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Summary:

The team is composed of a multi-disciplinary team of engineers and scientists. We work cross-functionally across multiple products to deliver sensing solutions tailored for the requirements and constraints of each particular product/feature and develop platform technologies that can be reutilized across multiple products and product lines.We are looking for Software Engineers who are passionate about sensors and want to build performant and scalable software pipelines for sensor fusion and multi-modal machine learning algorithms for AR/VR. In this role you will define and implement software frameworks and tools for efficient ingestion of sensor data, scalable modal training and neural network architecture development, visualization of complex multi-modal sensor data, and more. You will collaborate with other engineers and researchers across Meta to develop new concepts and technologies for next generation sensor systems, including alternative sensing modalities and novel sensing algorithms.

Required Skills:

Software Engineer, Sensors Responsibilities:

1. Design and develop new frameworks and core software components to implement, optimize, visualize, and debug sensor fusion and machine learning algorithms

2. Design and implement state-of-the-art Machine Learning Algorithms using PyTorch, TensorFlow, or other platforms

3. Develop relationships and lead engagements with internal and external industrial and research partners to develop and scale novel technologies from incubation to production

4. Collaborate with other engineers and researchers across Meta to develop new concepts and technologies for next generation sensor systems, including alternative sensing modalities and novel sensing algorithms that advance the state-of-the-art in AR/VR systems

Minimum Qualifications:

Minimum Qualifications:

5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

6. 5+ years of experience coding with C++ and Python for design and development of sensor fusion and machine learning technologies and systems

7. Demonstrated experience with modern machine learning frameworks such as PyTorch or TensorFlow

8. Familiarity with modern machine learning algorithms, specifically Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), transformers, clustering, and dimensionality reduction

9. Experience with common digital signal processing techniques such as digital filtering, Fourier transform, correlation, and modulation

10. Experience in designing software systems and machine learning models targeted for edge devices

Preferred Qualifications:

Preferred Qualifications:

11. MS or PhD degree in Computer Science, Machine Learning, Robotics or related technical field

12. Familiarity with Simultaneous Localization and Mapping (SLAM) and Visual Inertial Odometry (VIO)

13. Proven track record of achieving significant results as demonstrated by patents or first-authored publications

14. Experience with radar/sonar imaging and 3D image reconstruction techniques

15. Familiarity with Inertial Sensors, Pressure Sensors, Magnetometers, and/or similar sensors

16. Familiarity with the emerging Augmented Reality and Virtual Reality technologies

17. Demonstrated experience in cross-group and cross-discipline collaboration

18. High levels of creativity and quick problem-solving skills

Public Compensation:

$70.67/hour to $208,000/year + bonus + equity + benefits

**Industry:** Internet

Equal Opportunity:

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 [email protected].