Job Opportunities API

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 Principal Machine Learning Engineer , you will operate at the company level—defining technical strategy, driving architectural decisions, and shaping the future of generative AI at Typeface.   You will lead the design of large-scale ML systems and shared platforms that power all generative capabilities across agents, text, image, audio, and video. This role requires a strong combination of deep technical expertise, product intuition, and the ability to influence teams and leadership.   How You'll Make an Impact Define and drive the  long-term technical vision for generative AI  across Typeface’s product ecosystem   Lead architecture and design of  scalable ML platforms  (training, evaluation, inference, safety) used across multiple teams   Drive  company-level ML strategy , aligning technical investments with product and business priorities   Influence and partner with  executive leadership, product, and design  to shape high-impact initiatives   Mentor senior engineers and raise the  technical bar across the ML organization   Architect and lead development of  large-scale generative AI systems  powering agentic orchestration and multimodal content generation   Define and evolve  shared ML infrastructure and platforms  for training, fine-tuning, evaluation, and serving   Drive  cross-team initiatives  spanning multiple ML systems and product areas   Establish best practices for  ML system evaluation, safety, reliability, and performance at scale   Identify and incubate  0→1 opportunities  in generative AI with high business impact   Make high-leverage technical decisions that  unlock velocity across teams   Mentor and guide engineers across levels, influencing  design and execution beyond your immediate team   What You Bring 15+ years of experience building and scaling machine learning systems, with demonstrated impact at the Principal level   Master’s or PhD degree in Computer Science or a related field Proven track record of driving  multi-team or company-level technical strategy   Experience leading  large, ambiguous, high-impact initiatives  (platforms and/or 0→1 systems)   Deep expertise in  ML systems and infrastructure , including training, evaluation, and inference at scale   Strong background in  Generative AI / LLMs / multimodal systems   Demonstrated ability to  influence senior leadership and align cross-functional stakeholders   Track record of mentoring senior engineers and elevating engineering excellence   Proficiency in Python and systems-level programming (C/C++ or equivalent)   Bonus:   Experience building  ML platforms used across multiple products or teams   Bonus: Prior role as a  Staff+ / Principal / Senior Staff engineer  at a leading AI or technology company   Bonus: Contributions to the field (publications, patents, open-source, or widely adopted systems)   Bonus: Experience in enterprise SaaS or high-growth startup environments   Location This is a hybrid role based in our Palo Alto HQ. We collabor