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META

Documentation Engineer/Technical Writer, AI Infrastructure

META, Menlo Park, California, United States, 94025

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Documentation Engineer/Technical Writer, AI Infrastructure

Please make an application promptly if you are a good match for this role due to high levels of interest. 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. Responsibilities

Create and maintain internal and external documentation for technologies and tools used within Meta. Work closely with engineering, product, design, and support teams to ensure the quality, discoverability, and accuracy of the content you create and develop. Design, create, and edit technical and process documentation. Create and maintain code sample fragments and sample applications, as needed. Navigate through multiple platforms such as web, iOS, and Android. Minimum Qualifications

BA/BS degree in computer science, technical writing, physics, mathematics, or chemistry or equivalent experience. 4+ years experience in technical content creation, technical documentation including code documentation, and/or developer outreach for a developer audience or equivalent experience. Experience creating highly usable technical content, including proofreading, editing, and testing content. Experience producing and organizing content with a logical flow. Experience with authoring tools such as XML, HTML, Markdown, Adobe Photoshop, and Illustrator. Experience programming, using the command-line, trying out user interfaces, and working with prototype hardware in test environments. Experience managing projects with multiple deadlines. Experience planning, prioritizing, and executing against large, technically-complex projects. Preferred Qualifications

Knowledge about AI/ML technologies. Background in Data Science. US$118,000/year to US$169,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the

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