Machine Learning Engineer, Next-Generation Recommendation Systems

Unity South APAC (SEA, ANZ, IND Subcont.); Town of Vernon (NY); On-site; USD 127,000 - 191,000; Full time

Job summary

Unity is seeking PhD graduates to advance Vector AI's ranking and recommendation models. You will design, build, and evaluate models that integrate LLMs, RLHF, and preference learning to improve ad relevance at scale.

The role involves developing conversion prediction and behavioral modeling across billions of impressions, applying RL and causal inference, and collaborating with engineering to deploy research into production. A strong publication record is highly valued.

Qualifications

• PhD in Computer Science, ML, Statistics or related field; graduating 2026 or recent.
• Strong foundation in recommendation systems, RL, LLMs, or optimization.
• Experience with large-scale data and ML systems, research or industry internships.
• Fluency in Python; familiarity with PyTorch or TensorFlow.
• Publications at NeurIPS/ICML/ACL or related venues are a strong signal.

Responsibilities

• Design, build, and evaluate next-generation ranking and recommendation models with LLMs, RLHF, and preference learning.
• Develop user understanding systems: conversion prediction, behavioral modeling, and value estimation at billions of impressions.
• Apply reinforcement learning and optimization to bidding, auctions, and real-time ad delivery.
• Run rigorous experiments using causal inference, A/B testing, and offline evaluation; partner with engineering to productionize ideas.

Skills

Python

PyTorch

TensorFlow

Publications

Communication

Reinforcement Learning

LLMs

Research

Production ML

RLHF

Education

PhD in CS/ML

Tools

PyTorch

TensorFlow

Hugging Face

MLflow

Job description

The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams.

What we're looking for

PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands‑on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact.

Additional information

Relocation support is not available for this position $127,400.00 - $191,200.00 This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate's relevant experience, professional background, and skill set.

Benefits

• Comprehensive health, life, and disability insurance
• Commute subsidy
• Employee stock ownership
• Competitive retirement/pension plans
• Generous vacation and personal days
• Support for new parents through leave and family-care programs
• Office food snacks
• Mental Health and Wellbeing programs and support
• Employee Resource Groups
• Global Employee Assistance Program
• Training and development programs
• Volunteering and donation matching program

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality.

Equal Opportunity

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators.

If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.

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