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Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services 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. To apply, click “Apply to Job” online on this web page.

Required Skills:

Software Engineer, Machine Learning Responsibilities:

1. Lead the development of scalable infrastructure solutions that support the deployment and optimization of AI models for smart glasses.

2. Independently lead workstreams within and outside the organization, supervising other engineers and collaborating across multiple teams to solve problems of large scope.

3. Lead the migration of AI models to scalable platforms like PyPredictor, enhancing service scalability and reducing latency.

4. Develop and implement advanced model architectures, such as the encoder-perceiver-Llama3, to improve performance and enable real-time AI experiences.

5. Drive the development of multimodal large language models and generative AI systems, ensuring cutting-edge solutions are implemented.

6. Enhance query quality by developing evaluation metrics and improving processes to ensure high-quality user experiences, including prompt tuning and novel quality evaluation methods.

7. Deep technical understanding to lead initiatives to ensure compliance with high privacy standards, contributing to successful product launches.

Minimum Qualifications:

Minimum Qualifications:

8. Requires a Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, or a related field, and 1 year of experience in the job offered or a related occupation.

9. Requires 1 year of experience in the following:

10. 1. Working on large-scale projects that involve multi-organizational collaboration

11. 2. Refining and improving the performance of generative AI models in a product focused context

12. 3. Launching a significant AI product feature end to end

13. 4. Integrating, enhancing, and assessing generative AI models for summarization tasks, including incorporating multimodal components like images

14. 5. Programming in Python and utilizing machine learning frameworks such as PyTorch or TensorFlow

15. 6. Managing extensive multimodal datasets on distributed computing resources to support evaluation and improvement of text summarization features

16. 7. Leading projects and supervising engineering teams

17. 8. Engaging in cross-functional partnerships with a demonstrated history of delivering new products or key features and

18. 9. Creating privacy-preserving solutions while maintaining compliance with relevant industry standards.

Public Compensation:

$218,402/year to $240,240/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].