Base Salary
$190k - $234k/yr
Responsibilities
- Define the roadmap for generating brand-affinitized and hyper-personalized text, image, audio, and video content.
- Own key business, product, and technology initiatives from design and specification through development, testing, and launch.
- Establish processes for training, fine-tuning, testing, and operating generative AI models at significant scale.
- Investigate, prototype, and deliver innovative machine learning solutions.
- Collaborate with engineers, product managers, designers, and business teams to improve the product and drive growth.
- Define, track, and operationalize feature, product, and company-level metrics to promote data-driven development.
Requirements
- 10+ years of experience designing, building, and scaling systems for training, testing, and running machine learning models at scale.
- Master’s or PhD degree in Computer Science or a related field.
- Experience building and evolving large-scale ML training and inference systems for real-world problems.
- Track record of developing or improving machine learning ideas, demonstrated through accomplishments such as first-author publications or projects.
- Proficiency in Python and C/C++ or equivalent.
- Ability to create self-contained, reusable, and testable modules, with a strong interest in prototyping.
- Experience with AzureML, GCP Vertex, AWS Sagemaker, or similar platforms.
- Hands-on experience deploying and tuning generative AI models in the cloud or on local systems is a bonus.
- Experience at a high-growth startup or technology company is a bonus.
- Publications and research experience in machine learning venues or vision/language applications are a bonus.
Benefits
- Hybrid role based at the Palo Alto headquarters with three in-office days per week.
- Equity and 401(k) benefits.
- Medical, dental, and vision insurance for employees and their families.
- HSA and FSA options.
- Flexible time off, including parental leave.
- Well-being programs supporting mental and physical health.
- Daily lunch and snacks.
- Mentorship and opportunities to work with AI leaders on products that ship.
Categories
About Typeface
Typeface is the marketing orchestration engine that unifies Marketing, Creative, and IT teams to power the entire content lifecycle. By moving beyond one-off generation to enterprise-grade orchestration, Typeface provides a single pane of glass to conduct people, agents, and systems across every channel—all grounded in rich enterprise context and brand standards. Built for large organizations, the platform combines shared brand intelligence and governed agent workflows with deep enterprise integration. It connects seamlessly with platforms like Salesforce, Microsoft, and Google to help teams scale what works without sacrificing quality or control. Our platform is built on four core pillars: Arc Graph: A living context graph that connects brand standards and assets into a unified intelligence layer. Arc Forge: IT-powered architecture for designing and deploying governed, scalable agents via MCP, APIs, and webhooks. Arc Agents: Purpose-built marketing agents for email, social, paid media, web, and video. Arc Spaces: A collaborative, visual workspace where teams and agents plan, build, and run campaigns together. Trusted by Fortune 500 companies and global brands like ASICS and Johnson Controls, Typeface enables organizations to operationalize AI inside real marketing workflows. This turns brand standards, approvals, and performance signals into coordinated systems that improve over time. Typeface turns AI experimentation into repeatable, business-critical workflows. Anything imagined. Everything on-brand. Scaled with Typeface.