Member of Technical Staff (Applied AI)

Location: San Francisco, CA; on-site

Salary: $150,000–$350,000 per year plus equity

Company

hirify.global is building a multi-silicon neocloud for fast, efficient AI inference across heterogeneous hardware.

What you will do

• Research, design, prototype, and evaluate methods that improve AI model performance, efficiency, and reliability.
• Explore model architectures and inference optimization techniques, including KV caching and optimized attention variants.
• Build experimental frameworks for fine-tuning, knowledge distillation, and efficient model serving.
• Assess emerging AI systems research and translate promising approaches into production systems.
• Contribute production-quality code to customer-facing AI infrastructure and collaborate across systems, networking, compilers, runtimes, and performance engineering.

Requirements

• Experience applying AI/ML techniques to practical engineering problems.
• Strong software engineering skills in Python and C++ with experience building production-quality systems.
• Experience with modern AI frameworks such as PyTorch, TensorFlow, vLLM, ONNX, or similar tools.
• Familiarity with inference optimization, fine-tuning, knowledge distillation, or efficient model serving.
• Strong foundation in statistics and experimental design, including reading research papers and evaluating competing approaches.
• Experience translating research prototypes into production-ready software.

Nice to have

• Interest in working across AI infrastructure domains and rapidly prototyping in ambiguous environments.

Culture & Benefits

• Significant ownership as an early team member.
• Opportunity to split time between production systems engineering and exploratory research.
• Work alongside highly technical engineers on frontier AI infrastructure problems.
• Equity is included in the compensation package.