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TypefaceTypeface

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.

About the job

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 AI, LLMs, Machine Learning, Python, C/C++, Ml Platforms, Training, Inference, Evaluation, Multimodal Systems

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