Typeface Applied AI
Staff ML Engineer
- Location Palo Alto, CA
- Compensation $190,000 – $234,000 / yr
- Seniority staff
- Posted 2025-08-19
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role details
Builds machine learning models and systems for generating personalized content, collaborating with designers and engineers.
Summary generated by AI from the original posting.
Hard requirements to check first
- Clearance：not mentioned in the posting
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Skills
PythonAWSGCPFineTuningC/C++AzureMLGCP VertexAWS SagemakerGenerative AI
Excerpt from the original posting
About Typeface We he lp 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 - Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics What You 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 with a purpose of solving real-world problems. - Have a track record of coming up with new ideas or improving upon 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 - Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms - Bonus: Hands-on experience in deploying and tuning Genera…