Job description

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 Senior Machine Learning Engineer , 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 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. 5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale 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 Generative AI models in cloud or on local system Bonus: Experience working at a high-growth startup or tech company Publications and research experiences in ML venues and/or vision/language applications are a plus Location This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. Base Salary The range for this role is $188,000-$200,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. 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 Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and M enlo ($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).

Requirements

Must-haves

About Typeface We he lp the world’s biggest brands move from brief to fully personalized campaigns — in days, not months.
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
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.
5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale
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
This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.
The range for this role is $188,000-$200,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits
HSA and FSA options to support your financial wellness
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

Nice-to-haves

Bonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system
Bonus: Experience working at a high-growth startup or tech company
Publications and research experiences in ML venues and/or vision/language applications are a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythongcpaws

Platform: greenhouse
Effort: quick

Benefits

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Dental

Vision

401(K)

Parental Leave

Wellness