Recommender System Engineer, AI-Driven (PICO-Lab) - San Jose

ByteDance
San Jose
Workplace: OnsiteFull timeFunction: Laboratory & Clinical OperationsExperience: 5+ yearsSkills: ["Communication","Cross-functional collaboration"]

Build and productionize recommendation models for next-gen XR products, including collaborative filtering, content-based, hybrid, and deep learning approaches. Design low-latency, high-scale ranking and retrieval pipelines, and partner cross-functionally to define personalization strategy. Run offline/online A/B experiments and iterate using CTR, retention, and revenue lift. Improve feature stores, data pipelines, and model monitoring, contributing to MLOps with CI/CD, model versioning, and observability.

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FursaFursa
ByteDance
ByteDance
1 month ago

Recommender System Engineer, AI-Driven (PICO-Lab) - San Jose

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 30 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build and productionize recommendation models for next-gen XR products, including collaborative filtering, content-based, hybrid, and deep learning approaches. Design low-latency, high-scale ranking and retrieval pipelines, and partner cross-functionally to define personalization strategy. Run offline/online A/B experiments and iterate using CTR, retention, and revenue lift. Improve feature stores, data pipelines, and model monitoring, contributing to MLOps with CI/CD, model versioning, and observability.
Location: San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Laboratory & Clinical Operations
Seniority: Mid level

Key Responsibilities

  • •Build and productionize recommendation models using collaborative filtering, content-based, hybrid, and deep learning approaches.
  • •Design ranking and retrieval pipelines for low-latency, high-scale serving.
  • •Partner with product, data science, and engineering to define personalization strategy.
  • •Run offline/online experiments (A/B tests) and iterate using metrics such as CTR, retention, and revenue lift.
  • •Improve data pipelines, feature stores, and model monitoring; contribute to MLOps with CI/CD, model versioning, and observability.

Key Requirements

  • •5+ years experience in machine learning engineering, recommendation systems, or ranking.
  • •Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow.
  • •Experience with large-scale data tools including Spark, Kafka, Airflow, and SQL.
  • •Hands-on experience deploying ML models to production.
  • •Solid understanding of relevance/ranking metrics and experimentation methodology.
Experience:5+ yearsMachine learningRecommendation systemsXRWearablesMLOps
Skills:CommunicationCross-functional collaboration
Tech Stack:PythonPyTorchTensorFlowSparkKafkaAirflowSQLA/B testingMLOpsCI/CDModel versioningObservabilityFeature stores

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn