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Member of Technical Staff

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Member of Technical Staff in USA

  • Liquid AI
  • Full time
  • Email
  • Boston, MA

Responsibilities

  • Design and build benchmark suites covering inference performance, model quality, and knowledge evaluation across hardware targets.
  • Run external partner verifications, compare solutions against benchmarks, identify gaps, and clearly communicate findings.
  • Port models such as LFM2 across runtimes and frameworks and verify correctness end-to-end.
  • Maintain and extend the inference engine layer using llama.cpp, ONNX, and MLX as new model architectures emerge.
  • Make benchmark results explainable, verifiable, reproducible, and independently trustworthy for internal teams and partners.

Requirements

  • Hands-on experience with at least one inference framework such as llama.cpp, ONNX Runtime, or MLX, including internals and modification beyond basic usage.
  • Experience designing and building benchmarking pipelines with methodology, validation, and reproducibility.
  • Strong C++ and Python experience in performance-sensitive contexts.
  • Solid understanding of inference fundamentals, including quantization, decoding strategies, and memory layout and their interactions.
  • Preferred experience porting models across runtimes and verifying numerical correctness.
  • Preferred experience working with external partners or clients in technical validation or evaluation.
  • Preferred familiarity with edge inference targets and their constraints.

Benefits

  • Competitive base salary with equity in a unicorn-stage company.
  • The company pays 100% of medical, dental, and vision premiums for employees and dependents.
  • 401(k) matching of up to 4% of base pay.
  • Unlimited paid time off and company-wide Refill Days throughout the year.
  • Full-time, hybrid work arrangement in Boston.

Salary: Competitive

Liquid AI

We build efficient general-purpose AI at every scale.

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