Machine Learning Engineer

Typeface is on a mission to help everyone express their unique imagination through generative AI. We're building the leading enterprise-grade generative AI solution that allows businesses to create hyper-personalized content at scale with a responsible AI approach. Founded by former Adobe CPO & CTO Abhay Parasnis, we're backed by top-tier VCs and have gained rapid traction with Fortune 500 companies.

As a Machine Learning Engineer at Typeface, you'll be at the forefront of innovation, building ML models and systems that power our generative AI platform. You'll work on cutting-edge technology, defining roadmaps for various content types including text, image, audio, and video. Your responsibilities will include owning key business and technology initiatives, implementing processes for model training and fine-tuning, and collaborating across teams to drive product improvement and growth.

We're looking for candidates with a Master's or PhD in Computer Science or related field, with 2+ years of experience in building and scaling ML systems. Proficiency in Python and C/C++ is required, along with a track record of innovation in machine learning. Experience with cloud platforms like AzureML, GCP Vertex, or AWS Sagemaker is a plus.

Join us to revolutionize content creation, working with a world-class team in a fast-paced startup environment. We offer competitive compensation, equity, comprehensive benefits, and opportunities for professional growth. At Typeface, we value diversity and inclusion, creating a welcoming environment for all employees regardless of background or identity. Be part of our exciting journey in shaping the future of AI-powered content creation!