Staff ML Engineer
AI summary of the role
Staff ML Engineer to build and scale generative AI models and systems for enterprise marketing content generation (text, image, audio, video).
What you’ll do
- Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content
- Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch
- Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale
- Investigate, prototype and deliver innovative solutions
What you’ll bring
- 10+ years of prior 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 with building and evolving ML Training and Inferencing systems at significant scale
- Proficiency in Python, C/C++ (or equivalent)
Technologies
Generative AI · AzureML · GCP Vertex · AWS SageMaker · Python · C/C++ · ML Training · Inferencing · fine-tuning
About Typeface
Enterprise marketing AI platform that helps large brands generate, personalize, review, and launch on-brand campaigns across channels using brand-aware agents, workflow orchestration, and deep martech integrations.
Series B · 100–200 people
Source and classification
Production engineering · Evidence for this classification:
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 As a Staff Machine Learning Engineer/Applied Scientist, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. How You'll Make an Impact Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate
More from the job description
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 As a Staff Machine Learning Engineer/Applied Scientist, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. How You'll Make an Impact Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch. Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale. Investigate, prototype and deliver innovative solutions Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth Esta
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