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# Staff Machine Learning Engineer

- **Company:** Typeface Inc.
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $220,000.0 - $247,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Adobe Creative Cloud, Artificial Intelligence, C++ (Programming Language), Software as a Service, Computer Programming, Systems Analysis, Python (Programming Language), Machine Learning, Microsoft Software, Open Source Technology, Azure Machine Learning, Salesforce.Com, System Testing, Scripting, Large Language Models, Typeface, Generative AI, Information Technology, Machine Learning Operations
- **Published:** September 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-staff-ml-engineer-palo-alto-ca--a27a4bd9-ed2a-4b18-aea5-fe26e8b935d0

## About the Role

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., * 12+ years of experience building and scaling machine learning systems, with demonstrated impact at Staff+ 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, Adobe Product Family, Architectural Services, Artificial Intelligence (AI), Audiovisual, Best Practices, C Programming Language, C++ Programming Language, Campaigns, Category Development, Computer Science, Content Delivery/Distribution, Cross-Functional, Dental Insurance, Ecosystems, Enterprise Marketing, Large-Scale Systems, Leadership, LinkedIn, Machine Learning, Marketing, Mentoring, Microsoft Product Family, Open Source, Patents, Product Design, Publications, Python Programming/Scripting Language, Salesforce.com, Software as a Service (SaaS), Startup, Systems Analysis, Systems/Internals Programming, Technical Strategy, Vision Plan

## Description

* 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


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