Alembic Technologies · 3 months ago
Technical Writer - AI Science
San Francisco HQ
Full-time
Onsite
Mid, Senior Level
$162K/yr - $192K/yr
3+ years expAlembic is an applied science company focused on solving marketing's toughest challenges through advanced AI/ML technologies. They are seeking a Technical Writer to document and communicate their AI/ML research and algorithms, translating complex concepts into clear documentation for knowledge sharing and innovation acceleration.
Big DataBusiness IntelligenceMarketingPredictive AnalyticsSaaS
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
Qualification
Required
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
Background in computer science, data science, or related technical field
Experience working embedded with engineering or research teams
Familiarity with ML/AI concepts (model training, inference, feature engineering, causation vs correlation)
Experience creating technical diagrams and visualizations (system architecture, data flows)
Understanding of statistical concepts and causal inference methodologies
Experience with Jupyter notebooks and literate programming approaches
Prior work documenting data platforms, analytics tools, or ML infrastructure
Preferred
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
Benefits
Early-stage equity opportunity
Company
Alembic Technologies
Alembic is a next-generation Causal AI platform that provides enterprises with unprecedented intelligence around the effects of their actions.
11-50 employees
H1B Sponsorship
Alembic Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$275.41MKey Investors
WndrCoKB Partners
2025-11-13Series B· $145M
2025-03-28Series Unknown· $104.79M
2024-02-15Series A· $15.97M
Leadership Team
Tomas Puig
Founder & CEO
Lloyd Taylor
COO/CISO
Recent News
MarketScreener
2025-12-11
Crunchbase News
2025-12-09
Sourcery
2025-11-28
Company data provided by crunchbase