Backend Applied Machine Learning Engineer Graduate (AML Efficiency Tool) - 2027 Start

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Self-motivation","Learning ability","Team collaboration","Documentation"]

Build and evolve Lagrange, the central console platform supporting AI-related engineering workflows across the organization. Analyze user needs and develop scalable software solutions with long-term impact across platform architecture, engineering productivity, system scalability, and operational intelligence. Create infrastructure and platform capabilities to make large-scale AI development more efficient, reliable, and intelligent, while improving automation and availability for distributed recommendation services.

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FursaFursa
ByteDance
ByteDance
3 days ago

Backend Applied Machine Learning Engineer Graduate (AML Efficiency Tool) - 2027 Start

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Build and evolve Lagrange, the central console platform supporting AI-related engineering workflows across the organization. Analyze user needs and develop scalable software solutions with long-term impact across platform architecture, engineering productivity, system scalability, and operational intelligence. Create infrastructure and platform capabilities to make large-scale AI development more efficient, reliable, and intelligent, while improving automation and availability for distributed recommendation services.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Build and evolve Lagrange, the central console platform supporting AI-related engineering workflows across the organization.
  • •Analyze user needs and develop software solutions applying computer science, engineering, and mathematical analysis.
  • •Work on complex problems with long-term impact across platform architecture, engineering productivity, system scalability, and operational intelligence.
  • •Integrate AI into engineering and operations workflows in practical, scalable ways.
  • •Create infrastructure and platform capabilities to make large-scale AI development more efficient, reliable, and intelligent.

Key Requirements

  • •Completing or recently completed a Bachelor's or Master's degree in computing or a related discipline.
  • •Proficient in at least one of Python, Golang, or C++ with solid coding practices.
  • •Proficient with storage and middleware systems such as MySQL, Redis, and MQ, including basic troubleshooting and performance tuning.
  • •Familiar with Python frameworks/libraries (Flask, Celery, Django, Tornado, NumPy) or Go frameworks (Beego, Gin, Gorm, Sarama, gRPC-Go).
  • •Familiar with time-series/data components (OpenTSDB, Prometheus, InfluxDB) and OLAP databases like ClickHouse.
Experience:Machine learningRecommendation systemsDistributed systems
Education:
Skills:CommunicationSelf-motivationLearning abilityTeam collaborationDocumentation
Tech Stack:PythonGolangC++MySQLRedisMQFlaskCeleryDjangoTornadoNumPyBeegoGinGormSaramaGRPC-GoOpenTSDBPrometheusInfluxDBClickHouse

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