San Jose, US-United States
Posted 10 months ago
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. About The Team The Applied Machine Learning (AML) team combines system engineering and the art of machine learning to develop and run massively distributed recommendation system around the world. On the DevOps team, you’ll have the opportunity to sharpen your expertise in coding, performance analysis and large system operation, and get heavily involved in the process of hardware/capacity decision-making. DevOps ensures that the very centric machine learning services at TikTok have the highest level of availability, as well as creating highly automated systems and pipelines. Responsibilities – Build new features that touch hundreds of millions of people around the world – Solve unique, large-scale, highly complex technical problems – Build the next-generation machine learning platform to help millions of customers grow their businesses – Work with teams to deliver product features and make engineering improvements; – Build world-class web applications that combine usability, accessibility, elegance, performance, and maintainability. Qualifications – Bachelor’s degree in Computer Science or equivalent with 3+ years of relevant experience – Proven experience in analyzing and troubleshooting distributed systems. – Prior experience designing and maintaining large-scale systems. – Experience programming in at least one of the following languages: Python or C/C++ – Expertise in DevOps technologies like Ansible, Terraform, Salt, Bash Scripting, etc. – Experience in building solutions with AWS, Google, Azures, AliCloud or other cloud services. – Familiar with Unix/Linux operating systems. Preferred Qualifications – Ability to thrive in a fast-paced environment. – Strong understanding of code optimizing and routine tasks automation. – Proficiency in at least one machine learning framework: TensorFlow, PyTorch or MXNet – Solid background of algorithms and data structures. |
Job Features
| Job Category | Backend |
| Seniority | Junior / Mid IC |
| Base Salary | $137,000 - $295,000 |
| Recruiter | louis.chou@ocbridge.ai |
