ML Engineer (AI)

TL;DR

ML Engineer (AI): Building and optimizing workforce intelligence models on behavioral data with an accent on predictive task outcomes and intelligent automation. Focus on fine-tuning foundation models, designing robust training pipelines, and deploying performant inference systems into production.

Salary: $80K–$160K

Company

hirify.global is a workforce and workflow intelligence platform that leverages machine learning to help teams predict outcomes and optimize productivity.

What you will do

• Train, fine-tune, and evaluate ML models using real-world workflow and behavioral data.
• Build predictive models for capacity forecasting, productivity trends, and task optimization.
• Refine large language and embedding models for domain-specific classification and prediction tasks.
• Design and maintain end-to-end feature pipelines and model evaluation frameworks.
• Integrate production-ready models into core application systems.
• Monitor and iterate on model performance based on live data feedback loops.

Requirements

• Strong foundation in Python and applied machine learning.
• Experience training supervised and self-supervised learning models.
• Proven ability to manage the full ML lifecycle from raw data to production inference.
• Hands-on experience with model fine-tuning and evaluation workflows.
• Pragmatic mindset with a strong bias toward shipping functional models.
• Comfortable working in a fast-paced, experimental startup environment.

Nice to have

• Experience fine-tuning large language models or embedding models.
• Familiarity with PyTorch or TensorFlow frameworks.
• Background in time series forecasting or graph-based learning.
• Experience working with messy, real-world product data.

Culture & Benefits

• Direct collaboration with founders and cross-functional product teams.
• Opportunity to own the core learning backbone of a growing platform.
• Impactful work that directly shapes how teams perform.
• Flexible work environment with a focus on iteration speed and individual ownership.