Algorithm Engineer; Platform Governance), Global E-Commerce Technology - Algorithm Regular

ByteDance

Singapore, SG

Why this role

Pace

Fast Paced

Collaboration

Medium

Autonomy

Medium

Decision Impact

Individual

Role Level

Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

optimize-nlp-computer-vision-algorithms
apply-algorithms-to-e-commerce-scenarios
build-anti-fraud-models
support-production-of-scalable-ml-models

Typical background

1+ year of experience in related field

Transferable backgrounds

Coming from nlp
Coming from computer-vision

Skills & requirements

Required

NLPComputer-visionMulti-modal-algorithmsRisk-detectionAnti-fraud-modelsLinux-environment-r-dPython-go-c++

Preferred

Best-paper-awardsInternational-academic-competitions

Stack & domain

NLPComputer VisionMulti Modal AlgorithmsContent UnderstandingRisk RecognitionLow Quality/style Issue RecognitionAnti-fraud ModelIllegal Behavior RecognitionScalable And Optimized Ai/ml ModelsRealtime Data ExtractionTransformationLoadingAi/ml SolutionsTheoretical Data Science ModelsExperimentsBug ResolutionTeam SettingStatisticsScriptingProgramming LanguagesLinux Environment R&dPythonGoC++AnalysisProblem SolvingTeam SpiritCommunication SkillsE-commercePlatform GovernanceAi TechnologyRisk DetectionPlatform SecurityE-commerce EcosystemWork Efficiency

About the role

Original posting from ByteDance

Position: Algorithm Engineer (Platform Governance), Global E-Commerce Technology - Algorithm Regular
Algorithm Engineer (Platform Governance), Global E-Commerce
Location:
Team:
Algorithm
Employment Type:
Regular
Job Code: A143601
Responsibilities
About the team:
The Platform Governance team is focused to support the businesses by building the E-commerce ecosystem and improve platform service capabilities with the most advanced AI technology. The team use the most advanced AI technology to combat various risks/violations in Bytedance's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability.
The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.
Optimization of NLP/Computer Vision/Multi Modal algorithms for content understanding, and applying them to the scenarios of e-Commerce.
Responsible for the recognition of the risk/low quality/style issue in the e-Commerce scenario (including product, shopping video, shopping livestream etc) and applying them to review system or recommendation traffic control.
Responsible for recognition and control of the risky seller and low-quality e-Commerce anchors via user profile.
Responsible for building the anti-fraud model to recognize illegal behaviors and events in the e-Commerce scenario.
Support the production of scalable and optimised AI/machine learning (ML) models.
Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models.
Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
Work with the relevant software platforms in which the models are deployed.
Minimum Qualifications
At least 1 year of experience in related field.
Computer Science or related major, bachelor's degree or above.
Master machine learning/deep learning theoretical knowledge, and have rich practical experience.
Familiar with 1-2 fields in Data Mining, NLP, Computer Vision or Graph Algorithm.
Possess Linux environment R&D capabilities, proficient in Python/Go/C++.
Excellent analysis and problem-solving skills, passion for challenging problems.
Have a good team spirit and strong communication skills.
Preferred Qualifications
Received best paper or equivalent awards in the aforementioned conferences.
Winner of international academic competitions.
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Source: ByteDance careers