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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 01 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 01 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.