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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Machine Learning Infrastructure - USDS - **Company:** Tiktok Inc. - **Location:** Seattle, WA, United States - **Salary:** $129,960.0 - $246,240.0 - **Contract:** Permanent contract - **Skills:** Amazon S3, Business Logic, Systems Engineering, Big Data, Computer Engineering, Linux, Distributed Systems, Apache Hadoop, Hadoop Distributed File System, MapReduce, Python (Programming Language), Machine Learning, Open Source Technology, Systems Development Life Cycle, Redis, Tensorflow, Mesos, Software Engineering, AI Infrastructure, Apache Yarn, Pytorch, Apache Spark, Kubernetes, Information Technology, Apache Flink, Machine Learning Operations, Celery, Software Coding, Data Pipelines, Programming Languages - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9726fe96b78c049b ## About the Role Do you have experience in Systems engineering?, Do you have a Master's degree?, Minimum Qualifications - Bachelor's/Master's degree in Computer Science, Computer Engineering, or related fields or equivalent years of experience in a software engineering role - Proficient in at least one programming language such as Go/Python in Linux environment, with excellent coding skills. - Familiar with open source distributed scheduling/orchestration/storage frameworks, such as Kubernetes (K8S), Yarn (Flink, MapReduce), Mesos, Celery, HDFS, Redis, S3, etc., with rich practical experience in machine learning system development. - Experience in developing and deploying large-scale systems. Preferred Qualifications - Experience contributing to an open sourced machine learning framework (TensorFlow/PyTorch). - Experience in big data frameworks (e.g., Spark/Hadoop/Flink), experience in resource management and task scheduling for large scale distributed systems. - Experience in using/designing open-source machine learning lifecycle management systems: TFX - Master the principle of distributed systems and participate in the design, development and maintenance of large-scale distributed systems. - Possess excellent logical analysis ability, able to perform reasonable abstraction and decomposition of business logic. - Have a strong sense of responsibility, good learning ability, communication ability and self-motivation, and be able to respond and act quickly. - Have good working document habits, and write and update work flow and technical documents in a timely manner as required. ## Description About the team The mission of our AML team is to push the next-generation AI infrastructure and recommendation platform for the ads ranking, search ranking, live & ecom ranking in our company. We also drive substantial impact on core businesses of the company. Currently, we are looking for Machine Learning Engineer - Machine Learning Infrastructure to join our team to support and advance that mission. Responsibilities: - Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models. - Responsible for improving use-ability and flexibility of the machine learning infrastructure. - Responsible for improving the workflow of model training and serving, data pipelines, storage system and resource management for multi-tenancy machine learning systems. - Responsible for designing and developing key components of ML infrastructure and mentoring interns. ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)