Sr Staff Engineer (AI/ML)

Location: San Jose, California, United States. The role requires satisfactory proof of the right to work in the United States.

Base pay: $220,800 per year. Additional variable or incentive compensation and equity may be available.

Company

hirify.global develops low-power programmable logic, FPGA, CPLD, and programmable power management solutions for customers worldwide.

What you will do

• Train, fine-tune, and evaluate machine learning models, including LLMs, using SFT, LoRA/QLoRA, and RLHF.
• Optimize models for local inference through quantization, pruning, distillation, batching, and memory optimization.
• Deploy models on-premises and at the edge with PyTorch, TensorRT, ONNX, vLLM, or llama.cpp.
• Build reproducible and scalable training and inference pipelines and integrate locally deployed models into production APIs and internal services.
• Monitor model performance, drift, latency, and resource utilization in production.
• Collaborate with software engineers, infrastructure teams, domain experts, and business stakeholders to deliver secure, multimodal, and ensemble AI solutions.

Requirements

• Master’s or Ph.D. in computer science, engineering, or a related field, or equivalent practical experience.
• 8+ years of AI and machine learning experience, including at least 3 years with LLMs, code generation, large-scale neural networks, RAG, or AI-powered automation.
• Hands-on experience with open-weight LLMs and proficiency in Python with PyTorch or TensorFlow.
• Expertise in vector databases and retrieval models, plus experience deploying models in local, on-premises, or resource-constrained environments.
• Experience with multi-agent AI systems for autonomous coding tasks, Linux, Docker, and basic cloud or on-premises infrastructure.
• Must provide satisfactory proof of the right to work in the United States.

Nice to have

• Experience developing multimodal text-and-image and ensemble models.
• Experience with LangGraph, CrewAI, AutoGen, or OpenAI Assistants API.
• Strong research, innovation, mentoring, communication, adaptability, and teamwork skills.

Culture & Benefits

• Fast-paced, results-oriented, team-first environment.
• Comprehensive benefits may include healthcare, retirement plans, and paid time off.
• Potential eligibility for variable or incentive compensation and equity.
• Background and reference checks are required.