Lead AI Engineer — Personalization & Ranking

Minfy Technologies; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Minfy Technologies is seeking an AI Engineer to lead a personalization and ranking initiative for a large-scale consumer marketplace. You will set the technical direction, make key modeling decisions, and stay hands-on through production-readiness.

You will act as a senior technical contact with the customer, designing a structured PoC to measure lift from GenAI-based profiles, and own the deep-learning ranking model, embeddings, and feature integration.

Qualifications

• 10+ years in applied ML/data science with recommender systems or large-scale personalization.
• Production experience with LLMs, embeddings, and feature/profiles integration.
• Experience enabling customer-facing technical leadership and AI deployments.

Responsibilities

• Own technical strategy for personalization in a production ranking system and guide modeling decisions.
• Stay hands-on: build features, train models, run experiments, and write critical code.
• Set technical bar, mentor engineers, and review designs.
• Serve as senior technical point of contact with customers, communicating risks and progress.
• Design and run a PoC program comparing GenAI profiles vs. traditional features.
• Engineer user-level features from large behavioral data and integrate LLM-generated profiles.
• Own deep-learning ranking model with multi-task architectures, hyperparameter tuning, and bias correction.
• Define offline evaluation framework (NDCG, MRR, Precision/Recall at K) and analyze cohorts.
• Plan production path: serving, scheduling, shadow testing, and A/B readiness.

Skills

Recommender systems

Learning-to-rank

Large-scale personalization

LLMs in production

PyTorch

TensorFlow

Python

AWS

MLOps

Mentoring engineers

Communication with stakeholders

Education

Advanced degree in CS/ML

Tools

Amazon Bedrock

Job description

Minfy Technologies is seeking an AI Engineer to lead a personalization and ranking initiative for a large-scale consumer marketplace. You will set the technical direction, make key modeling decisions, and stay hands-on through production-readiness.

You will act as a senior technical contact with the customer, designing a structured PoC to measure lift from GenAI-based profiles, and own the deep-learning ranking model, embeddings, and feature integration.