.

What You’ll Do

• Own computer-vision capabilities from initial problem definition through field deployment and sustained production performance.
• Build systems for vehicle detection, tracking, OCR, attribute extraction, embedding generation, and re-identification.
• Establish evaluation frameworks that connect model performance to successful vehicle identification and customer outcomes, not merely offline accuracy.
• Diagnose failures across the entire imaging pipeline, including camera placement, optics, exposure, lighting, encoding, training data, model behavior, edge compute, and downstream processing.
• Develop models and write the production software required to run them reliably at scale.
• Optimize multi-model pipelines for latency, throughput, memory utilization, and accuracy on constrained CPU and GPU edge hardware.
• Design experiments, analyze failure modes, and make clear decisions about what to improve next.
• Build monitoring and feedback loops that reveal model degradation, environmental shifts, hardware issues, and new failure modes.
• Work directly with field operations to test camera configurations and validate improvements under real roadside conditions.
• Partner with platform and data engineers while remaining accountable for getting your work into production.
• Improve annotation strategy, training datasets, and hard-example selection based on observed production failures.
• Evaluate new research, determine what is genuinely useful, and translate promising ideas into dependable systems.
• Raise the technical standard for computer vision across GenLogs through strong engineering, documentation, and mentorship.

Qualifications

• Proficient in Python, SQL, OpenCV, and PyTorch programming.
• Proficient in fundamental computer vision techniques including planar homography, keypoint detection, perspective projection, epipolar geometry, object tracking, camera calibration (intrinsic/extrinsic parameters), and re-identification.
• Knowledgeable in GPU computing and inference optimization tools including CUDA, ONNX, OpenVINO, and TensorRT.
• Knowledgeable in object detection, segmentation, optical character recognition, signal processing, linear algebra, 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 4 years of professional experience in computer vision, data science, or research.
• Hands-on experience with applied computer vision techniques, especially on edge hardware.
• 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.

Benefits

• Healthcare (US based only): Employer-covered comprehensive medical, dental, and vision plans.
• Employer contribution towards premiums of optional higher-end plans.
• Unlimited PTO.
• Sick leave.
• Company holidays (GenLogs observes all US Government holidays).
• Flexible leave for caregiving and medical needs.
• Paid parental leave.
• Budget availability for approved professional development courses, certifications, and training.
• 100% travel reimbursement for all approved company travel and spending.
• 401(k) plan (US based employees).