ML/AI Engineer

ML/AI Engineer — Display Systems Engineering Team | Reality Labs Hardware
Redmond WA OR Sunnyvale CA
Strong candidate remote acceptable
Pay Rate $95 per hour
Up to 24 months
 
About the Team & Role
The Display Systems Engineering Team within Reality Labs Hardware is responsible for display integration,
characterization, and system-level performance for AR glasses products. Our team develops and qualifies display
modules, and metrology systems that define the visual quality of next-generation AR experiences.
We are seeking an ML/AI Engineer (Contingent Worker) to own the data processing pipeline and develop
algorithms for identifying visual artifacts and display performance issues across our product programs. This role
sits at the intersection of machine learning, image/signal processing, and display hardware — enabling
data-driven decisions that improve display quality, yield, and reliability.
 
Responsibilities
Own end-to-end data processing pipelines for display system characterization data (sensor images,
metrology measurements, yield data) across multiple product builds
Develop ML/AI algorithms to automatically identify and classify visual artifacts, display defects, and
performance anomalies in sensor and camera data
Build automated analysis tools for disparity sensor performance evaluation, including SNR estimation,
pattern detection accuracy, and ambient cross-talk assessment
Design and implement anomaly detection models to flag display performance regressions in
manufacturing and integration test data
Create data visualization dashboards and reporting tools to communicate display quality metrics to
cross-functional hardware teams
Develop image processing algorithms for waveguide characterization — including uniformity analysis,
efficiency mapping, and defect detection
Collaborate with optical, process, and integration engineers to translate hardware requirements into
algorithmic solutions and validate model performance against ground truth
Maintain and improve data infrastructure (collection, storage, versioning, and access) supporting the
team's ML and analytics workflows
Document methodologies and contribute to team knowledge base for reproducible analysis
 
Minimum Qualifications
M.S. or Ph.D. in Electrical Engineering, Computer Science, Optical Engineering, Applied Physics, or a
related quantitative field
3+ years of experience in ML/AI algorithm development for image processing, signal processing, or
sensor data analysis
Strong proficiency in Python and experience with ML frameworks (PyTorch
Experience with image processing and computer vision techniques (feature detection, segmentation,
classification, pattern matching)
Demonstrated ability to build and maintain data processing pipelines for large-scale experimental or
manufacturing data
Experience with statistical analysis, hypothesis testing, and experimental design
Strong problem-solving skills with ability to work through ambiguous, hardware-related technical
challenges
Excellent communication skills — ability to present data-driven findings to cross-functional engineering
teams
 
Preferred Qualifications
5+ years of relevant industry experience in optics, display systems, or semiconductor/hardware
characterization
Experience with display metrology — MTF, luminance uniformity, chromaticity, contrast measurements
Familiarity with optical system modeling and ray-tracing concepts (Zemax, Code V, or equivalent)
Experience with deep learning for defect detection or anomaly classification in manufacturing contexts
Knowledge of AR/VR display technologies — waveguides, micro-LEDs, LCoS, holographic optical elements
 
Experience with sensor characterization — SNR analysis, noise modeling, dynamic range assessment
Proficiency with data visualization tools (Plotly, Matplotlib, Tableau, or Unidash)
Experience with version control (Git), collaborative development environments, and CI/CD pipelines
Familiarity with Meta's internal tools and data infrastructure is a plus
 
Must Have:
Python + PyTorch for ML/AI algorithm development
Image processing / computer vision (feature detection, segmentation,
classification, pattern matching)
Building & maintaining data processing pipelines for large-scale
experimental/manufacturing data
 
Nice to Have:
Display metrology (MTF, luminance uniformity, chromaticity, contrast)
and sensor characterization (SNR, noise modeling)
Deep learning for defect/anomaly detection in manufacturing
AR/VR display tech (waveguides, micro-LEDs, LCoS, HOEs) + viz
tools (Plotly/Matplotlib/Tableau/Unidash)
Past Meta experience is a nice to have
 
Education
Degrees/Certifications Required:  M.S. or Ph.D. in EE, CS, Optical Eng, Applied Physics, or related engineering field

#LI-SA1

Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

Equal Employment Opportunity
Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

Fair Chance Employment
Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations
We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. 

Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.