Staff Research Engineer, AI Products (AI Engineering)

TL;DR

Staff Research Engineer, AI Products (AI Engineering): Rapidly exploring and implementing the state-of-the-art Gemini models across core Google products with an accent on building and iterating on proof-of-concept integrations that leverage cutting-edge AI capabilities. Focus on creating novel agentic services and “zero-to-one” engaging user experiences.

Location: Must be located in Mountain View, California, US

Salary: $197,000 - $291,000 + bonus + equity + benefits

Company

hirify.global is a team of scientists, engineers, machine learning experts working together to advance the state of the art in artificial intelligence.

What you will do

• Drive the rapid development of experimental Gemini-powered features.
• Translate research into tangible product concepts.
• Collaborate with multiple product surfaces across Google to bring experiences to life.
• Push the boundaries of what's possible to create novel agentic services and “zero-to-one” engaging user experiences.

Requirements

• Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• A minimum of 5 years of relevant professional experience.
• Experience with core software engineering and building highly available, high-traffic production systems.
• Experience training, deploying and operating large machine learning models (LLMs or similar) in a high-scale, low-latency production environment.
• Strong programming skills in Python and C++.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch, particularly for inference and serving.

Nice to have

• Full-stack engineering experience, comfortable working with frontend frameworks (e.g., React, Flutter, or simple web UIs).
• Strong track record in delivering features that leverage cutting-edge AI (e.g., LLMs, multimodal models) to a large user base.
• Deep understanding of end to end system architecture and adapting to new technologies and modern design
• Significant prompt engineering experience, deep understanding of evaluation strategies and familiarity with of pretraining, post-training concepts
• Familiarity with multimodal data and processing pipelines (vision, audio, text).

Culture & Benefits

• Committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.
• Value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.