Is the Principal ML Engineer role remote?

It's hybrid — Typeface expects some on-site time in Palo Alto, CA.

What's the salary range?

Typeface lists $230,000–$260,000 for this role.

How much experience is required?

At least 15 years of relevant experience for this Principal ML Engineer role.

Where is the role based?

Typeface is hiring for this position in Palo Alto, CA.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, C++, Generative AI, Machine Learning, Python.

What seniority level is this role?

Typeface targets principal-level candidates for this position.

Is this full-time or contract?

Full-time for this Principal ML Engineer role at Typeface.

Principal ML Engineer at Typeface

Joblaze summary

In the role of Principal Machine Learning Engineer at Typeface, the individual will focus on defining the technical strategy and leading the design of scalable ML systems that enhance generative AI capabilities across various media formats. This position demands extensive experience in building and scaling machine learning systems, particularly in generative AI and multimodal applications, along with strong leadership and mentoring skills. Ideal candidates will have a significant background in technical strategy at a principal level, making this role suitable for seasoned professionals looking to influence high-impact initiatives in a fast-paced environment.

Joblaze insights

Listed 9 days ago on Joblaze — tracked directly from Typeface's career page.
Typeface has 17 other open roles including Senior Software Engineer, Staff Software Engineer, Staff Software Engineer.
6517 active Python roles on Joblaze right now.
5136 active AI/ML roles on Joblaze right now.
1661 active C++ roles on Joblaze right now.
Salary band is above the typical range for AI/ML roles (median ~$188,000).
Pays more than 90% of the 3224 salaried Python roles we track (median $160,000). See Python salary trends

Quick facts

Is the Principal ML Engineer role remote?: It's hybrid — Typeface expects some on-site time in Palo Alto, CA.
What's the salary range?: Typeface lists $230,000–$260,000 for this role.
How much experience is required?: At least 15 years of relevant experience for this Principal ML Engineer role.
Where is the role based?: Typeface is hiring for this position in Palo Alto, CA.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, C++, Generative AI, Machine Learning, Python.
What seniority level is this role?: Typeface targets principal-level candidates for this position.
Is this full-time or contract?: Full-time for this Principal ML Engineer role at Typeface.

From the original posting

About Typeface
We help 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 backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate.

Why You’ll Love Working Here

Build something big — Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI.
Your work will matter — Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns.
A+ team — Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies.
Backed by the best — GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised).
Recognized for innovation — TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).

Principal ML Engineer

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