Principal ML Engineer

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 collaborate in-office 3 days a week. Base Salary The base salary range for this role is $230,000-$260,000. 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 backgro