Senior Computer Vision Scientist – Production ML & CV Architect

Sourceability; Austin (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Sourceability is building a Global Engineering Organization (GEO) and seeks a Principal Computer Vision Scientist to lead advanced CV and AI/ML work within GEO. You will direct research, architecture, experiments, and production readiness for CV solutions used in company products.

This senior role requires a PhD and hands‑on CV/ML expertise across research, engineering, and production systems. You’ll align with CV product groups, drive model evaluation and deployment strategies, and mentor

Qualifications

• PhD in Computer Science, Computer Vision, Machine Learning, AI, Applied Mathematics, Electrical Engineering, Robotics, or related field.
• 7+ years hands‑on ML/DL with strong CV focus.
• Strong practical experience with PyTorch and/or TensorFlow.
• Strong Python development skills.
• Experience with OpenCV, NumPy, Pandas, scikit‑learn, and modern Python ML ecosystem.
• Deep understanding of classical CV algorithms and modern DL approaches.
• Experience with object detection, segmentation, classification, feature matching, retrieval, and model evaluation.
• Experience with modern CV architectures (CNNs, Transformers, Vision Transformers, YOLO, Mask R‑CNN, CLIP‑like, SAM‑like).
• Experience bringing ML models into production; optimization for inference speed, latency, memory, scalability, reliability.
• Experience with REST APIs, Docker, CI/CD, model versioning, experiment tracking, and MLOps.
• Strong understanding of datasets, annotation processes, labeling, and error analysis.
• Ability to read/evaluate technical docs and papers in English.
• Ability to explain complex topics to mixed audiences.
• Experience working in Agile environments.
• Strong ownership, good judgment, and pragmatic decision making under uncertainty.
• Comfortable with distributed teams across locations/time zones.

Responsibilities

• Lead research, design, development, and implementation of CV and AI/ML solutions.
• Define model architecture, technical approach, experiment strategy, validation, and production readiness criteria.
• Train, fine‑tune, evaluate, optimize, and deploy models for detection, segmentation, classification, retrieval, OCR, visual search, and image understanding.
• Own the full model lifecycle: data analysis, annotation requirements, dataset quality, training, evaluation, deployment, monitoring, continuous improvement.
• Build prototypes, proofs‑of‑concepts, demos, and experiments to validate new ideas before full product use.
• Analyze model performance, diagnose failures, and propose practical improvements based on data and business needs.
• Review and improve CV pipelines for quality, inference speed, scalability, and production reliability.
• Collaborate with software engineers to integrate ML models into production apps and services.
• Define standards for evaluation, versioning, datasets, reproducibility, and MLOps.
• Evaluate research papers, open‑source models, and AI platforms for potential use.
• Provide technical guidance and mentoring to engineers working on CV/AI/ML features.
• Support planning/estimation for AI/ML work by clarifying complexity, risks, dependencies, and delivery assumptions.
• Create documentation, evaluation reports, architecture notes, and engineering recommendations.
• Partner with Product/Delivery Managers to translate business needs into AI/ML implementation plans.
• Partner with Engineering Managers/Team Leads/QA/DevOps/Data/Stakeholders to ensure production readiness.

Skills

PyTorch

TensorFlow

Python

OpenCV

NumPy

Pandas

scikit-learn

CNNs

Transformers

YOLO

Mask R-CNN

CLIP

SAM

MLOps

REST APIs

Docker

CI/CD

Git

ONNX

TensorRT

OpenVINO

TFLite

Cloud ML

Education

PhD in Computer Science / CV / ML

Tools

Docker

REST APIs

Git

CI/CD

MLOps

ONNX

TensorRT

OpenVINO

TFLite

Azure DevOps

Job description

Sourceability is building a Global Engineering Organization (GEO) and seeks a Principal Computer Vision Scientist to lead advanced CV and AI/ML work within GEO. You will direct research, architecture, experiments, and production readiness for CV solutions used in company products.

This senior role requires a PhD and hands‑on CV/ML expertise across research, engineering, and production systems. You’ll align with CV product groups, drive model evaluation and deployment strategies, and mentor