Data Engineer III

ONSITE: Sunnyvale or Redmond

About the Role
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

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta.

The pay range that Tundra in good faith reasonably expects to pay for this position is $85/hour - $95/hour.

Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, up to 15 Days PTO per annum and a New Child Benefit.

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

The Meta CWX Program is enabled by a cutting-edge software platform called TalentNet that leads the contingent labor world for technology innovation. The software platform leverages Machine Learning and Artificial Intelligence to make sure the right people end up in the right job.

At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.

We give people the power to build community and bring the world closer together. Our products empower more than 3 billion people around the world to share ideas, offer support, and make a difference.

This posting is for a contract assignment with Tundra Technical Solutions to provide services to Meta. Please note that this is not a full-time employment opportunity. Candidates selected for this role will be engaged as contractors for the specified duration of the project. For any inquiries regarding the terms of the contract or engagement, please contact Tundra Technical Solutions directly.

Salary : $85 - $95