Research Engineer (AI)

TL;DR

Research Engineer (AI): Developing techniques and data pipelines to optimize frontier Gemini models for model behavior, ensuring safety, robustness, and helpfulness, with an accent on building robust and real-world motivated evaluations. Focus on executing the team’s strategic roadmap, identifying critical modeling needs, and collaborating cross-functionally to land impactful improvements for users.

Location: Onsite in Mountain View, California, US

Salary: $166,000–$244,000 USD (base) + bonus + equity + benefits

Company

hirify.global is a team of scientists, engineers, and machine learning experts advancing the state of the art in artificial intelligence for widespread public benefit and scientific discovery.

What you will do

• Develop techniques and data pipelines to optimize frontier Gemini models on key capabilities important for model behavior.
• Build robust and real-world motivated evaluations for ML models.
• Partner with feature teams to prioritize modeling needs and ship Gemini-powered features.
• Establish best practices for code health and documentation to facilitate collaboration and reliable development.
• Mentor and guide junior engineers, fostering their professional growth.

Requirements

• BS, MS or Ph.D. in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
• Fluency in Python or C++ and JAX or similar ML framework.
• Software engineering, ML and data engineering experience (e.g., model training/deployment, efficiency optimization, data pipeline design, ML infra).
• Experience building robust automatic or human evaluations for ML models.
• Proven ability to lead engineering teams in fast-moving environments, under ambiguity.
• Excellent communication and cross-functional collaboration skills.

Nice to have

• Hands-on experience with training and debugging LLMs, including RL fine-tuning methods.
• Passion for the end-to-end process of productionizing cutting-edge research and taking projects from proof-of-concept to launch.
• Well versed in Google infrastructure for fine-tuning and serving Gemini models.

Culture & Benefits

• Value diversity of experience, knowledge, backgrounds, and perspectives.
• Committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, or other protected characteristics.
• Accommodation for disabilities or additional needs.
• Competitive compensation package including bonus, equity, and benefits.