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For Companies At a Glance
- Tasks: Join us to develop cutting-edge algorithms for video quality analysis using machine learning.
- Company: Amazon Prime Video is a leading streaming service available in over 200 countries.
- Benefits: Enjoy a dynamic work environment, collaboration with experts, and opportunities for skill growth.
- Why this job: Be part of a new team innovating in video technology that impacts millions of viewers worldwide.
- Qualifications: Master's degree in Machine Learning or related field; programming experience in Java, C++, or C# required.
- Other info: This is a 12-month Fixed-Term Contract position.
The predicted salary is between 36000 - 60000 £ per year.
Machine Learning Engineer, Video Quality Analysis
London, United Kingdom | Posted on 11/25/2024
We\’re thrilled to present an incredible career opportunity! We\’re recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking a Machine Learning Engineer, Video Quality Analysis.
What you’ll do:
As a key contributor, you will help develop innovative solutions by designing and implementing advanced algorithms to detect defects and evaluate overall video quality. This role involves leveraging the latest technologies, including foundational models, transformer-based architectures, masked autoencoders, image processing, image analysis, computer vision, and machine learning. A primary focus will be on optimizing these algorithms to ensure they deliver accurate, efficient, and reliable results in near real-time.
Key responsibilities:
- Develop detectors using advanced computer vision and machine learning (ML) techniques.
- Optimize solutions to ensure low latency and cost-effective operation at scale for customers.
- Apply deep knowledge of the Machine Learning lifecycle, including model training, optimization, experimentation, and maintenance.
- Leverage core SDE computer science skills combined with a strong understanding of statistics and math to analyze algorithmic performance.
Requirements
BASIC QUALIFICATIONS
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Master\’s degree in Machine Learning, Applied Mathematics, Operations Research or a related field, or equivalent work experience.
PREFERRED QUALIFICATIONS
- Bachelor\’s degree in computer science or equivalent.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience with developing and deploying Machine Learning Operations (MLOps) at scale.
- Experience with large scale foundational models and transformer-based architecture (GenAI).
Immigration support: The company provides support for your immigration process to the United Kingdom.
Competitive Salary: Enjoy a competitive salary package reflective of your skills and experience.
Global Experience: Gain international experience by working with a diverse team in a dynamic region.
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Machine Learning Engineer, Video Quality Analysis employer: Menaalliances
Contact Detail:
Menaalliances Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Video Quality Analysis
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning and computer vision, especially in the context of video quality analysis. Understanding foundational models and transformer-based architectures will give you a significant edge.
✨Tip Number 2
Engage with online communities or forums related to machine learning and video processing. Networking with professionals in these areas can provide insights into industry trends and potentially lead to referrals.
✨Tip Number 3
Consider contributing to open-source projects that focus on video quality analysis or machine learning. This not only enhances your skills but also showcases your commitment and expertise to potential employers.
✨Tip Number 4
Prepare to discuss specific projects where you've applied machine learning techniques, particularly those involving real-time data processing or defect detection. Being able to articulate your hands-on experience will set you apart during interviews.
We think you need these skills to ace Machine Learning Engineer, Video Quality Analysis
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position. Familiarize yourself with the technologies mentioned in the job description, such as deep computer vision, machine learning techniques, and programming languages like Java, C++, or C#.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize your contributions to architecture and design, as well as any experience with MLOps and large-scale foundational models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for video quality analysis and your understanding of the challenges faced in this field. Mention specific projects or experiences that demonstrate your expertise in machine learning and computer vision.
Highlight Collaborative Experience: Since the role involves collaboration with various teams, be sure to include examples of past teamwork and how you contributed to successful projects. This will show your ability to work effectively in a dynamic environment.
How to prepare for a job interview at Menaalliances
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning algorithms, particularly in the context of video quality analysis. Highlight any projects where you've implemented deep learning techniques or worked with computer vision.
✨Understand the Business Impact
Demonstrate your understanding of how your work as a Machine Learning Engineer can directly impact customer experience on Prime Video. Be ready to discuss how optimizing video quality can enhance viewer satisfaction and retention.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling complex issues related to model training, optimization, and real-time data processing.
✨Emphasize Collaboration and Communication
Since the role involves working with diverse teams across different locations, highlight your experience in collaborative projects. Share examples of how you effectively communicated technical concepts to non-technical stakeholders.
