Data Engineer (AI/ML) III - 6253

Responsibilities

• Own end-to-end data processing pipelines for display characterization data, including sensor images, metrology measurements, and manufacturing yield data.
• Develop machine learning and 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.
• Create anomaly detection models to identify display performance regressions across manufacturing and integration testing.
• Create dashboards and visualization tools to communicate display quality metrics and engineering insights to cross-functional hardware teams.
• Develop image processing algorithms for waveguide characterization, including uniformity analysis, efficiency mapping, and defect detection.
• Collaborate closely with optical, process, and integration engineers to translate hardware requirements into scalable algorithmic solutions.
• Maintain and enhance data infrastructure supporting machine learning workflows, including data collection, storage, versioning, and accessibility.
• Document methodologies, validate model performance against ground truth, and contribute to reproducible engineering practices.

Required Qualifications And Skills

• M.S. or Ph.D. in Electrical Engineering, Computer Science, Optical Engineering, Applied Physics, or a related quantitative field.
• 3+ years of experience developing ML/AI algorithms for image processing, signal processing, or sensor data analysis.
• Strong proficiency in Python.
• Hands-on experience with PyTorch.
• Experience with computer vision techniques including feature detection, segmentation, classification, and pattern matching.
• Proven experience building and maintaining large-scale data processing pipelines for experimental or manufacturing data.
• Experience with statistical analysis, hypothesis testing, and experimental design.
• Strong understanding of anomaly detection and machine learning model development.
• Experience presenting technical findings to cross-functional engineering teams.

Preferred Qualifications And Skills

• 5+ years of industry experience in optics, display systems, semiconductor manufacturing, or hardware characterization.
• Knowledge of sensor characterization including SNR analysis, noise modeling, and dynamic range assessment.
• Experience developing deep learning models for defect detection or anomaly classification in manufacturing environments.
• Familiarity with AR/VR display technologies including waveguides, micro-LEDs, LCoS, and holographic optical elements.
• Experience with optical system modeling or ray-tracing concepts.
• Experience with data visualization tools such as Plotly, Matplotlib, or Tableau.
• Experience using Git and CI/CD pipelines in collaborative development environments.
• Previous experience supporting Reality Labs, Meta, or similar hardware-focused organizations.

Pay

$50 - $54 per hour, depending on experience.

Schedule

Duration: 12 months

Benefits

We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.