Senior AI/ML Data Engineer for Vision & AR Systems

itD Tech; Redmond (WA); On-site; USD 143,270,400 - 154,291,200; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid holidays

Job summary

itD is seeking a Data Engineer (AI/ML) III to drive the development of machine learning solutions and scalable data processing pipelines that enhance AR display systems. The role requires expertise in ML, computer vision, image and signal processing, and large-scale data engineering to deliver production-ready algorithms and data-driven insights for hardware systems.

Location is on-site in Redmond, WA, with options for Sunnyvale, CA and remote within ±3 hours of Redmond time zone.

Qualifications

• MS or PhD in Electrical Engineering, Computer Science, Optical Engineering, Applied Physics, or related field.
• 3+ years of experience developing ML/AI algorithms for image processing, signal processing, or sensor data.
• Strong proficiency in Python.
• Hands-on experience with PyTorch.
• Experience with CV techniques: feature detection, segmentation, classification, pattern matching.
• Proven experience building and maintaining large-scale data processing pipelines.
• Experience with statistics, hypothesis testing, and experimental design.
• Strong understanding of anomaly detection and ML model development.
• Experience presenting technical findings to cross-functional teams.

Responsibilities

• Own end-to-end data processing pipelines for display characterization data, including sensor images, metrology measurements, and manufacturing yield data.
• Develop ML/AI algorithms to detect, classify, and analyze visual artifacts, display defects, and performance anomalies.
• Build automated analysis tools for disparity sensor evaluation, including SNR estimation, pattern detection accuracy, and ambient cross-talk assessment.
• Design and implement anomaly detection models to identify display performance regressions across manufacturing and integration testing.
• Create dashboards and visualization tools to communicate display quality metrics to hardware teams.
• Develop image processing algorithms for waveguide characterization, including uniformity analysis, efficiency mapping, and defect detection.
• Collaborate with optical/process/integration engineers to translate hardware requirements into scalable algorithmic solutions.
• Maintain and enhance data infrastructure supporting ML workflows including data collection, storage, versioning, accessibility.
• Document methodologies, validate model performance against ground truth, and contribute to reproducible engineering practices.

Skills

Machine learning

Computer vision

Python

PyTorch

Data pipelines

Anomaly detection

Model evaluation

Visualization

Education

Master's or PhD

Tools

Git

CI/CD

Plotly/Matplotlib/Tableau

Job description

itD is seeking a Data Engineer (AI/ML) III to drive the development of machine learning solutions and scalable data processing pipelines that enhance AR display systems. The role requires expertise in ML, computer vision, image and signal processing, and large-scale data engineering to deliver production-ready algorithms and data-driven insights for hardware systems.

Location is on-site in Redmond, WA, with options for Sunnyvale, CA and remote within ±3 hours of Redmond time zone.