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Machine Learning Engineer Intern

4 months ago


United Kingdom Amazon Full time

Job ID: 2574918 | Amazon UK Services Ltd. - We are seeking a strong data science leader for our Workforce Staffing organization.
Workforce Intelligence (WFI), a subsidiary of Workforce Staffing (WFS), is responsible for driving decisions that help Workforce Staffing deliver the scale and precision it needs while minimizing the cost of hiring. WFI manages data acquisition, engineering, research, science and products that help WFS make the best decisions. Hiring over 1 million associates around the world presents the largest staffing challenge in a private company environment. As a Machine Learning Engineer, you will work closely with science teams to bring research to production. It will be your job to implement novel ML systems, product integrations, and performance optimizations. You will guide the direction of a MLOPS automation framework via collaboration with the engineering and research communities.
You will collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems and you will provide support for business continuity on a rotating on call.
Almost everyday offers new challenges and opportunities for growth. Where one day will offer implementation of Self-Service MLOps tooling, the next day may be focused on our operational excellence in maintaining our code base. Later in the week, you may sort technical challenges with our partners to help them enrich their products with our models. We work back to back to address the technical challenges of automation across a variety of products, software, and systems. Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each other's skills. Together, we are a powerful team of global specialists bringing the potential of practical ML and AI to the max with impact on over a million of candidates applying for a Job in Amazon.
3+ years of non-internship professional software development experience
- 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent
2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval and statistics.
Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.
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