Research Engineer (AI)

TL;DR

Research Engineer (AI): Building the next-generation personal AI assistant on top of Google’s state-of-the-art Gemini models with an accent on model post-training, evaluation, data retrieval, and production deployment. Focus on designing robust, scalable, user-facing personalization features and developing evaluation techniques to assess quality.

Location: Mountain View, California, US

Salary: $166,000 - $244,000 + bonus + equity + benefits

Company

hirify.global is a team of scientists, engineers, and machine learning experts working to advance artificial intelligence for public benefit and scientific discovery, ensuring safety and ethics.

What you will do

• Design, prototype, and build robust, scalable, user-facing personalization features on the full Gemini App stack.
• Perform data analysis of user feedback, logs, and evaluation tasks to identify personalization issues and opportunities.
• Propose and implement targeted quality improvements via fine-tuning or prompting.
• Develop robust evaluation techniques (automated and human-in-the-loop) to assess and improve personalization quality.
• Act as primary owner and critical judge of model output quality for specific personalization features.
• Contribute to the development of a robust data flywheel, driving continuous improvement and innovation.

Requirements

• BSc, MSc or PhD/DPhil degree in computer science or other quantitative scientific field, or similar industry experience.
• Solid proficiency in Python or C++.
• Deep understanding of machine learning and statistics.
• Experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks.
• Experience with deployment in production environments and working with LLM or ML evaluation systems.
• Solid understanding of Deep Learning fundamentals, including transformer architectures, attention mechanisms, and optimization techniques.
• Experience adapting LLMs (e.g. supervised fine-tuning, RLHF, prompt optimization) and with data pipelines for processing large-scale user data.
• Excellent communication skills and interpersonal skills.
• Must be based in Mountain View, California, US.

Nice to have

• Experience in empirically-driven research and development.
• Experience working on personalization for machine learning models.
• Cross-functional collaboration experience, including with engineers, researchers, and product teams.
• Experience with user modeling techniques tailored for personalization.
• Experience building and shipping features for large-scale, user-facing products.
• Research background in NLP / Generative AI.

Culture & Benefits

• Work at the forefront of AI innovation with Gemini models to empower billions of people.
• Be part of a team committed to ensuring safety and ethics as the highest priority.
• Value diversity of experience, knowledge, backgrounds, and perspectives to create extraordinary impact.
• Committed to equal employment opportunities regardless of sex, race, religion, or other protected characteristics.
• Offers specific salary range, bonus, equity, and benefits.

Hiring process

• An offer of employment will be conditional on the results of a background check performed by a third party.