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.