Member of Technical Staff
Build AI agents that navigate digital environments and perform user tasks. Requires strong AI/ML experience, Python proficiency, and product intuition.
Senior Staff ML Engineer
Leads architecture of scalable ML platforms for generative AI across text, image, audio, and video. Drives company-level strategy, mentors engineers, and builds large-scale systems requiring 12+ years experience in ML infrastructure.
220k – 247kPalo Alto, CAML EngineeringHybrid12+ YOE
About the role
What You’ll Do
- 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
- 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 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
- Prior role as a Staff+ / Principal / Senior Staff engineer at a leading AI or technology company
- Contributions to the field (publications, patents, open-source, or widely adopted systems)
- Experience in enterprise SaaS or high-growth startup environments
Base Salary
The range for this role is $220,000-$247,000. 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
Skills
Generative AILLMsMachine LearningPythonC/C++Ml PlatformsTrainingInferenceEvaluationMultimodal Systems
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