Principal Machine Learning Engineer (AI)

Location: Mountain View, United States or Remote; hirify.global can hire in any country where it has a legal entity

Base pay: $196,461–$256,491 in Zone C, $213,030–$278,123 in Zone B, or $236,700–$309,025 in Zone A, plus potential benefits, bonuses, commissions, and equity.

Company

hirify.global develops software products that help teams collaborate and manage different types of work.

What you will do

• Set technical direction for machine learning and AI initiatives across Confluence, including content creation, editing, summarization, recommendations, and multimodal interaction.
• Design, build, and evolve production-grade ML systems, evaluation workflows, experimentation loops, and supporting infrastructure.
• Translate ambiguous product opportunities into technical strategies, measurable outcomes, and customer-facing AI experiences.
• Advance model behavior, retrieval, ranking, prompt and workflow design, automated evaluation, quality measurement, and system reliability.
• Partner with engineering, product, design, analytics, and platform teams to influence roadmaps and deliver cross-organizational initiatives.
• Make architectural decisions, prototype and debug systems, guide production rollouts, mentor engineers, and lead design reviews.

Requirements

• Principal-level machine learning engineering experience with strong ML depth and product-oriented systems thinking.
• Experience building and operating production AI or ML systems at scale.
• Ability to work across product, platform, engineering, design, and analytics teams.
• Experience with model evaluation, experimentation, retrieval, ranking, reliability, and quality measurement.
• Ability to make trade-offs involving model quality, latency, cost, safety, maintainability, and user experience.

Culture & Benefits

• Choice of working from an office, home, or a combination of both.
• Health and wellbeing resources.
• Paid volunteer days and community support.
• Potential benefits, bonuses, commissions, and equity.
• Accommodations and adjustments are available during the recruitment process.

Hiring process

• Identity verification, potentially including biometric data, is a condition of employment for employment fraud prevention.
• Recruitment accommodations can be requested at any stage of the process.