# Machine Learning Engineer, Next-Generation Recommendation Systems

Hiring organization: [Unity](https://career.thegoodapps.co/organizations/unity)

Canonical page: https://career.thegoodapps.co/jobs/19ba6fe3-c337-438f-9091-c36d01ab5615

Listed on Unity's own careers site. Applications go to them directly.

- Seniority: Junior
- Salary: 127400 – 191200 USD per year

## Summary

This role designs and deploys machine learning systems that power ad recommendations across billions of game players, focusing on next-generation techniques like large language models and reinforcement learning. It's suited to recent PhD graduates with strong research foundations who want to move cutting-edge AI ideas into production at massive scale.

_Our summary, not Unity's wording._

## Skills named

A/B Testing, Machine Learning, Python, PyTorch, Reinforcement Learning, TensorFlow

## Required

- PhD in Computer Science, Machine Learning, Statistics, or related field, graduating 2026 or recent graduate
- Strong research foundations in recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization
- Experience with large-scale data and ML systems through research or industry internships
- Fluency in Python and familiarity with PyTorch or TensorFlow
- Track record of rigorous research with publications at top-tier venues
- Strong written and verbal communication skills

## Nice to have

- Industry experience in ads, recommendation, or user understanding systems
- Hands-on experience with production ML pipelines and feature engineering
- Experience applying LLMs or generative models to ranking or retrieval problems
- Familiarity with agentic AI approaches and multi-step reasoning
- Exposure to causal inference, uplift modeling, or large-scale A/B testing
- Curiosity about applied research and drive to see ideas through to impact

Apply on Unity's site: https://unitytech.wd1.myworkdayjobs.com/en-US/Unity/job/New-York-NY-USA/Machine-Learning-Engineer--Next-Generation-Recommendation-Systems_JOBREQ-2616159