Software Engineer, Computer Vision - Hyperscape Dense Reconstruction (Reality Labs)

Facebook; Bellevue (WA); On-site; USD 112,000 - 173,000; Full time

Job summary

An established industry player is seeking a Computer Vision Engineer to innovate and implement advanced algorithms for immersive applications. In this role, you will leverage your expertise in 3D reconstruction and machine learning to drive groundbreaking solutions in augmented and mixed reality. Collaborating closely with a talented research team, you will transform cutting-edge ideas into production-ready technologies. This position offers a unique opportunity to contribute to the future of immersive experiences while working in a dynamic environment that values creativity and collaboration. If you are passionate about pushing the boundaries of technology, this role is perfect for you.

Qualifications

• Bachelor's degree in a relevant field required before joining.
• Proven experience with C++ and/or Python, modern features emphasized.

Responsibilities

• Develop and implement advanced computer vision algorithms.
• Collaborate with research teams to bring solutions to production.

Skills

C++

Python

Computer Vision

3D Reconstruction

Machine Learning

Cross-functional Collaboration

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science or related

Tools

PyTorch

TensorFlow

Job description

Summary:

As a Computer Vision Engineer, you will be responsible for developing and implementing advanced computer vision algorithms to enable photorealistic reconstruction for immersive applications. You will work closely with our research team to bring innovative computer vision solutions to production. Your expertise in 3D reconstruction, Gaussian Splatting, computer vision, and graphics will be crucial in pushing the boundaries of augmented and mixed reality.

Required Skills:

Software Engineer, Computer Vision - Hyperscape Dense Reconstruction (Reality Labs) Responsibilities:

1. Design new computer vision solutions or bring existing ideas to production with scale, reliability, and performance in mind.
2. Complete medium to large computer vision features spanning multiple tasks independently with minimal to no guidance.
3. Understand the assigned codebase or system and capacity to identify and drive changes as needed.
4. Effectively collaborate with other engineers and researchers on the team and drive collaboration with cross-functional and partner teams.
5. Develop well-organized code, proper testing and documentation, and build on top of existing code or build new solutions from scratch as needed.

Minimum Qualifications:

1. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
2. Proven experience with C++ and/or Python, including experience with modern features.
3. Track record of delivering research into production, driving algorithmic changes towards on-device optimization.
4. Expertise in computer vision, and machine learning domain knowledge in 3D reconstruction.
5. Demonstrated experience working collaboratively in cross-functional teams.

Preferred Qualifications:

1. Master's degree in the following fields: Computer Science, Computer Vision, or Machine Learning or related.
2. Familiarity with 3D reconstruction including Gaussian splatting, structure-from-motion, pose estimation, feature detection, and tracking.
3. Familiarity with graphics systems including rendering and performance optimization.
4. Experience working with deep learning frameworks such as PyTorch and TensorFlow.

Public Compensation:

$56.25/hour to $173,000/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 [e-mail].