What You'll Do
As a Principal Machine Learning Engineer, you willย operateย at the company level-defining technical strategy, driving architectural decisions, and shaping the future of generative AI at Typeface.ย
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 technicalย expertise, product intuition, and the ability toย influenceย teams and leadership.ย
How You'll Make an Impact
- Define and drive theย long-term technical vision for generative AIย across Typeface's product ecosystemย
- Lead architecture and design ofย scalable ML platformsย (training, evaluation, inference, safety) used across multiple teamsย
- Driveย company-level ML strategy, aligning technical investments with product and business prioritiesย
- Influence and partner withย executive leadership, product, and designย to shape high-impact initiativesย
- Mentor senior engineers and raise theย technical bar across the ML organizationย
- Architect and lead development ofย large-scale generative AI systemsย powering agentic orchestration andย multimodal content generationย
- Define and evolveย shared ML infrastructure and platformsย for training, fine-tuning, evaluation, and servingย
- Driveย cross-team initiativesย spanning multiple ML systems and product areasย
- Establish best practices forย ML systemย evaluation, safety, reliability, and performance at scaleย
- Identifyย and incubateย 01 opportunitiesย in generative AI with high business impactย
- Make high-leverage technical decisions thatย unlock velocity across teamsย
- Mentor and guide engineers across levels, influencingย design and execution beyond your immediate teamย
What You Bring
- 15+ years of experience building and scaling machine learning systems, with demonstrated impact at the Principal levelย
- Master's or PhD degree in Computer Science or a related field
- Provenย track recordย of drivingย multi-team or company-level technical strategyย
- Experience leadingย large, ambiguous, high-impact initiativesย (platforms and/or 01 systems)ย
- Deepย expertiseย inย ML systems and infrastructure, including training, evaluation, and inference at scaleย
- Strong background inย Generative AI / LLMs / multimodal systemsย
- Demonstrated ability toย influence senior leadership and align cross-functional stakeholdersย
- Track recordย of mentoring senior engineers and elevating engineering excellenceย
- Proficiencyย in Python and systems-level programming (C/C++ or equivalent)ย
- Bonus:ย Experience buildingย ML platforms used across multiple products or teamsย
- Bonus: Prior role as aย Staff+ / Principal / Senior Staff engineerย at a leading AI or technology companyย
- Bonus: Contributions to the field (publications, patents, open-source, or widely adopted systems)ย
- Bonus: Experience in enterprise SaaS or high-growth startup environmentsย
Location
This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week.ย
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.ย