30+ days
3,600+ Gl Jobs - October 2026 - Urgent Hiring - Page 114
Showing 3,649 jobs results for
"gl"
- Educational Background & Technical Foundations Pursuing a degree in Computer Science, Data Science, Engineering, or a related field Strong fundamentals in programming (preferably Python) and SQL Basic understanding of data structures, algorithms, and software engineering principles 2. Data & AI Knowledge Familiarity with data processing concepts (ETL/ELT, data modeling, data cleaning) Exposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation) Experience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus 3. Tools & Platform Exposure Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous Familiarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks) 4. Problem-Solving & Mindset Strong analytical thinking and problem-solving skills Ability to break down complex problems into structured solutions Eagerness to learn and adapt in a fast-paced, technology-driven environment 5. Communication & Collaboration Good communication skills, with the ability to explain technical concepts clearly Team player with a proactive and ownership-driven attitude Ability to work with cross-functional teams (analytics, business stakeholders)
30+ days
Multimodal LLM Algorithm Engineer Intern (Global E-Commerce, Knowledge Graph) - 2027 Start (PhD)
- Build global product catalog and content understanding systems, modeling products, videos, images, merchants, and brands with structured and semantic representations.
26 days
- For training track, develop the Volcano Ark training platform, enabling both internal and external users to perform serverless post-training (e.g., Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL)) on the Ark platform.
26 days
Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)
- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
26 days
Software Engineering - AI Internships
- First-Principles Thinking: Sharp, logical, and deeply analytical mindsets capable of breaking down complex problems.
30+ days
- Research and implement LLM-based recommendation foundation model training and inference optimization technologies for e-commerce scenarios
30+ days
- Design, build and optimize distributed training infrastructure and low-latency online inference systems for large-scale recommendation models and Large Language Models
30+ days
- Large language Model Algorithm Development: Build domain-specific large language models (LLM/MLLM) for e-commerce, integrating domain knowledge to rapidly apply models to business scenarios.
30+ days
- Optimize recommendation model memory usage and inference latency on GPU-based heterogeneous computing systems for live scenarios
30+ days
- Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
30+ days
- Help define and continuously iterate data-quality standards, judgment rules, and acceptance criteria for foundation-model training and evaluation.
30+ days
- Participate in the R&D of TikTok Shop's Southeast Asia business, including end-to-end full-stack delivery spanning front-end pages, server-side APIs, data pipelines, and launch verification;
9 days
- Educational Background & Technical Foundations Pursuing a degree in Computer Science, Data Science, Engineering, or a related field Strong fundamentals in programming (preferably Python) and SQL Basic understanding of data structures, algorithms, and software engineering principles 2. Data & AI Knowledge Familiarity with data processing concepts (ETL/ELT, data modeling, data cleaning) Exposure to machine learning fundamentals (e.g., supervised/unsupervised learning, model evaluation) Experience with common data/ML libraries (e.g., Pandas, NumPy, scikit-learn) is a plus 3. Tools & Platform Exposure Exposure to cloud platforms (e.g., AWS, Azure, or GCP) and modern data ecosystems is advantageous Familiarity with databases (SQL/NoSQL) and data warehousing concepts (e.g., Snowflake, BigQuery, Databricks) 4. Problem-Solving & Mindset Strong analytical thinking and problem-solving skills Ability to break down complex problems into structured solutions Eagerness to learn and adapt in a fast-paced, technology-driven environment 5. Communication & Collaboration Good communication skills, with the ability to explain technical concepts clearly Team player with a proactive and ownership-driven attitude Ability to work with cross-functional teams (analytics, business stakeholders)
30+ days
GTM Investments Specialist, APJ Investments Programs, AWS
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
30+ days
27 days
30+ days
- Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.
30+ days
- Precision Subsidies & Intelligent Pricing: Model user demand elasticity across products and coupon values, combined with operations research optimization to solve for optimal budget allocation under strict constraints — maximizing GMV and conversion rate.
30+ days
Foundation Model Pre-training Scientist
- Lead Foundation Model / LLM architecture and technology roadmap
27 days
- Build and evolve the agent runtime (harness / agent loop) powering our creator / seller agents — orchestrate skills, tools, and context.
30+ days
- Translate moderation policies and business requirements into structured, machine-executable rules and
30+ days
- Design and implement unified offline and real-time data architectures for large-scale recommendation system feature storage
30+ days
- Native training and inference architecture redesign for LLMs
30+ days
Project Manager AI and Data Science
- Leading the development and implementation of innovative and strategic projects to develop highly scalable AI solutions within our global AI@BE program in alignment with business objectives and operational needs
30+ days
- Being proactive in identifying and developing new business opportunities via effective selection and categorisation of customers.
30+ days
Research Fellow - Engineer (Vision-Language Models) - WS1
- Manage the research project together with the Principal Investigator (PI) and industry partner to ensure all project deliverables are met
28 days
- Build AI-Powered Engineering Platforms: Design and develop internal developer platforms, including AI gateways, agent orchestration frameworks, retrieval systems, and reusable engineering services that enable product teams to safely and effectively leverage AI.
30+ days
Large Recommendation Model Algorithm Engineer Graduate (Global E-Commerce) - 2027 Start (PhD)
- Build and optimize cross-scenario shared Foundation Models to enable unified modeling and efficient inference.
29 days
- Engage with the business team to understand their use cases and requirements.
30+ days
Job searches related to “Gl”