- Currently pursuing an Undergraduate/Master in computer science, artificial intelligence, data science or related discipline.
25 days
1,000+ Machine Learning Engineer Jobs - November 2026 - High Salaries - Page 8
Showing 1,052 jobs results for
"machine learning engineer"
- Work in a cross-functional team setting to mitigate business risks.
25 days
- Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies — including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents — to directly address user conversion and repeat purchase behavior.
25 days
- Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the TikTok e-commerce community.
24 days
- Work in a cross-functional team setting to mitigate business risks.
26 days
- Design and build supporting/debugging tools as needed.
26 days
- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
22 days
- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
25 days
Machine Learning Engineer Graduate (TikTok Shop Global E-Commerce, Risk Control) - 2026 Start (PhD)
- Develop machine learning solutions for identifying and preventing various fraudulent activities.
25 days
Lead Machine Learning Engineer
- You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects
30+ days
- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
24 days
- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
26 days
- Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
26 days
- Work with Data Scientists to ensure feature consistency between offline model development and online production environments.
30+ days
- Develop incident handling, recovery, and escalation procedures for ML-related issues.
30+ days
- Own delivery end to end in fast, agile iterations, from turning an ambiguous problem into a clear plan, through design and development, to successful deployment and operation of features, data, and models in production.
19 days
- Own delivery end to end in fast, agile iterations, from turning an ambiguous problem into a clear plan, through design and development, to successful deployment and operation of features, data, and models in production.
19 days
- Vertical Search Team: Build a full-stack search engine serving billions of global users, covering vertical scenarios such as photo-text search, user search, live search and music search. The scope also encompasses AI-powered search for standalone apps including Drama and Lemon8. We leverage LLM, NLP, and multimodal understanding technologies to iteratively enhance search quality and system performance.
30+ days
- Vertical Search Team: Build a full-stack search engine serving billions of global users, covering vertical scenarios such as photo-text search, user search, live search and music search. The scope also encompasses AI-powered search for standalone apps including Drama and Lemon8. We leverage LLM, NLP, and multimodal understanding technologies to iteratively enhance search quality and system performance.
30+ days
- Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
30+ days
- Work with cross-functional teams to protect TikTok globally.
30+ days
- Understand content security strategy and apply ML algorithms to improve content audit process;
30+ days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
30+ days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
30+ days
- Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
30+ days
- Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
30+ days
- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.
30+ days
- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.
30+ days
- Develop scalable systems for real-time or offline learning and inference on large-scale structured and unstructured data.
30+ days
- Design and build supporting/debugging tools as needed.
30+ days