Looking to build cutting-edge AI systems and work on real-world machine learning challenges? Typeface is seeking motivated ML Engineer Interns who are passionate about developing intelligent products and experimenting with modern AI technologies. This internship offers an opportunity to collaborate with experienced engineers, gain hands-on exposure to machine learning workflows, and contribute to projects that impact production environments. If you enjoy solving complex problems and want practical industry experience in a fast-moving environment, this opportunity could be an excellent fit.
Job Overview
Field
Details
Company Name
Typeface
Role
ML Engineer Intern
Qualification
Bachelor’s/Master’s degree pursuing or relevant technical background in Computer Science, AI, Machine Learning, or related field
Job Location
Palo Alto, California, United States
Salary
$40–$60 per hour
Work Type
On-site / Hybrid (subject to company requirements)
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.
Bonus: Familiarity with Generative AI systems and APIs.
Bonus: 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.
Selection Process
Application Submission
Resume Screening
Technical Assessment / Coding Round
Machine Learning Technical Interview
Hiring Manager / Team Interview
Final Selection & Offer Letter
How to Apply
Visit the company’s official careers page
Search for ML Engineer Intern openings
Review eligibility and role requirements carefully
Prepare your updated resume and relevant project portfolio
Submit the application with required details
Track your application status and monitor your email for updates
P.S. Karthik is the Chief Editor of Studentscircles. With over 12 years of experience in the educational news industry, he specializes in bridging the gap between campus life and the professional world. Having helped thousands of students navigate the US job market, Karthik’s mission is to turn complex academic news into actionable career opportunities.
