Senior Data Scientist II at Remitly

Shanghai, Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, FintechIndustries

Requirements

Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.)
5+ years of hands-on machine learning / data science experience
Proven delivery experience in multimodal (vision + text) or complex document understanding
Practical cases of orchestrating agents (or modular processing logic) in production workflows
Solid foundation in machine learning / deep learning fundamentals, multimodal representations, and cross-modal alignment concepts
Deep understanding of core principles and common algorithms for multimodal large models: cross-modal attention & representation alignment, vision/text embedding fusion, hierarchical & layout structure modeling, instruction & contrastive paradigms, long-context and retrieval-augmented mechanisms, evaluation and failure mode dissection
Tools & Practices (general): multimodal modeling, model evaluation & tracking, experiment automation, data processing, and service-oriented deployment (without binding to specific frameworks)
Python engineering excellence: testing (pytest), packaging, reproducible environments, profiling (cProfile, line_profiler), and data workflow automation
Preferred / Nice to Have
Led or designed customization / fine-tuning of multimodal foundation models, representation learning, or structural understanding subsystems
Built an agent orchestration platform: task decomposition, iterative self-checks, consensus or voting mechanisms
Experience solving robustness & generalization challenges in large-scale long documents / heterogeneous layouts
Demonstrated results in cost optimization (model pruning, parameter-efficient tuning, inference acceleration) or adaptive load scheduling
First-author or corresponding publications in top-tier venues (NeurIPS / ICML / ICLR / ACL / EMNLP / CVPR / ECCV / KDD) or granted high-impact patents
Core maintainer / significant contributor to relevant multimodal, LLM, agent orchestration, retrieval, or evaluation open-source projects
Demonstrated Python systems optimization (e.g., custom Cython / CUDA kernels, vectorization replacing Python loops, latency reductions in inference pipelines)

Responsibilities

Design and iterate the multimodal document parsing pipeline: layout / structural modeling, semantic extraction, cross-modal alignment, structural reconstruction
Build and optimize a multi-agent collaboration mechanism: task splitting, parallel / sequential scheduling, peer review, iterative quality improvement loops
Define model selection / composition / routing strategies (dynamic dispatch by document type, structural patterns, quality signals)
Plan and execute model fine-tuning, domain adaptation, continual learning, active learning, and data feedback loops
Establish end-to-end metrics: extraction accuracy, structural consistency, agent collaboration effectiveness, latency, stability, and cost
Build quality assurance and risk controls: drift & anomaly monitoring, confidence estimation, fallback strategies, alignment / compliance checks
Drive mapping and consistency between agent / model outputs and business knowledge field standards

Skills

Key technologies and capabilities for this role

Multimodal AIDocument UnderstandingVision Language ModelsLayout AnalysisSemantic ExtractionMulti-Agent SystemsModel Fine-TuningContinual LearningActive LearningMachine LearningData SciencePDF ParsingStructural ReconstructionQuality ValidationDrift Monitoring

Questions & Answers

Common questions about this position

What education is required for the Senior Data Scientist II role?

A Master’s degree or above in a quantitative or technical field such as Statistics, Computer Science, Mathematics, or Data Science is required.

What experience is needed for this position?

Candidates need 5+ years of hands-on machine learning or data science experience, proven delivery in multimodal or complex document understanding, and practical cases of orchestrating agents in production workflows.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or what is the work location?

This information is not specified in the job description.

What key skills make a strong candidate for this role?

Strong candidates have a solid foundation in machine learning fundamentals, multimodal representations, cross-modal alignment, Python engineering excellence including testing and profiling, and experience with multimodal modeling and agent orchestration.

Remitly

International money transfer for immigrants

About Remitly

Remitly focuses on international money transfers, helping immigrants send money to their families quickly and securely at lower costs than traditional banks. The company charges transaction fees and earns from the exchange rate margin, offering various transfer options like bank deposits and cash pickups. Remitly enhances user experience through its website and mobile app, allowing real-time tracking of transfers, and engages with immigrant communities by providing helpful resources and educational support. Its goal is to meet the unique needs of immigrants while ensuring fast, affordable, and reliable money transfer services.

Seattle, WashingtonHeadquarters

2011Year Founded

$423.9MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Continuing Education or Travel Stipend

Office Culture

Flexible PTO, Schedules and Leaves

DEI Learning Opportunities

Community Engagement

Inclusive Benefits

Risks

Swift's integration into banks' channels poses a competitive threat to Remitly.

AI agents' rise may challenge Remitly's operational model in efficiency and cost-effectiveness.

Schall Law Firm's investigation could impact investor confidence and Remitly's reputation.

Differentiation

Remitly focuses on immigrants, offering competitive rates and fast, secure transactions.

The company leverages technology for a seamless user experience via its app and website.

Remitly engages with immigrant communities through content and educational initiatives.

Upsides

Increased digital wallet adoption in key markets expands Remitly's reach to unbanked individuals.

AI agents in operations could reduce costs and improve Remitly's efficiency.

Visa collaboration enhances Remitly's cross-border fund flow services, boosting customer satisfaction.

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