Machine Learning Engineer-Model Serving Infrastructure
Are you a passionate and experienced Machine Learning Engineer with a strong background in building and optimizing model serving infrastructure? Look no further! ByteDance is seeking a talented individual to join our team as a Machine Learning Engineer for our Model Serving Infrastructure. In this role, you will have the opportunity to work with cutting-edge technologies and be a part of a dynamic and fast-paced environment. If you have a strong understanding of machine learning principles, experience in designing and implementing scalable model serving systems, and a desire to push the boundaries of AI technology, we want to hear from you! Join us in our mission to deliver innovative and personalized experiences to millions of users worldwide.
- Design and implement scalable and efficient model serving infrastructure for our machine learning models.
- Optimize and maintain existing model serving systems to ensure high performance and reliability.
- Collaborate with cross-functional teams to understand and define requirements for model serving infrastructure.
- Develop and implement strategies for efficient deployment and monitoring of machine learning models.
- Conduct research and stay updated with the latest advancements in machine learning and model serving technologies.
- Troubleshoot and debug any issues related to model serving infrastructure.
- Continuously evaluate and improve the performance of model serving systems.
- Work closely with data scientists and engineers to integrate new machine learning models into the serving infrastructure.
- Ensure compliance with data privacy and security regulations.
- Communicate updates and progress to relevant stakeholders.
- Mentor and provide guidance to junior team members.
- Collaborate with other teams to identify and implement new features and enhancements to the model serving infrastructure.
- Proactively identify and propose solutions for potential challenges in the model serving process.
- Participate in code reviews and provide constructive feedback to improve code quality.
- Stay organized and meet project deadlines in a fast-paced environment.
Strong Understanding Of Machine Learning Algorithms And Techniques: A Machine Learning Engineer-Model Serving Infrastructure At Bytedance Should Possess A Deep Understanding Of Various Ml Algorithms And Techniques, Such As Regression, Classification, Clustering, And Deep Learning. They Should Have Experience In Applying These Techniques To Real-World Problems And Improving Model Performance.
Proficiency In Programming Languages And Frameworks: The Candidate Should Be Proficient In Programming Languages Such As Python, Java, Or C++, As Well As Popular Ml Frameworks Like Tensorflow, Pytorch, Or Scikit-Learn. They Should Also Have Experience With Distributed Computing Platforms Like Apache Spark Or Hadoop.
Experience With Model Deployment And Serving: The Role Requires Experience In Deploying Ml Models Into Production Systems And Managing The Model Serving Infrastructure. The Candidate Should Be Familiar With Tools And Technologies Used For Model Deployment, Such As Kubernetes, Docker, Or Aws Sagemaker.
Knowledge Of Scalable And Reliable Infrastructure Design: A Machine Learning Engineer-Model Serving Infrastructure Should Understand The Principles Of Scalable And Reliable Infrastructure Design. They Should Be Able To Design, Build, And Maintain Infrastructure That Can Support The Deployment And Serving Of Large-Scale Ml Models.
Strong Problem-Solving And Communication Skills: The Candidate Should Have Strong Problem-Solving Skills And The Ability To Think Critically And Creatively. They Should Also Possess Excellent Communication Skills To Collaborate With Cross-Functional Teams And Effectively Communicate Complex Technical Concepts To Non-Technical Stakeholders.
DevOps
Distributed systems
Automation
Cloud Computing
Kubernetes
Performance optimization
API development
Containerization
Monitoring
Data Pipeline
Scalability
Model Deployment
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
Interpersonal Skills
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Machine Learning Engineer-Model Serving Infrastructure in Seattle, WA, USA is between $150,000-$200,000 per year. However, salaries can vary depending on factors such as experience, education, and specific job responsibilities. Some Machine Learning Engineers in Seattle can earn even higher salaries, up to $250,000 or more. Additionally, benefits such as bonuses, stock options, and other perks may also impact a Machine Learning Engineer's total compensation package.
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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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