Member of Technical Staff, Forward Deployed Engineer (AI)

Location: Palo Alto, United States; other location: Zurich, Switzerland. Hybrid work with in-office attendance at least three times a week and on-site customer work when close collaboration is beneficial.

Salary: $164.8K–$508K plus equity.

Company

hirify.global is an AI lab developing causal, multimodal general world models that learn to predict and interact with the world over long horizons for applications including robotics, science, healthcare, education, gaming, and defense.

What you will do

• Work with strategic customers to understand workflows, technical constraints, data, and high-value problems.
• Translate ambiguous customer goals into research questions, technical hypotheses, prototypes, and deployment plans.
• Adapt and extend world models through fine-tuning, post-training, conditioning, controllability, inference optimization, and learned control policies.
• Build end-to-end prototypes connecting models with customer data, tools, simulators, hardware, and production systems.
• Design application-specific evaluations and diagnose failures across data, modeling, training, inference, evaluation, and product design.
• Collaborate with researchers, engineers, product teams, and customer stakeholders to turn deployments into reusable methods, infrastructure, and research advances.

Requirements

• Deep technical experience in world models, generative video, multimodal learning, robotics, autonomous systems, reinforcement learning, computer vision, or large-scale machine learning.
• Ability to move from ambiguous problems to experiments, prototypes, and deployed systems without detailed specifications.
• Ability to modify models and build systems across training, post-training, inference, data pipelines, evaluation, and application code.
• First-principles approach to distinguishing research problems from integration problems and selecting appropriate interventions.
• Experience taking models from research to production, including reliability on real data, latency, and operational constraints.
• Ability to work effectively with customers and external partners and establish credibility through technical depth and execution.
• Ability to manage competing priorities, learn unfamiliar domains quickly, and operate autonomously in ambiguous environments.
• Willingness to spend meaningful time with customers, including travel or periods embedded with partner teams when necessary.

Culture & Benefits

• High-trust, high-autonomy environment focused on rapid iteration and working through problems collaboratively.
• Expected to work in the office at least three times per week.
• Customer on-site work is expected when close collaboration benefits the project.
• Equity is included in the compensation package.