ML Engineer Intern

About Typeface

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.

Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.

What You'll Do:

Are you looking for an internship that offers valuable experience at a leading, cutting-edge company in one of the fastest-growing industries? If you're eager to expand your skills and gain valuable experience with a generative AI start-up, come join us this summer!

How You'll Make an Impact:

We are looking for passionate and talented Machine Learning interns to join our Text Content Generation team. As an intern, you will have the opportunity to explore and develop cutting-edge Generative AI solutions, contributing to the advancement of AI-powered products that impact our customers.

• Work on key product and technology initiatives, contributing to technical design, development, testing, and launch.
• Develop high-quality, maintainable software that is well-documented and easily leveraged by others.
• Collaborate closely with designers, product managers, marketing teams, and engineers to bring innovative ideas to life.
• Investigate, prototype, and implement state-of-the-art AI solutions across the technology stack.

What You Bring:

• Pursuing a Bachelor or Master Degree in Computer Science or a related field.
• Experience with building and evolving ML training and inferencing systems at significant scale with a purpose of solving real-world problems.
• Track record of generating new ideas or enhancing existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.
• Proficiency in Python, C/C++ (or equivalent).
• Ability to create self-contained, reusable, and testable modules and passionate about prototyping.
• Ability to communicate and articulate ideas with technical details.

Bonus:

• Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms.
• Familiarity with Generative AI systems and APIs.
• Publications at core ML venues and/or vision/language conferences are a plus.

Location

This is a hybrid role reporting to our Palo Alto office 3 days a week.

Pay range

$40.00-$60.00 hourly

Benefits

• Competitive compensation — including salary, equity, and 401(k)
• Full medical, dental, and vision insurance for you and your family
• HSA and FSA options to support your financial wellness
• Flexible time off — including parental leave
• Well-being programs — resources to support your mental and physical health
• Daily lunch & snacks
• Mentorship & impact — work closely with top AI leaders on products that ship

Equality Opportunity Statement

We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate.

Why You’ll Love Working Here

• Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.
• Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.
• A+ team — Collaborate with veterans from Adobe, Microsoft, Google, and top AI companies.
• Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised).
• Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).

Key skills/competency

• Machine Learning
• Generative AI
• Python
• C/C++
• Software Development
• AI/ML Systems
• Prototyping
• Technical Design
• Collaboration
• Problem Solving
• Large Language Models