Machine Learning Engineer, Next-Generation Recommendation Systems

Unity Software
New York, Bellevue, Mountain View
Workplace: OnsiteFull timeUSD 127,400 - 191,200 annuallyFunction: Data Science & Machine LearningEducation: phdSkills: ["Communication","Research rigor","Stakeholder alignment","Collaboration","Curiosity"]

Build next-generation ad recommendation and ranking systems for billions of monthly game-engine users. Design and evaluate models using LLMs, RLHF, preference learning, and reinforcement learning to improve relevance, conversion, value estimation, and real-time bidding outcomes. Run causal inference, A/B testing, and offline evaluations, and partner with engineering to deploy research ideas end-to-end from training data to production models while communicating results across technical and non-technical teams.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Unity Software
Unity Software
2 months ago

Machine Learning Engineer, Next-Generation Recommendation Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 57 minutes agoStatus: Live

Job Summary

Build next-generation ad recommendation and ranking systems for billions of monthly game-engine users. Design and evaluate models using LLMs, RLHF, preference learning, and reinforcement learning to improve relevance, conversion, value estimation, and real-time bidding outcomes. Run causal inference, A/B testing, and offline evaluations, and partner with engineering to deploy research ideas end-to-end from training data to production models while communicating results across technical and non-technical teams.
Location: New York, Bellevue, Mountain View
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Design, build, and evaluate next-generation ranking and recommendation models incorporating LLMs, RLHF, and preference learning.
  • •Develop user understanding systems such as conversion prediction, behavioral modeling, and value estimation across large impression volumes.
  • •Apply reinforcement learning and optimization 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 model quality improvements.
  • •Partner with engineering to bring research into production and communicate findings to technical and non-technical stakeholders.

Pay and Benefits

Salary: USD 127,400 - 191,200 annually
Perks:Health InsuranceLife InsuranceDisability InsuranceCommuter BenefitsRetirementPaid LeavePersonal DaysParental LeaveLearning BudgetEmployee Assistance

Key Requirements

  • •PhD in Computer Science, Machine Learning, Statistics, or related field (graduating 2026 or recent graduate).
  • •Strong research background in recommendation systems, reinforcement learning, LLM post-training/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 ML frameworks such as PyTorch or TensorFlow.
  • •Demonstrated research quality (e.g., publications at venues like NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW) and strong written/verbal communication.
Experience:Machine learningRecommendation systemsAdsReinforcement learningLarge-scale dataLLMs
Education:PhD / Doctorate in Computer Science, Machine Learning, Statistics (or related field)
Skills:CommunicationResearch rigorStakeholder alignmentCollaborationCuriosity
Languages:English
Tech Stack:PythonLLMsLLM post-trainingRLHFReinforcement learningPyTorchTensorFlowA/B testingCausal inferenceOffline evaluation

Company Brief

Unity Software
Develops the Unity real-time 3D development platform used to create, operate, and monetize interactive experiences and games across mobile, console, PC, and AR/VR platforms. Serves developers, studios, and enterprises worldwide.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2004
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn