algorithm engineering

JD Tech Talk

May 27, 2025 · Artificial Intelligence

Solving Real-World AI Challenges at JD Retail: Reward Model Ensembles, Query Expansion, and Model Pruning

This article recounts how JD Retail's young algorithm engineers tackled diverse AI problems—optimizing reward‑model ensembles for ad image generation, building large‑language‑model‑based query expansion, and pruning diffusion models with FFT and RDP—while sharing their technical approaches, code snippets, and growth reflections.

AIalgorithm engineeringlarge language models

0 likes · 14 min read

Solving Real-World AI Challenges at JD Retail: Reward Model Ensembles, Query Expansion, and Model Pruning

DataFunSummit

Feb 7, 2025 · Artificial Intelligence

Fusion Ranking and Multi-Objective Optimization in Recommendation Systems

This article introduces the role of ranking formulas in recommendation systems, compares sequence and value fusion methods, discusses multi‑objective trade‑offs, explains offline parameter search principles, and demonstrates the open‑source ParaDance framework for automated ranking formula optimization.

Recommendation systemsalgorithm engineeringmulti-objective

0 likes · 17 min read

Fusion Ranking and Multi-Objective Optimization in Recommendation Systems

DataFunSummit

Oct 14, 2023 · Artificial Intelligence

Career Planning for Algorithm Engineers: Stages, Strategies, and Skill Development

This article outlines the three key career stages for algorithm engineers, offers practical planning advice through vision, self‑evaluation and action, and discusses industry trends, skill‑building paths, mindset, and work‑life balance to help engineers navigate a volatile tech landscape.

AIRecommendation systemsalgorithm engineering

0 likes · 29 min read

Career Planning for Algorithm Engineers: Stages, Strategies, and Skill Development

DataFunSummit

Sep 17, 2023 · R&D Management

Career Development and Core Competencies for Algorithm Engineers

This article presents a comprehensive guide on algorithm engineering as a profession, outlining its definition, common misconceptions, key career stages, essential core qualities, and practical advice on choosing between technical and management tracks, selecting industries and companies, and balancing personal growth with professional advancement.

algorithm engineeringcareer developmentcore competencies

0 likes · 13 min read

Career Development and Core Competencies for Algorithm Engineers

DataFunTalk

Sep 11, 2023 · Artificial Intelligence

Career Development and Core Competencies for Algorithm Engineers

This article outlines the definition of an algorithm engineer, debunks common misconceptions, describes the four key career stages, highlights essential personal qualities, discusses how to choose between technical and managerial tracks, and offers practical advice on industry, company selection, and sustainable professional growth.

AIalgorithm engineeringcareer development

0 likes · 13 min read

DataFunTalk

Apr 22, 2023 · Artificial Intelligence

Career Planning for Algorithm Engineers: Stages, Strategies, and Technical Development

This article provides algorithm engineers with a comprehensive career roadmap covering three key professional stages, practical planning advice, technical skill sharpening, industry trend analysis, and a detailed Q&A to help navigate the volatile tech job market.

AIIndustry TrendsRecommendation systems

0 likes · 28 min read

Career Planning for Algorithm Engineers: Stages, Strategies, and Technical Development

DataFunTalk

Feb 11, 2023 · Information Security

Challenges and Trends in Privacy Computing: Insights from Alibaba Cloud Datatrust Architect Liang Aiping

The interview with Alibaba Cloud Datatrust architect Liang Aiping reveals that privacy computing is still in its early stage, facing technical challenges in data sources, algorithm theory‑engineering gaps, system management interoperability, and product trade‑offs, while outlining future trends toward cross‑platform interoperability and distributed computing.

algorithm engineeringdata securityinteroperability

0 likes · 13 min read

Challenges and Trends in Privacy Computing: Insights from Alibaba Cloud Datatrust Architect Liang Aiping

DataFunTalk

Jan 25, 2023 · Artificial Intelligence

Between Heaven and Earth: Reflections of an Algorithm Engineer

The article argues that algorithm engineers should move beyond a narrow focus on deep‑learning models, emphasizing the importance of system architecture, data quality, and thoughtful problem framing to break through performance plateaus in advertising and recommendation systems.

Recommendation systemsSystem Architectureadvertising

0 likes · 10 min read

Between Heaven and Earth: Reflections of an Algorithm Engineer

HelloTech

May 30, 2022 · Artificial Intelligence

Harbor's Passive Growth Algorithms and Growth Engine: Practices and Insights

Harbor’s growth engine combines a passive, attribution‑driven traffic‑allocation algorithm with componentized ranking, search, and marketing systems—using pairwise/Listwise models, multi‑task CTR/CVR prediction, and automated strategy triggers—to align short‑term efficiency with long‑term LTV goals while moving toward causal inference and domain‑expert‑driven general models.

AIRankingRecommendation systems

0 likes · 11 min read

Harbor's Passive Growth Algorithms and Growth Engine: Practices and Insights

Alimama Tech

Jan 5, 2022 · Artificial Intelligence

2021 Review of Alibaba Mama Technology: Advertising Algorithms, AI Research, Open‑Source Projects and Conference Papers

The 2021 Alibaba Mama Technology review, covering its May launch and 237‑day output of 50 technical articles on advertising algorithms, system engineering, intelligent creativity, risk control, plus two open‑source projects and numerous SIGIR, KDD, CIKM and CVPR papers, highlights data‑science, marketing series and engineer‑growth stories.

Advertising TechnologyArtificial IntelligenceResearch Papers

0 likes · 5 min read

2021 Review of Alibaba Mama Technology: Advertising Algorithms, AI Research, Open‑Source Projects and Conference Papers

DataFunTalk

Nov 1, 2021 · Artificial Intelligence

Reflections on Working as an Algorithm Engineer at Meituan and the Rise of Contrastive Learning

The author shares personal experiences as a Meituan algorithm engineer, emphasizing the critical role of labeled data, the emergence of contrastive (self‑supervised) learning across computer vision, NLP, and recommendation systems, and offers practical advice for algorithm engineers to stay competitive.

AI researchMeituanalgorithm engineering

0 likes · 8 min read

Reflections on Working as an Algorithm Engineer at Meituan and the Rise of Contrastive Learning

DataFunTalk

Jul 26, 2021 · Artificial Intelligence

Essential Skills for Algorithm Engineers in a Highly Competitive Landscape

The article outlines the core abilities algorithm engineers need—strong data analysis, solid coding and engineering practices, problem definition, product mindset, and continuous learning—illustrated with real project cases and practical advice for thriving in today’s increasingly competitive tech environment.

AICareer Advicealgorithm engineering

0 likes · 14 min read

Essential Skills for Algorithm Engineers in a Highly Competitive Landscape

Tencent Advertising Technology

Jul 7, 2021 · Artificial Intelligence

Multimedia AI in Advertising and Experimental Design for Two-Sided Markets: Key Insights from Tencent's Algorithm Competition

This article summarizes key insights from a Tencent technical live stream, detailing how artificial intelligence enhances advertising efficiency and recommendation accuracy, outlines future AI research and application trends, discusses essential hiring criteria for algorithm engineers, and introduces experimental design challenges in two-sided market platforms.

A/B testingAdvertising TechnologyArtificial Intelligence

0 likes · 5 min read

Multimedia AI in Advertising and Experimental Design for Two-Sided Markets: Key Insights from Tencent's Algorithm Competition

DataFunTalk

May 21, 2021 · Artificial Intelligence

Beyond Technology: Key Concepts for Algorithm Engineers to Accelerate Their Growth

The author reflects on years of experience as an algorithm engineer and argues that solving problems should not be tied to specific technologies, offering three practical principles—avoiding obsession with the newest tools, supplementing technology with money, communication, and management, and broadening one’s technical horizon—to help engineers advance their skills and deliver real‑world impact.

AICareer AdviceSoftware Development

0 likes · 9 min read

Beyond Technology: Key Concepts for Algorithm Engineers to Accelerate Their Growth

DataFunTalk

Oct 6, 2020 · Artificial Intelligence

Optimizing Individual Diversity in Recommendation Systems: Architecture, Algorithms, and Practical Implementation

This article presents a comprehensive approach to improving recommendation system performance by optimizing individual diversity, detailing architectural layers, practical implementations of MMR and DPP algorithms, custom distance metrics, experimental results, and their impact on key business metrics such as click‑through and view rates.

Custom DistanceDPPDiversity Optimization

0 likes · 17 min read

Optimizing Individual Diversity in Recommendation Systems: Architecture, Algorithms, and Practical Implementation

Amap Tech

Feb 27, 2020 · Backend Development

Integrated Algorithm Engineering and Serverless Architecture for Rapid Business Iteration

By unifying algorithm development, engineering, and a serverless gateway, the platform creates a stateless, automated pipeline that lets Python‑based services be deployed instantly, supports rapid low‑traffic iteration, scales with high‑performance runtimes, and ensures quality through automated testing, accelerating business evolution from startup to mature stages.

Cloud Computingalgorithm engineeringquality assurance

0 likes · 11 min read

Integrated Algorithm Engineering and Serverless Architecture for Rapid Business Iteration

DataFunTalk

Sep 26, 2019 · Artificial Intelligence

NLP Algorithm Practices in Alibaba's Brand Advertising

This article presents a comprehensive overview of Alibaba's brand advertising business model, its technical architecture, and the practical application of NLP algorithms—specifically brand intent recognition and short‑text relevance—detailing model evolution, evaluation results, and future research directions.

BERTBrand AdvertisingNLP

0 likes · 14 min read

360 Tech Engineering

Aug 8, 2019 · Artificial Intelligence

Recommendation System Optimization: Lessons, AB Testing Cycles, and Practical Principles

This article shares extensive practical experience on recommendation system optimization, outlining the importance of problem definition, the limits of AB testing, and four guiding principles—avoid fundamentally wrong actions, do the right things correctly, keep solutions simple, and prevent over‑optimization.

A/B testingalgorithm engineeringmachine learning

0 likes · 9 min read

Recommendation System Optimization: Lessons, AB Testing Cycles, and Practical Principles

DataFunTalk

Oct 24, 2018 · Artificial Intelligence

The Technical Growth Path of an Algorithm Engineer in the Big Data Era

This article summarizes Zeng Xianglin’s presentation on the stages of an algorithm engineer’s career—from academic Beta research and feature engineering through online deployment, model training, and deep‑learning applications—highlighting practical challenges and best practices in large‑scale advertising systems.

Big Dataalgorithm engineeringdeep learning

0 likes · 13 min read

The Technical Growth Path of an Algorithm Engineer in the Big Data Era