Member of Technical Staff, Machine Learning (AI)

Location: Remote in the United States

Company

hirify.global is building proactive AI-native applications that help people manage conversations, errands, organisation, and workflows with minimal prompting.

What you will do

• Build and improve machine-learning components across data, training, evaluation, and inference.
• Fine-tune and adapt models within larger production systems.
• Implement evaluation and testing to understand model behaviour and improve reliability.
• Build and maintain pipelines for real-world and synthetic data.
• Debug model issues, performance problems, and production incidents.
• Collaborate with ML engineers and product teams to ship iterative improvements under latency, cost, reliability, and safety constraints.

Requirements

• Strong foundations in machine learning and modern neural architectures.
• Hands-on experience training, fine-tuning, or deploying ML models.
• Production-quality Python development skills.
• Experience with PyTorch or JAX and production ML systems running on GPUs.
• Ability to work through ambiguity, learn quickly, and grow ownership over time.
• Bias toward shipping, iteration, and continuous improvement.

Culture & Benefits

• Work on real production systems from day one and learn how large-scale ML behaves outside research settings.
• Join a small, high-talent-density, hands-on team that makes decisions collectively and moves quickly.
• Balance high-quality delivery with rapid learning and measurable improvement from real user feedback.
• Interviews are conducted via virtual meetings and/or onsite.

Hiring process

• Complete three, and no more than four, interviews if there appears to be a fit.
• Applications are evaluated by technical team members.
• Expect a prompt hiring decision after the interview process.