Recommendation Algorithm Engineer
16 days
100+ Recommendation Jobs - October 2026 - High Salaries
Showing 130 jobs results for
"recommendation"
Recommendation Algorithm Engineer
- Build scalable feature engineering pipelines by extracting meaningful features from user behavior and content data.
17 days
- Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
12 days
- Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
15 days
Advertising Recommendation Algorithm Expert
- Implement machine learning techniques such as collaborative filtering, content-based filtering, and hybrid methods to improve ad relevance and user experience.
15 days
- Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
15 days
Algorithm Engineer - Search - Recommendation A58591
- Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications in accordance with operational best practices.
4 days
Search - Recommendation Algorithm Engineer
- Global Multi-lingual & Vector Search: Optimize cross-lingual semantic retrieval, multi-lingual query processing, and unified vector embeddings for voice and text search across global markets.
20 days
Search and Recommendation Algorithm Expert
- Explore innovative methods for cutting-edge AI technologies, including information retrieval, ranking, LLM and search & recommendation related area.
24 days
- Here, you'll tackle some of the most challenging algorithmic problems in real-world global business scenarios, including multilingual understanding, cross-cultural relevance, cold-start challenges, and cross-domain understanding.
15 days
- Business Alignment: Translate business goals into algorithmic solutions that deliver measurable impact.
15 days
- Lead the development of core content recommendation modules using data-driven strategies to maximize content value and user impact.
25 days
- Cross-Domain Data Processing:
7 days
- Build industry-leading distributed storage and computing systems to support massive data and large-scale business growth.
9 days
- Enhance observability for recommendation systems in complex global environments, including multi-region, multi-data center, and multi-language scenarios; establish end-to-end tracing systems and optimize issue attribution mechanisms.
9 days
- Develop fault-tolerance mechanisms and observability tools to ensure production system stability and high availability
10 days
- Understand content security strategy and apply ML algorithms to improve content audit process;
10 days
Large Recommendation Model Algorithm Engineer- Global E-Commerce
- Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
12 days
Advertising Recommendation Algorithm Expert
- Implement machine learning techniques such as collaborative filtering, content-based filtering, and hybrid methods to improve ad relevance and user experience.
30+ days
AI Researcher (Search and Recommendation)
- Possess a Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, or equivalent research experiences.
30+ days
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
15 days
- Cross-Domain Data Processing:
15 days
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline
9 days
- Excellent programming abilities with a strong command of data structures and fundamental algorithms. For traditional coding roles, proficiency in C/C++ is required; for intelligent coding roles, proficiency in Python is required. Candidates are required to use these languages to implement complex algorithms and build iterative models. Candidates should also have a strong engineering mindset with the ability to balance performance and cost;
9 days
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
9 days
- Cross-Domain Data Processing:
9 days
- Ensure production system stability through troubleshooting, mechanism design, and tooling development.
10 days
- Cross-Domain Data Processing:
10 days
- Develop data analytics and visualization capabilities to transform raw data into meaningful insights.
10 days
- Collaborate with researchers to develop and deploy LLM training and serving solutions.
10 days