AI/ML Engineer III
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
Able to Sponsor
On-site
$92/hr
Akidev Corporation
Fitment
Dice Job Match Score™
🫥 Flibbertigibetting...
Job Details
Skills
- AI/ML Engineer
- Python + PyTorch
- Image processing
- computer vision
- sensor characterization
- AR/VR
Summary
Start/End Dates: 8/31/2026 - 8/30/2027
Tax Work Location: US - WA - Redmond
Job Title: Data Analytics & Engineering - Data Engineer III
Job Description: 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.
Must-Have HARD Skills (Tangible skills we can pick out on the resume)
Tax Work Location: US - WA - Redmond
Job Title: Data Analytics & Engineering - Data Engineer III
Job Description: 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.
Must-Have HARD Skills (Tangible skills we can pick out on the resume)
- 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
- Display metrology (MTF, luminance uniformity, chromaticity, contrast) and sensor characterization (SNR, noise modeling)
- Deep learning for defect/anomaly detection in manufacturing 3 AR/VR display tech (waveguides, micro-LEDs, LCoS, HOEs) + viz tools (Plotly/Matplotlib/Tableau/Unidash)
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
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
- 3+ 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
- 5+ 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 10485492
- Position Id: 26-00204
- Posted 3 hours ago
Company Info
Akidev Corporation is one of Silicon Valley’s leading technology services organizations, specializing in AI consulting, CRM Implementations, Application Integration and outsourcing services. We combine these capabilities to deliver tailored solutions that help our clients achieve their business goals efficiently.
We proudly work with some of the "The Magnificent Seven" companies as their direct partners — not tied up with layers or intermediaries. This gives our teams unique opportunities to collaborate on cutting-edge projects in AI, Full Stack, Cloud, and Mobile technologies, while ensuring our clients receive world-class service with speed and transparency.
At Akidev, people come first. Our culture is built on measurable client satisfaction and employee empowerment. Every team member contributes to delivering innovation, integrity, and excellence, making Akidev a trusted partner for global enterprises and a rewarding workplace for top talent. We believe that our deeply ingrained value system has helped us win multiple customers.
We’re continually on the lookout for outstanding talent to become part of our growing team
Create job alert
Never miss an opportunity! Create an alert based on the job you applied for.Similar Jobs
It looks like there aren't any Similar Jobs for this job yet.
Search all similar jobs