Technical Writer, AI/ML Documentation - Amazon

Description Can you document and explain complex information clearly and concisely? Are you excited about diving deep into AI/ML concepts and helping customers adopt generative AI technology? The Technical Content Experience (TCX) group, also known as AWS Documentation, is looking for a technical writer to support Amazon AI and ML services. These services include Amazon SageMaker, which is our flagship machine learning service, Amazon Bedrock, and Amazon Q, and this role offers the opportunity to work on cutting edge Generative AI and Machine Learning technologies. Ideally, you have both a technical background that enables easy interaction with software developers and a demonstrated ability to deliver high-quality technical documentation. You will be part of a customer-obsessed, dynamic team of talented, geographically distributed, highly technical communicators. Join us on our journey to provide high-quality documentation and code examples to our customers! Key job responsibilities - Author and deliver high-quality conceptual, procedural, and API documentation and code examples - Develop, negotiate, and drive content strategy in alignment with product strategy - Work with customer data, gather feedback and drive your insights into improving content performance and strategy - Work with other writers to improve how we write, and identify and drive opportunities to improve writer and process efficiency. A day in the life Our team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren't focused on how many hours you spend at work or online. Instead, we're happy to offer a flexible schedule so you can have a more productive and well-balanced life-both in and outside of work. About the team The AWS Documentation team writes and provides support for a diverse technical audience, such as developers, DevOps professionals, IT professionals, and technical program managers. On behalf of our customers, we innovate, we research, we learn, and we experiment. We collaborate with product managers to understand our customers' needs. We partner with software developers to learn about the inner workings of AWS services so that we can influence product design and the customer experience with the product. We know that what we do makes a difference to our customers. We work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members. About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Basic Qualifications - Degree or certification in a relevant technical field or equivalent experience - A minimum of 3 years of experience designing and producing content for a technical audience that include data scientists or business consumers of AI technologies - Experience using content publishing tools to write, format, manage, and publish technical content on the web - Ability to read and write basic example code in one or more programming languages, such as Python, Java, JavaScript, Ruby, C#, or Go. Preferred Qualifications - Strong written and verbal communication skills - Background in machine learning or artificial intelligence - Experience working with XML, markdown, or HTML - Familiarity with using and following a style guide - Experience designing, planning, and delivering content that meets the needs of a technical audience - Experience working directly with teams of software engineers Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $70,100/year in our lowest geographic market up to $173,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.