Backend Engineer (Model Inference), Machine Learning System - 2025 Start
At ByteDance, we are constantly pushing the boundaries of technology and innovating in the field of machine learning. As we continue to expand our team, we are looking for a talented Backend Engineer (Model Inference) to join our Machine Learning System team in 2025. If you have a passion for building robust and scalable systems that power cutting-edge machine learning applications, we want to hear from you. As a Backend Engineer, you will have the opportunity to work with world-class engineers and researchers to build the next generation of machine learning products. Join us in shaping the future of AI at ByteDance.
- Develop and maintain robust and scalable backend systems for machine learning applications.
- Collaborate with a team of engineers and researchers to design and implement innovative solutions for model inference.
- Write clean, efficient, and well-documented code that meets product requirements.
- Conduct thorough testing and debugging to ensure high-quality and reliable software.
- Stay up-to-date with the latest advancements in machine learning and technology to continuously improve and enhance our systems.
- Identify and troubleshoot any issues or bottlenecks in the model inference process.
- Work closely with cross-functional teams to understand product requirements and translate them into technical solutions.
- Participate in code reviews and provide constructive feedback to team members.
- Proactively identify areas for improvement and implement solutions to enhance system performance.
- Communicate project progress and updates to team members and stakeholders.
- Continuously evaluate and integrate new technologies and tools to improve system efficiency and productivity.
- Mentor and guide junior engineers in the team.
Strong Background In Machine Learning: A Backend Engineer (Model Inference) At Bytedance Should Have A Deep Understanding Of Machine Learning Algorithms And Techniques, Including Neural Networks, Deep Learning, And Statistical Modeling.
Proficiency In Programming Languages: The Ideal Candidate Should Possess Strong Programming Skills In Languages Such As Python, Java, And C++, As Well As Experience With Frameworks Like Tensorflow And Pytorch.
Experience With Model Inference: The Candidate Should Have Hands-On Experience With Model Inference Techniques, Such As Model Deployment And Optimization, And Should Be Able To Analyze And Troubleshoot Issues Related To Model Performance.
Knowledge Of Distributed Systems: As Bytedance Deals With Large-Scale Data, The Candidate Should Have A Good Understanding Of Distributed Systems, Including Knowledge Of Tools Like Hadoop, Spark, And Kubernetes.
Problem-Solving Skills: A Backend Engineer (Model Inference) Should Be Able To Think Critically And Troubleshoot Complex Issues Related To Machine Learning Systems. They Should Also Be Able To Design And Implement Efficient Solutions To Improve The Performance And Scalability Of The System.
Data Analysis
Database Management
Deep Learning
Cloud Computing
Algorithm design
Natural language processing
Statistical modeling
Java Programming
Python programming
Model development
Neural Networks
Distributed
Communication
Conflict Resolution
Customer Service
Leadership
Time management
Interpersonal Skills
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Backend Engineer (Model Inference), Machine Learning System - 2025 Start in Singapore is approximately $70,000 to $120,000 per year. This salary range can vary depending on factors such as the specific company, location, and level of experience. Generally, candidates with more experience and advanced skills in machine learning can command higher salaries. Additionally, as the demand for machine learning engineers continues to grow, it is expected that salaries for this role will also increase over time.
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ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures, and geographies. Dedicated to building global platforms of creation and interaction, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages. For example, TikTok, Helo, Vigo Video, Douyin, and Huoshan.
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