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Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)

1 month, 1 week ago
United States
Full-time
Entry Level
Machine Learning Engineer
Software Development
Feature Engineering LLM Machine Learning Python PyTorch Reinforcement Learning Statistics TensorFlow
Apply Now
Unity

Unity

Unity is the top platform for real-time 3D content creation, empowering creators across industries to bring their ideas to life with interactive 2D and 3D content.

Internet Software & Services
5K-10K
Founded 2004
View All Jobs 125

Description

  • Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning.
  • Develop user understanding systems for conversion prediction, behavioral modeling, and value estimation at massive scale.
  • Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery.
  • Design and run experiments using causal inference, A/B testing, and offline evaluation to measure model quality.
  • Partner with engineering teams to move research ideas from training data through deployment into production systems.
  • Communicate research findings and recommendations to technical and non-technical stakeholders across engineering, product, and business teams.

Requirements

  • PhD in Computer Science, Machine Learning, Statistics, or a related field, graduating in 2026 or a recent graduate.
  • Strong research foundations in recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization.
  • Experience working with large-scale data and machine learning systems through research or industry internships.
  • Fluency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Track record of rigorous, high-quality research, with publications at venues such as NeurIPS, ICML, ICLR, KDD, RecSys, ACL, or WWW seen as a strong signal.
  • Strong written and verbal communication skills with the ability to explain complex ideas to technical and non-technical audiences.
  • Industry experience in ads, recommendation, or user understanding systems is preferred, and internship experience counts.
  • Hands-on experience with production ML pipelines, including 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 such as multi-step reasoning, tool use, or human-AI collaboration frameworks.
  • Exposure to causal inference, uplift modeling, or large-scale A/B testing.
  • English proficiency for frequent professional verbal and written communication with global colleagues and partners.

Benefits

  • Base salary range of $112,700 to $169,100 USD.
  • Eligible for equity awards and participation in company incentive plans, such as annual discretionary bonuses or sales commissions.
  • Comprehensive health, life, and disability insurance.
  • Competitive retirement or pension plans.
  • Generous vacation and personal days.
  • Support for new parents through leave and family-care programs.
  • Mental health and wellbeing programs and support.
  • Training and development programs, plus volunteering and donation matching programs.
  • Commute subsidy and employee stock ownership.

Interested in this position?

Apply directly on the company website

Apply Now

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