Optical Algorithms Engineer
At Meta Reality Labs, we are developing the future of Wearables and Mixed Reality products and this team focuses on developing display and optics technologies for Meta products. Their mission is to create see-through display systems that seamlessly blend the real and virtual realms. This involves designing the architecture and all display sub-systems for AR glasses based on leading technologies developed by Meta's teams. We work on creating advanced display technologies that are essential for AR and VR systems while having sub-teams who connect bits, electrons, photons, and experience for display products across wearables and the metaverse while focusing on display silicon architecture, applied perception studies, image quality, and defining the roadmap and long-term platform development strategy. Within XDO we also aim to develop and implement test, characterization, metrology, and data solutions to support the creation of transparent display systems.As an Optical Algorithms Engineer, you will be responsible for developing custom algorithm solutions and implementing precise, robust, high-throughput, accurate metrology and test solutions for characterization, performance evaluations of materials, processes, and complex optical devices.
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Optical Algorithms Engineer Responsibilities:
- Developing and implementing data analysis, custom metrology compute algorithms to extract meaningful insights, intelligence from datasets related to metrology and optics experiments
- Designing and developing tools and applications to automate data collection, processing, and analysis tasks from a wide range of metrology, inspection and characterization tools
- Collaborating with material scientists, process engineers, optical engineers, designers to understand the underlying principles of metrology and optics experiments and develop appropriate data analysis strategies
- Developing and maintaining databases to store and manage experimental data and metadata
- Applying machine learning techniques to improve the accuracy and efficiency of data analysis tasks
- Developing visualizations and reports to communicate findings and insights to stakeholders
- Staying up-to-date with advances in data science, machine learning, and metrology and optics research
- Participating in cross-functional teams to design and execute experiments and interpret results
- Continuously improving processes and workflows to optimize efficiency and quality of data analysis tasks
- Conducting exploratory data analysis to identify patterns and relationships in the data
- Develop specification documents, engage with suppliers enablement of new metrology algorithm solutions
- Collaborate with the larger research team to develop, execute on test strategy, provide critical metrology data insights for optical design verification, validation and experimentation
- Drive method transfers to internal and external partners to support technology research, exploration and development
- Bachelor's degree in a relevant field such as Computer Science, Electrical Engineering, Physics, or Optics
- Demonstrated Programming skills in languages such as Python, MATLAB, or C++
- Experience with data analysis and visualization tools NumPy, Matplotlib etc.,
- 2+ years of experience in optical components performance metrology algorithm development, testing, optical characterization, spectroscopy and evaluation in a lab or clean room environment
- Familiarity with material & process metrology, inspection, optical metrology tools for nanofabrication and display performance
- MS/Ph.D. in the field of Optical Sciences, Optical Engineering or related field
- 2+ years of experience in data science, machine learning, and statistical analysis
- Demonstrated programming skills in languages such as Python, MATLAB, or C++
- Knowledge of wide range of metrology and optics principles and techniques
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch
- Experience with database management systems such as MySQL or PostgreSQL
- Proven track record of developing and implementing data analysis solutions that drive business impact
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
$111,000/year to $164,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Perks and Benefits
Health and Wellness
- Health Insurance
- Health Reimbursement Account
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- FSA With Employer Contribution
- HSA
- HSA With Employer Contribution
- Fitness Subsidies
- On-Site Gym
- Mental Health Benefits
Parental Benefits
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
Office Life and Perks
- Commuter Benefits Program
- Casual Dress
- Happy Hours
- Snacks
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Unlimited Paid Time Off
- Paid Holidays
- Personal/Sick Days
- Sabbatical
- Leave of Absence
Financial and Retirement
- 401(K)
- 401(K) With Company Matching
- Pension
- Company Equity
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Learning and Development Stipend
- Promote From Within
- Mentor Program
- Shadowing Opportunities
- Access to Online Courses
- Lunch and Learns
- Internship Program
Diversity and Inclusion
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