Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Building and optimizing AI models and scalable ML systems for an autonomous AI workforce infrastructure with an accent on MLOps, NLP, and real-time inference. Focus on designing end-to-end ML pipelines, implementing robust model deployment practices, and transforming cutting-edge research into production-ready systems.

Location: Hybrid in Spain

Company

hirify.global is an AI infrastructure startup, backed by a16z and Y Combinator, building autonomous AI workers for global enterprises.

What you will do

• Design, build, and maintain scalable ML systems from data ingestion to deployment.
• Develop and optimize end-to-end ML pipelines to ensure reliability and reproducibility.
• Implement robust MLOps practices, including model versioning, experiment tracking, and CI/CD for ML.
• Collaborate with product and engineering teams to integrate models into real-time products.
• Ensure data quality, observability, and performance across all AI systems.
• Research and integrate the latest AI infrastructure, tooling, and research.

Requirements

• Strong experience in machine learning, deep learning, and NLP.
• Solid background in MLOps and production data pipelines.
• Proficiency in Python and familiarity with Go.
• Experience with ML lifecycle management tools such as MLflow, Kubeflow, or Weights & Biases.
• Ability to design ML systems for robustness, scalability, and automation.
• Must be based in or able to work hybrid in Spain.

Nice to have

• Experience in speech recognition, TTS, or audio processing.
• Familiarity with LLMs, generative AI, or real-time inference systems.
• Hands-on experience with data orchestration frameworks like Airflow, Prefect, or Dagster.
• Prior experience in startup environments with fast iteration cycles.
• Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization (Docker, Kubernetes).

Culture & Benefits

• Competitive salary and equity in a high-growth AI startup.
• Comprehensive healthcare, dental, and vision coverage.
• High degree of ownership and autonomy over projects.
• Work with a world-class team of engineers and builders.
• Culture rooted in extreme ownership, craftsmanship, and meritocracy.