TL;DR

Software Engineer, Gemini Data Tooling (AI): Designing and developing essential data tools for Gemini model training and leading the complete data lifecycle with an accent on user-centric solutions and developer experience. Focus on accelerating ML researchers in developing and releasing new models and adapting to evolving challenges in large language model (LLM) development.

Location: Onsite in Mountain View, California, US or New York City, New York, US

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

Company

%hirify_global% is a team of scientists, engineers, and machine learning experts working to advance state-of-the-art artificial intelligence for widespread public benefit and scientific discovery.

What you will do

Design and develop essential data tools for Gemini model training, overseeing the complete data lifecycle.
Collaborate with researchers and engineers to translate user needs into effective, user-centric solutions.
Drive developer experience by creating tooling with exceptional UX intuition.
Provide technical guidance and mentorship to other team members in tooling development.
Deliver comprehensive, end-to-end solutions primarily in Python.
Navigate dynamic environments, adapting to evolving challenges in LLM development.

Requirements

BSc in a relevant technical field or equivalent experience.
Strong proficiency in Python for developing scalable and robust solutions.
Experience designing and implementing distributed systems.
Knowledge and experience with machine learning infrastructure.
Experience or a strong interest in user-centric design.
SWE interpersonal skills and problem-solving skills.

Nice to have

Experience with developing tools for managing and processing training data.
Front-end / Fullstack Experience: Strong Angular and TypeScript skills, building and optimizing user interfaces for data-intensive applications, and proficiency in creating developer tools.
Hands-on experience with ML modeling or quality work.

Culture & Benefits

Invaluable experience on a high-impact project with significant implications for the future of AI.
Contribute to a culture that champions velocity and user-centric design.
Competitive US base salary range, bonus, equity, and benefits.
Commitment to equal employment opportunity regardless of sex, race, religion, or belief.
Accommodations provided for disability or additional needs.