Member of Technical Staff, ML Product Engineering (AI)

Location: Bay Area, United States; in-office

Salary: $200,000–$350,000 USD annual base salary, plus equity and benefits.

Company

hirify.global develops diffusion-based large language models, including Mercury, for faster and more efficient AI applications.

What you will do

• Design, develop, and optimize diffusion language models for production use cases.
• Partner with customers to translate requirements into technical ML solutions.
• Implement post-training approaches for generative AI models, including agentic workflows.
• Build data preprocessing, model evaluation, and alignment workflows for enterprise use cases.
• Deploy and maintain models in production environments.
• Collaborate with product teams on customer-facing ML features.

Requirements

• BS, MS, PhD, or equivalent experience in computer science, machine learning, or a related field.
• At least 5 years of experience working on ML projects with PyTorch or an equivalent framework.
• Strong knowledge of transformers and LLM concepts, including pretraining, instruction tuning, in-context learning, LoRA, and KV caching.
• Experience training and fine-tuning LLMs.
• Familiarity with large-scale systems, high-performance computing, and GPU or TPU utilization.
• Experience with Git, Docker, and communicating technical concepts to non-technical stakeholders.

Nice to have

• Data engineering and synthetic data generation for LLMs.
• MLOps and production deployment workflows.
• LLM serving frameworks such as vLLM, SGLang, or TensorRT.
• Cloud platforms including AWS, GCP, or Azure.
• Model quantization and optimization techniques.

Culture & Benefits

• Collaboration with AI researchers and inventors of diffusion models.
• Competitive salary, equity, and opportunities to shape foundational AI technology.
• Flexible vacation and paid time off.
• Health, dental, vision insurance, and 401(k) match.
• Catered meals and commuter subsidies.
• Collaborative and inclusive work environment.