TL;DR

Engineering Manager (AI): Leading engineering efforts to improve model performance and scale inference and training systems with an accent on performance optimization, distributed systems, and AI safety. Focus on managing teams, removing bottlenecks, and building robust, efficient AI infrastructure in a fast-paced environment.

Location: Hybrid with at least 25% office presence in San Francisco, USA

Salary: $425,000 - $560,000 USD annually

Company

%hirify_global% is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

What you will do

Lead engineering efforts to improve model performance and scale inference and training systems
Contribute technically to the team’s stack as an individual contributor
Manage day-to-day execution and prioritize work in a dynamic environment
Coach and support team members’ professional growth
Maintain deep understanding of technical work and AI safety implications

Requirements

At least 1 year of management experience in technical environments, especially performance or distributed systems
Background in machine learning, AI, or related technical field
Commitment to safe development of advanced AI systems
Strong stakeholder relationship and communication skills
Ability to quickly learn and contribute to complex technical topics
Experience managing teams through rapid growth and change

Nice to have

Experience with high performance, large-scale ML systems
GPU/accelerator programming knowledge
Familiarity with ML framework internals and OS internals
Experience with language modeling using transformers

Culture & Benefits

Competitive compensation including equity and benefits
Visa sponsorship available with immigration support
Generous vacation and parental leave
Flexible working hours and hybrid work policy
Collaborative and diverse team environment

Hiring process

Application review and evaluation of technical and leadership skills
Interviews focusing on technical expertise, management experience, and cultural fit
Discussions on candidate’s alignment with AI safety and company mission