# Machine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 Start (PhD) Source: https://realanalystjobs.com/job/machine-learning-engineer-graduate-e-commerce-recommendation-mall-2027-start-phd-0bd2a5de Machine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 Start (PhD) at TikTok, an on-site role based in Seattle, Washington, USA. First seen on RealAnalystJobs on 15 November 2026, read from TikTok's own careers page (TikTok), which RealAnalystJobs re-checks daily and removes the role when it closes. TikTok has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [TikTok](https://realanalystjobs.com/companies/tiktok) - Location: Seattle, Washington, USA - Work mode: On-site - First seen: Nov 15, 2026 - Employment type: Full time - Source: TikTok's careers page (TikTok), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. TikTok had H-1B petitions approved for 454 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/tiktok#h1b-record) ## About this role Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best shopping experience for our TikTok users. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Responsibilities: - Generative Recommendation Research: Drive the evolution of recommender systems from discriminative to generative paradigms; explore frontier directions such as generative retrieval and generative re-ranking/blending; continuously improve personalization capabilities while deeply optimizing the training and inference efficiency of generative models on GPUs. - LLM for Recommendation Research: Leverage Large Language Models (LLMs), Reinforcement Learning (RL), and related techniques to enhance the semantic understanding and reasoning capabilities of recommender systems, addressing core business challenges in e-commerce scenarios (e.g., cold start, long-tail item distribution, and user intent understanding). - Agentic Recommendation Research: Explore the construction of self-evolving agents and leverage agents to continuously optimize recommender systems; drive the evolution of recommender systems toward agentic architectures capable of keenly perceiving user context and making real-time, personalized decisions and adjustments. - Long-Term Value and User Experience Modeling: Explore replacing traditional heuristic rule-based systems with LLM and agent capabilities; build next-generation algorithms for measuring and optimizing long-term value (LTV) and user experience, enabling sustainable growth of the platform ecosystem. Qualifications Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in Computer Science, Electrical Engineering, Mathematics, Statistics or a related discipline. - Solid foundation in machine learning and deep learning, with research or project experience in at least one of the following areas: large language models, reinforcement learning, generative models, recommender systems or information retrieval. - Proficient in Python and at least one mainstream deep learning framework (e.g., PyTorch, TensorFlow, JAX). Strong problem-solving skills and passion for tackling complex, open-ended research problems. Preferred Qualifications: - Experience in recommendation systems, especially in live commerce, e-commerce, search, ads, or other large-scale consumer products. - Experience with generative recommendation, large recommendation models, retrieval and ranking systems, or related recommendation architecture upgrades. - Experience with LLMs or multimodal foundation models, including pre-training, post-training, representation learning, contrastive learning, SFT, or RL-based optimization. - Experience in cross-domain transfer learning, LTV modeling, long-term value optimization, causal inference, or debiasing. - Experience with long-sequence user behavior modeling, multi-task learning, multi-interest modeling, or large-scale distributed training and inference optimization. - Publications in top-tier conferences such as NeurIPS, ICML, ICLR, KDD, ACL, CVPR, SIGIR, or RecSys, or strong achievements in major technical competitions. - Strong curiosity about new technologies, fast learning ability, and a passion for solving challenging real-world problems. Description from TikTok's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-graduate-e-commerce-recommendation-mall-2027-start-phd-0bd2a5de) and use Apply now there to reach the employer's application. The listing is re-checked against TikTok's careers page daily and removed when it closes. ## TikTok 101 open analyst roles on Real Analyst Jobs. [More roles at TikTok](https://realanalystjobs.com/companies/tiktok) ## More like this ### Other open roles at TikTok - [Business Analyst, Business Integrity](https://realanalystjobs.com/job/business-analyst-business-integrity-tiktok-c28aba20), Singapore - [Business Analyst - Global Business Solutions - São Paulo](https://realanalystjobs.com/job/business-analyst-global-business-solutions-sao-paulo-tiktok-14e33f1e), Sao Paulo, Brazil - [Global Quality Operations AI Solutions Specialist](https://realanalystjobs.com/job/global-quality-operations-ai-solutions-specialist-tiktok-b968d27f), Singapore - [Monetization Strategy & Operations Manager - GBS](https://realanalystjobs.com/job/monetization-strategy-and-operations-manager-gbs-tiktok-d9b1af11), Buenos Aires, Argentina - [Risk Analyst](https://realanalystjobs.com/job/risk-analyst-tiktok-900d7b2d), San Jose California, USA (On-site) - [Data analyst jobs in the USA](https://realanalystjobs.com/jobs/data-analyst-jobs-in-usa) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-graduate-e-commerce-recommendation-mall-2027-start-phd-0bd2a5de) - [TikTok on Real Analyst Jobs](https://realanalystjobs.com/companies/tiktok) - [All analyst jobs](https://realanalystjobs.com/jobs)