Applied ML Engineer (Recommendation Systems)

Location: Hybrid, Boston

Company

hirify.global is a startup spun out of MIT CSAIL, building general-purpose, efficient AI systems for enterprise partners across industries like automotive, life sciences, and finance.

What you will do

• Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads.
• Translate customer requirements into concrete specifications for recommendation models.
• Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale.
• Fine-tune and adapt large-scale sequential recommendation models for customer-specific use cases.
• Design task-specific evaluations for model performance, including ranking quality, latency, and throughput.
• Build reusable applied tooling and workflows to accelerate future customer engagements.

Requirements

• Hands-on experience building or fine-tuning recommendation models at scale.
• Experience with sequential recommendation architectures, user behavior modeling, or large-scale ranking systems.
• Strong intuition for data quality and evaluation design in recommendation contexts.
• Experience with large-scale data pipelines for user interaction data and feature engineering.
• Proficiency in Python and PyTorch with autonomous coding and debugging ability.

Nice to have

• Experience with transformer-based recommendation architectures (HSTU, SASRec, BERT4Rec).
• Experience delivering recommendation systems to external customers with measurable business outcomes.
• Familiarity with serving recommendation models under latency and throughput constraints.

Culture & Benefits

• Competitive base salary with equity in a unicorn-stage company.
• 100% coverage of medical, dental, and vision premiums for employees and dependents.
• 401(k) matching up to 4% of base pay.
• Unlimited PTO plus company-wide Refill Days.