Meta
Research Engineer, Media Data Research - MSL FAIR
Meta, Menlo Park, California, United States, 94029
Research Engineer, Media Data Research – MSL FAIR
Join to apply for the Research Engineer, Media Data Research – MSL FAIR role at Meta.
Base Pay Range $70,670/year - $208,000/year
Responsibilities
Collaborate with cross-functional teams to develop Meta’s next foundational models
Architect efficient and scalable data curation systems and pipelines
Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
Execute on high priority projects in pre-training, mid-training, or post-training data curation
Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
Lead complex technical projects end-to-end
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
1+ year of industry research experience in LLM/LMM, computer vision, or related AI/ML models
Experience owning and/or driving complex technical projects from end-to-end
Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
Demonstrated data infrastructure and software background, and experience building data tooling and services
Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
Preferred Qualifications
Experience working on frontier-quality/ state-of-the-art Large Language or Large Media Models
Masters degree or PhD in Computer Science or a related technical field
Programming experience in Python and hands‑on experience with frameworks like PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow)
Familiarity with SQL and file formats, such as Hive, Iceberg, Parquet, etc
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.
Equal Employment Opportunity Statement Meta is proud to be an Equal Employment Opportunity and affirmatively 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.
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Base Pay Range $70,670/year - $208,000/year
Responsibilities
Collaborate with cross-functional teams to develop Meta’s next foundational models
Architect efficient and scalable data curation systems and pipelines
Fundamentally improve our data velocity across workflows and projects by contributing to the advancement of data tooling
Execute on high priority projects in pre-training, mid-training, or post-training data curation
Apply specialized expertise in video/image generation, video/image perception, OCR, data scaling laws, or data mixing
Lead complex technical projects end-to-end
Minimum Qualifications
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
1+ year of industry research experience in LLM/LMM, computer vision, or related AI/ML models
Experience owning and/or driving complex technical projects from end-to-end
Practical experience with multimodal pre-training or mid-training data curation for large media perception or generation models
Demonstrated data infrastructure and software background, and experience building data tooling and services
Published research in leading peer-reviewed conferences (e.g., ACL, NeurIPS, ICML, ICLR, AAAI, KDD, CVPR, ICCV) and/or demonstrated significant industry influence in the field of AI
Preferred Qualifications
Experience working on frontier-quality/ state-of-the-art Large Language or Large Media Models
Masters degree or PhD in Computer Science or a related technical field
Programming experience in Python and hands‑on experience with frameworks like PyTorch or Spark, or related distributed computing frameworks (Ray, DataFlow)
Familiarity with SQL and file formats, such as Hive, Iceberg, Parquet, etc
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.
Equal Employment Opportunity Statement Meta is proud to be an Equal Employment Opportunity and affirmatively 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.
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