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Algorithm Expert Financial Foundation LLM

DiDi Global


Job Location:

San Jose, CA - USA

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (Yesterday)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Company Overview

DiDi Global Inc. is the worlds leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific Latin America and Africa including ride hailing taxi hailing chauffeur hitch and other forms of shared mobility as well as auto solutions food delivery intra-city freight and financial services.

DiDi provides car owners drivers and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers the taxi industry the automobile industry and the communities to solve the worlds transportation environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value by building a safe inclusive and sustainable transportation and local services ecosystem for cities of the future.

For more information please visit: Overview



Payment Risk Algorithm team is a core pillar of DiDis global Fintech business building MLdriven risk systems for fastgrowing LatinAmerican payment and wallet scenarios. We design endtoend fraud detection models to balance transaction security and user payment experience defending against payment fraud account compromise and emerging adversarial risks across overseas markets. You will collaborate closely with product engineering and regional business teams to ship highimpact algorithm capabilities that power financial expansion.


  • Masters degree or above in Computer Science Mathematics Statistics or a related field.

  • 3 years of deep learning algorithm R&D experience with hands-on experience building a pre-trained model from scratch and completing the full training pipeline.

  • Proficiency in Transformer architectures and variants (GPT/BERT/FT-Transformer/MoE) with practical sequence modeling experience.

  • Familiar with at least one mainstream deep learning framework (PyTorch preferred); experience with distributed training (multi-GPU / multi-node).

  • Solid experimental design skills: ability to independently conduct ablation studies and scaling-law experiments and draw reliable conclusions.

  • Strong engineering implementation skills; able to iterate efficiently on model code and training pipelines.


Nice to Have:


  • Modeling experience in financial risk control / anti-fraud / credit scoring.

  • Publications on Foundation Models / Self-Supervised Learning (NeurIPS/ICML/ICLR/KDD/WWW etc.).

  • Familiarity with Contrastive Learning ELECTRA cross-modal fusion and related techniques.

  • Experience with time-series / event-sequence modeling (e.g. TimeMixer TrajGPT).

  • Experience with graph neural networks or graph-based anomaly detection.

We are committed to building inclusive and diverse teams.

At DiDi we believe that our differences are our biggest source of strength. Thats why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.

Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender age sexual orientation nationality marital status pregnancy/maternity disability race religion and beliefs or any other status protected by applicable laws wherever we operate.

We are committed to building inclusive and diverse teams and a workplace that is free from discrimination and harassment because thats how we create better products and services make better decisions and better serve the communities were a part of.

I acknowledge that prior to submitting this application I have read and accepted the Privacy Notice for Candidates which is available on


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