Technical Writer - AI Science

Alembic • San Francisco, CA

79d

About The Position

Alembic is where top engineers are solving marketing's hardest problem: proving what actually works. If you're looking for frontier technical challenges at an applied science company, this is the place. At Alembic, we're not just building software—we're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune 100 companies use to make multimillion-dollar decisions. We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more. We're looking for a Technical Writer focused on R&D and AI Science to document and communicate our AI/ML research, algorithms, and data products. You'll translate complex technical concepts into clear, accurate documentation that enables knowledge sharing across our R&D team and accelerates innovation. This is a unique opportunity to work at the intersection of technical writing and cutting-edge AI/ML research—documenting breakthrough algorithms, Python SDKs, and the science behind marketing causation.

Requirements

• 3-5+ years technical writing experience with focus on software, data, or AI/ML products
• Strong technical aptitude - ability to quickly learn and explain complex algorithms, data structures, and AI/ML concepts
• Excellent communication skills - can translate complex technical concepts for different technical audiences
• Experience documenting APIs and SDKs using modern documentation tools (Swagger/OpenAPI, Sphinx, MkDocs)
• Experience with documentation-as-code workflows (Git, Markdown, version control)
• Python proficiency - comfortable reading Python code and documenting APIs, libraries, and data pipelines
• Understanding of data science workflows - familiarity with concepts like ETL/ELT, data modeling, ML pipelines
• Self-directed learner - comfortable diving into codebases, asking questions, and figuring things out independently

Nice To Haves

• Contributions to open-source technical documentation
• Experience writing research papers, technical blog posts, or white papers
• Background in mathematics, statistics, or quantitative fields
• Familiarity with GPU computing or high-performance computing documentation
• Experience with tools like Notion, Confluence, ReadTheDocs, or Docusaurus
• Interest in marketing analytics, causal inference, or econometrics

Responsibilities

• Create comprehensive documentation for internal AI/ML systems, algorithms, and research methodologies within first 3 months
• Document Python SDKs, APIs, and data tools to accelerate developer onboarding and reduce support requests by 40%
• Translate complex research findings into technical specifications, white papers, and internal knowledge base articles
• Build and maintain a scalable documentation system that grows with R&D team expansion
• Collaborate with data scientists and engineers to capture and disseminate best practices and technical insights
• Produce technical blog posts and thought leadership content that showcases Alembic's scientific innovations

Benefits

• Hard problems with real impact: You'll tackle the hardest challenges in marketing analytics while building systems that influence multimillion-dollar decisions at Fortune 100 companies
• Technical autonomy: You want ownership over technical decisions and the freedom to solve complex problems your way
• Cutting-edge technology: Work with advanced AI/ML algorithms, composite AI solutions, private NVIDIA DGX clusters, and the latest in data processing at scale
• Elite team: Join top engineers who thrive on challenging problems and high-impact work
• Startup upside: Early-stage equity opportunity with experienced leadership and proven product-market fit

What This Job Offers

• Industry: Publishing Industries
• Number of Employees: 11-50 employees