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

2 weeks, 6 days ago
United States
Full-time
Entry Level
Machine Learning Engineer
Software Development
Feature Engineering LLM Machine Learning Python PyTorch Reinforcement Learning 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 rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks.
  • Partner with engineering teams to bring research ideas into production across the full ML pipeline from training data to deployed model.
  • Communicate findings clearly 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 foundation 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.
  • 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 considered a strong signal.
  • Strong written and verbal communication skills.
  • Industry experience in ads, recommendation, or user understanding systems is a plus.
  • Hands-on experience with production ML pipelines, including training at scale, feature engineering, or experimentation infrastructure, is preferred.
  • Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems is a plus.
  • Familiarity with agentic AI approaches, including multi-step reasoning, tool use, or human-AI collaboration frameworks, is a plus.
  • Exposure to causal inference, uplift modeling, or A/B testing at scale is a plus.
  • Relocation support is not available for this position.
  • Professional English communication skills are required for frequent global collaboration.

Benefits

  • Base salary range of $112,700 to $169,100 USD.
  • Eligibility 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.
  • Commute subsidy.
  • Employee stock ownership.
  • Office food and snacks.
  • Global Employee Assistance Program.
  • Volunteering and donation matching program.

Interested in this position?

Apply directly on the company website

Apply Now

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