Staff Data Scientist, Waveguide
A new paradigm of computing
Magic Leap is a pioneer in Augmented Reality (AR) optics, display systems, platforms, devices services, prototyping and manufacturing capabilities. We are known for our unmatched optics stack and have developed ultra-lightweight waveguides and display systems that advance what is possible in AR. With more than a decade of experience in AR innovation, we have made groundbreaking advancements in text legibility, color fidelity and rich digital content visuals while continually expanding the field of view to create engaging, immersive AR experiences.
Magic Leap could be your place if you want to be part of a united team where everyone is empowered and trusted to make an impact. At Magic Leap, you can explore innovative solutions and use your talents to solve real-world problems. Working alongside industry experts, you can grow your skills while helping make our technology available to millions of people as a partner in the mixed reality (XR) ecosystem. We know that successful change and progress accelerates diverse perspectives. As we shape our future, everyone's voice matters. Together, we can reimagine the world of work and, with our bold partners, make the impossible possible.
The opportunity
What you’ll do
- Own data pipelines and data structures across process and metrology tools;
- Enable data automation to be uploaded to the cloud across process and metrology tools;
- Organize data in a cohesive and meaningful way, and develop data dashboards and standard reports, e.g. run charts or SPC charts, to meet functional teams’ needs;
- Key contributor in the deep data-diving efforts and provide expert view on the suitable statistical analysis method to the team;
- When applicable, develop advanced data analysis algorithms to be included into the data pipelines.
The experience you bring
- BS or MS in engineering, science or related fields
- 7+ years of industry experience in semiconductor engineering, optics/photonics components, or consumer electronics
- 3+ years of experience in managing and developing data pipelines, data infrastructures, and data dashboards
- Ability to tackle and understand complex engineering systems and problems that span multiple disciplines
- Ability to demonstrate expertise in database and statistical data analysis skills
- Excellent problem-solving and communication skills.
- Ability to work in a fast-paced, collaborative environment
It’s exciting if you also have
- High-volume manufacturing experience in semiconductor engineering, optics/photonics components, or consumer electronics
- Process experience in nano/micro fabrication
- Process metrology experience, e.g. optical spectrometer, AFM, SEM, ellipsometer, or CMM
- Photometry, colorimetry, and imaging quality measurements and analyses
Additional Information
All your information will be kept confidential according to Equal Employment Opportunities guidelines
Accommodations
If you need an accommodation during the application, interviewing, or hiring process, you may request an accommodation by emailing ApplicantAccommodation@magicleap.com. Magic Leap will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.
Please note that we do not accept any application documents via (e-)mail. Furthermore, we do not accept applications from recruitment agencies for this role.
All legitimate Magic Leap email communications will end with "@magicleap.com". Please carefully review all emails you receive, to ensure you only engage with legitimate representatives of Magic Leap. For the protection of your Personal Information, do not click any links, open any attachments, or further engage with any suspicious communications. In the event you receive an unexpected or suspicious communication claiming to come from Magic Leap, please reach out directly to TalentAcquisition@magicleap.com for assistance.
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Our salary ranges are determined by role, level and location. In addition to salary, Magic Leap offers a discretionary bonus and a fully comprehensive benefits package for eligible employees.
US Base Salary Range
$140,000 - $170,000 USD
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