Staff Applied Machine Learning Engineer (AI)

Location: Remote - Americas

Company

hirify.global is an e-commerce platform that helps entrepreneurs and enterprises build and scale businesses for millions of merchants worldwide.

What you will do

• Own the ML technical direction for SimGym across agent, persona, evaluation, and behavioral data workstreams.
• Develop, fine-tune, evaluate, deploy, and operate LLM/VLM systems for browser automation, buyer simulation, and storefront analysis.
• Lead major model initiatives from research prototypes to production, including teacher-model distillation, learned buyer personas, and SFT model rollouts.
• Design scalable ML architectures, production data pipelines, model-serving systems, evaluation flows, golden datasets, and trace replay infrastructure.
• Improve human-agent alignment and behavioral fidelity through offline and online evaluation using behavioral and storefront data.
• Set technical direction, make build-versus-buy decisions, communicate tradeoffs, mentor engineers, and contribute hands-on through implementation and design reviews.

Requirements

• Staff-level applied ML leadership experience, including setting strategy, writing code and designs, unblocking teams, and delivering production systems through ambiguity.
• Hands-on experience with LLM, VLM, or agent systems, including SFT/post-training, distillation, evaluation, model iteration, and serving tradeoffs.
• End-to-end experience training, evaluating, testing, deploying, and operating ML products at scale.
• Strong experimentation and evaluation skills, including meaningful metric design, diagnosing alignment failures, and avoiding misleading benchmark improvements.
• Experience building production ML data pipelines and working with large-scale behavioral, event, or product data.
• Proficiency with Python, shell scripting, batch and streaming data pipelines, orchestration tools, vector databases, and BigQuery/BigTable or equivalent systems.
• Experience with parallel or distributed ML environments, including GPU optimization, model serving, or large-scale training and inference workflows.
• Excellent communication with technical and non-technical audiences.

Nice to have

• Experience with browser automation, AI agents, or simulated user behavior.
• Background in e-commerce, search, recommendations, personalization, or buyer behavior modeling.
• Experience with sequence or behavior representation learning, recommender embeddings, HSTU-style architectures, vLLM/GPU serving, and Spark/GCS/Hugging Face-style data workflows.
• Experience translating research prototypes into reliable, production user-facing systems.

Culture & Benefits

• Digital-first daily work in a fast-moving environment with substantial change, complexity, and ambiguity.
• Independence, critical thinking, resilience, resourcefulness, and comfort with disagreement are valued.
• The role may require on-call work.
• The hiring process includes a technical interview loop with pair programming in the candidate's own IDE.

Hiring process

• hirify.global's hiring process moves quickly.
• The technical interview loop includes pair programming using the candidate's own IDE.