Head of AI Foundation Models (Remote)

Quiet Capital

San Francisco (CA)

Remote

USD 230,000 - 330,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
Dental
Life insurance
Unlimited vacation
401k with match

Job summary

Merlin Labs in the United States seeks a seasoned AI/ML leader to own the foundation and world-model work, shaping architecture, post-training strategy, and the capability roadmap for autonomy.

You will mentor a small team of world-model and post-training engineers, define interfaces to the autonomy stack, and establish evaluation, safety, and certification partnership practices across engineering, safety, and regulators.

Qualifications

  • 8+ years building AI systems with 3+ years leading technical teams.
  • Proven ownership of learned systems deployed in real-time products.
  • Strong PyTorch experience and ability to read C++ real-time code.
  • Clear written communication for regulators and engineers.

Responsibilities

  • Technical strategy: own foundation and world-model work and roadmap.
  • Lead and mentor a small team of world-model engineers.
  • Design model interfaces to the autonomy stack with deterministic verification.
  • Define evaluation harnesses, taxonomy, and regression suites.
  • Establish uncertainty quantification and out-of-distribution detection.
  • Benchmark learned vs rule-based planning across mission profiles.
  • Collaborate with Certification and Systems Engineering to stay defensible.
  • Monitor external research and decide what to adopt or ignore.

Skills

Leadership
PyTorch
C++ RTS
Architecture design

Education

Degree in CS/AI or related

Tools

PyTorch
C++

Job description

Merlin Labs in the United States seeks a seasoned AI/ML leader to own the foundation and world-model work, shaping architecture, post-training strategy, and the capability roadmap for autonomy.

You will mentor a small team of world-model and post-training engineers, define interfaces to the autonomy stack, and establish evaluation, safety, and certification partnership practices across engineering, safety, and regulators.

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