Data Engineer (AI/ML) III
itD is seeking a Data Engineer (AI/ML) III to drive the development of machine learning solutions and scalable data processing pipelines that enhance the visual quality, performance, and reliability of next-generation AR display systems within Reality Labs Hardware. The ideal candidate will bring deep expertise in machine learning, computer vision, image and signal processing, and large-scale data engineering, along with a proven track record of delivering production-ready ML algorithms, automated analytics pipelines, and data-driven insights for hardware systems.
Location: On-site in Redmond, WA. Candidates may also be based in Sunnyvale, CA. Strong remote candidates will be considered if located within ±3 hours of the Redmond, WA time zone.
Pay Rate: $50 - $54 per hour, depending on experience.
Duration: 12 months
We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.
Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.
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.
- 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 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.
Internal Responsibilities
- Attend regular internal practice community meetings.
- Collaborate with your itD practice team on industry thought leadership.
- Complete client case studies and learning material (blogs, media material).
- Build out material to contribute to the Digital Transformation practice.
- Attend internal itD networking events (in person and virtual).
- Work with leadership on career fast-track opportunities.
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.
- Experience with display metrology including MTF, luminance uniformity, chromaticity, and contrast measurements.
- 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.
Education
- Master's or Ph.D. in Electrical Engineering, Computer Science, Optical Engineering, Applied Physics, or a closely related engineering discipline.
Company Description
About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints.
The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at [email protected] and let us know the nature of your request and your contact information.
Additional Info
Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!
Skills Required
- M.S. or Ph.D. in Electrical Engineering, Computer Science, Optical Engineering, Applied Physics, or related quantitative field
- 3+ years 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 (feature detection, segmentation, classification, 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
- 5+ years industry experience in optics, display systems, semiconductor manufacturing, or hardware characterization
- Experience with display metrology (MTF, luminance uniformity, chromaticity, contrast)
- Knowledge of sensor characterization (SNR analysis, noise modeling, dynamic range)
- Experience developing deep learning models for defect detection or anomaly classification in manufacturing
- Familiarity with AR/VR display technologies (waveguides, micro-LEDs, LCoS, 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
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What We Do
itD is a different kind of technology and software development consultancy that puts client needs at the center of what we do. We combine the experience of a full-service consultancy with the agility of a specialized firm to help clients reimagine and improve operations and solve challenges unique to their business. Founded in 2005, we are headquartered in Silicon Valley and are honored to have long term partnerships with many of the world’s leading enterprise technology firms. With onshore, nearshore and offshore capability centers we are able to provide seamless global reach. We define ourselves by solving the toughest challenges in business. To tackle these challenges, we deploy the best people armed with the best technology to help our clients by enabling next-generation experiences, transforming tech operations, leveraging BI and analytic depth to convert data to advantage, delivering advanced DevOps and software development services and unlocking the potential of AI. Our mantra as itD is “Innovate Transform Deliver” and as a proud woman- and minority-owned business, we are focused on delivering a unique perspective and approach that attracts a robust and diverse talent pool. We believe this diversity of talent, thinking and perspective leads to better outcomes for our clients and a positive impact in our communities through our focus on giving back initiatives. We invite you to bring us the challenges no one else can solve. Because while other firms might give up, pivot, or pass… Impossible drives us. Certified Woman Owned - WBENC
