Engineering Manager, Machine Learning Infrastructure, Ads

Roblox
San Mateo
Workplace: OnsiteFull timeUSD 295,250 - 345,040 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Strategic planning","Mentoring","Collaboration","Team leadership","Engineering best practices"]

Lead a team of ML infrastructure engineers for Roblox Ads, building scalable, reliable, high-performance production systems that power model training, data pipelines, feature engineering, and inference. Own the architecture and engineering best practices for scalability, reliability, and cost-effectiveness across training and serving. Partner with data scientists, ML engineers, platform teams, and product stakeholders to ship robust ML platforms, while recruiting, mentoring, and growing the team.

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FursaFursa
Roblox
Roblox
1 month ago

Engineering Manager, Machine Learning Infrastructure, Ads

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Lead a team of ML infrastructure engineers for Roblox Ads, building scalable, reliable, high-performance production systems that power model training, data pipelines, feature engineering, and inference. Own the architecture and engineering best practices for scalability, reliability, and cost-effectiveness across training and serving. Partner with data scientists, ML engineers, platform teams, and product stakeholders to ship robust ML platforms, while recruiting, mentoring, and growing the team.
Location: San Mateo
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Lead strategic planning and roadmap execution for production-ready ML systems, including model training, data pipelines, feature engineering, and inference.
  • •Own ML infrastructure architecture and establish engineering best practices for scalability, reliability, and cost-effectiveness across training and serving.
  • •Partner with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate ML platforms.
  • •Recruit, mentor, and grow a high-performing team of ML infrastructure engineers.

Pay and Benefits

Salary: USD 295,250 - 345,040 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years designing, building, and deploying large-scale machine learning systems in production environments.
  • •2+ years managing ML infrastructure engineers.
  • •End-to-end execution building ML systems from data ingestion to production serving.
  • •Experience setting and improving team-first engineering practices, mentoring, and enabling others.
  • •BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.
Experience:5+ yearsMachine learningProduction systemsAdsModel trainingData pipelines
Skills:Strategic planningMentoringCollaborationTeam leadershipEngineering best practices
Languages:English
Tech Stack:Machine learningModel trainingData pipelinesFeature engineeringModel inference

Eligibility

Visa:H-1B

Company Brief

Roblox
Operates an online platform for user-generated games and virtual experiences, enabling creators to build, publish, and monetize interactive 3D experiences for a global community of players.
Industry: Gaming
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 Mateo, United States
Founded: 2004
WebsiteLinkedIn