Staff ML Engineer

About TypefaceWe 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 aStaffMachine 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 ImpactDefine the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe contentOwn 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 solutionsCollaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growthEstablish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metricsWhat You Bring10+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scaleMaster’s or PhD degree in Computer Science or a related fieldExperience 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 projectsProficiency in Python, C/C++ (or equivalent)Ability to create self-contained, reusable, and testable modules and passionate about prototypingPrior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platformsBonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local systemBonus: Experience working at a high-growth startup or tech companyBonus: Publications and research experiences in ML venues and/or vision/language applicationsLocationThis is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.Base SalaryThe range for this role is $190,000-$234,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process.BenefitsCompetitive compensation — including salary, equity, and 401(k)Full medical, dental, and vision insurance for you and your familyHSA and FSA options to support your financial wellnessFlexible time off — including parental leaveWell-being programs — resources to support your mental and physical healthDaily lunch & snacksMentorship & impact — work closely with top AI leaders on products that shipEquality Opportunity StatementWe 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 HereBuild 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 Menlo ($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).