Machine Learning Engineer (AI)

Location: San Francisco, CA; hybrid. Flexible arrangements may be considered for candidates in other locations, especially where an office is available, such as San Francisco or New York.

Company

hirify.global develops and deploys autonomous systems for heavy construction equipment to improve job-site safety and accelerate critical infrastructure projects.

What you will do

• Design, train, validate, and launch behavior cloning and reinforcement learning models.
• Develop and maintain data ingestion, labeling, and management pipelines for high-quality training datasets.
• Build metrics to evaluate model performance in open-loop testing, simulation, and real-world deployments.
• Collaborate with simulation, systems, and infrastructure teams to integrate ML models into autonomous systems.
• Deploy and debug models in physical environments, addressing latency, hardware constraints, and system integration issues.

Requirements

• 3+ years of practical experience applying machine learning with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 3+ years of professional experience building, deploying, and maintaining machine learning models in production.
• Familiarity with recent literature and methods for learned behavior policies.
• Practical experience with behavior cloning and/or reinforcement learning.

Nice to have

• Experience with diffusion policies, Vision-Language-Action models, or related technologies.
• Published research in conferences such as ICRA, IROS, CoRL, CVPR, ECCV, ICCV, ICML, or NeurIPS.

Culture & Benefits

• Work alongside construction professionals and engineers on physical-world autonomy problems.
• Contribute to real-world deployments rather than purely simulated AI systems.
• Inclusive workplace with equal employment opportunities and reasonable accommodations throughout the hiring process.