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typeface.ai

typeface.ai

www.typeface.ai

1 Job

245 Employees

About the Company

Typeface is the enterprise AI platform built for modern marketing teams. We bring together your brand guidelines, AI agents, and enterprise-grade infrastructure so marketers can create, personalize, and activate campaigns at scale—without sacrificing brand consistency. With Typeface, your brand becomes the foundation for content. The platform ingests your logos, fonts, colors, and tone of voice to ensure every asset—whether text, image, or video—feels authentically you. Your content library is automatically organized and searchable, making it easy to reuse what you have and generate what you need. A built-in brand agent evaluates content for governance and consistency, so every campaign is on-brand from the start. Marketing workflows are reimagined with AI agents that plan, orchestrate, and execute campaigns across channels. A simple chat interface and visual canvas let teams create and refine content collaboratively, while connectors to email, web, and paid media tools streamline activation. Whether you’re building a campaign from scratch or optimizing an existing one, agents automate the heavy lifting so your teams can focus on creativity and strategy. Enterprise readiness is at the core. Typeface is SOC II compliant, supports SSO, and offers cloud hosting options across major providers. We partner with leaders like Microsoft, Google, and Salesforce to integrate seamlessly into your stack. Security and governance are built in, with role-based access, isolated brand assets, and a responsible AI layer that ensures safe, high-quality outputs. With Typeface, marketers get faster time to market, personalization at scale, and confidence that every piece of content is brand-safe, consistent, and impactful.

Listed Jobs

Company background Company brand
Company Name
typeface.ai
Job Title
ML Engineer Intern
Job Description
**Job Title:** Machine Learning Engineer Intern **Role Summary:** Support the Text Content Generation team in designing, developing, and deploying generative AI solutions. Contribute to end‑to‑end machine‑learning pipelines, produce maintainable code, and collaborate across product, design, and engineering functions. **Expectations:** - Pursue a B.Sc. or M.Sc. in Computer Science or a related discipline. - Demonstrate ability to work independently on research‑oriented ML projects. - Communicate technical concepts clearly to multidisciplinary teams. - Deliver prototype and production‑ready components within internship timeline. **Key Responsibilities:** - Design, implement, and test ML training and inference systems for text generation. - Build reusable, well‑documented Python (and optionally C/C++) modules. - Prototype state‑of‑the‑art generative AI models and APIs. - Participate in technical design reviews and contribute to product roadmaps. - Collaborate with designers, product managers, and engineers to integrate AI features. - Evaluate and benchmark model performance; iterate based on results. **Required Skills:** - Proficiency in Python; familiarity with C/C++ or equivalent. - Experience building scalable ML pipelines (training, inference, deployment). - Strong foundation in machine learning, especially generative models for language. - Ability to write clean, testable, and reusable code. - Effective written and verbal communication of technical ideas. **Preferred Skills (Bonus):** - Hands‑on experience with cloud ML platforms (AzureML, GCP Vertex AI, AWS SageMaker). - Knowledge of generative AI APIs and frameworks. - Publications or project experience in core ML, vision, or language conferences. **Required Education & Certifications:** - Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Electrical Engineering, Data Science, or a closely related field. - No specific certifications required.
Palo alto, United states
Hybrid
Fresher
21-02-2026