Menlo Park, CA, 94025, USA
17 hours ago
Documentation Engineer/Technical Writer, AI Infrastructure
**Summary:** As a Meta Technical Writer, you will be part of a team responsible for the quality, discoverability, and accuracy of content for internal AI technologies. You will conduct hands-on research and obtain necessary technical content from subject matter experts while translating it into clear, concise, structured documentation. This may mean documenting something yourself, editing contributed content from someone else, or at other times, fixing and reorganizing existing documentation. In addition, you may also have opportunities to code and project manage for various documentation requests. **Required Skills:** Documentation Engineer/Technical Writer, AI Infrastructure Responsibilities: 1. Create and maintain internal and external documentation for technologies and tools used within Meta. 2. Work closely with engineering, product, design, and support teams to ensure the quality, discoverability, and accuracy of the content you create and develop. 3. Design, create, and edit technical and process documentation. 4. Create and maintain code sample fragments and sample applications, as needed. 5. Navigate through multiple platforms such as web, iOS, and Android. **Minimum Qualifications:** Minimum Qualifications: 6. BA/BS degree in computer science, technical writing, physics, mathematics, or chemistry or equivalent experience. 7. 4+ years experience in technical content creation, technical documentation including code documentation, and/or developer outreach for a developer audience or equivalent experience. 8. 2+ years experience with a programming language such as JavaScript, Objective-C, Java, PHP, Python, etc. 9. Experience creating highly usable technical content, including proofreading, editing, and testing content. 10. Experience producing and organizing content with a logical flow. 11. Experience with authoring tools such as XML, HTML, Markdown, Adobe Photoshop, and Illustrator. 12. Experience programming, using the command-line, trying out user interfaces, and working with prototype hardware in test environments. 13. Experience managing projects with multiple deadlines. 14. Experience planning, prioritizing, and executing against large, technically-complex projects. **Preferred Qualifications:** Preferred Qualifications: 15. Knowledge about AI/ML technologies. 16. Background in Data Science. **Public Compensation:** $118,000/year to $169,000/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 accommodations-ext@fb.com.
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