Amazon
Machine Learning Engineer II, Intelligent Talent Acquisition - Lead Generation & Detection Services
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise. Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.
We're seeking an exceptional Software Development Engineer to join our Lead Generation and Detection Services (LEGENDS) organization, where we're transforming the future of recruiting through innovative technology solutions. This role offers the exciting opportunity to work with a team driving the evolution of our existing services and pioneering new AI/ML-powered recruiting products. The team focuses on foundational data about the job ecosystem within Amazon. We own a knowledge-graph of key attributes used to power ML systems across the organization. You will have the opportunity to work on systems that scale across the entire recruiting experience and work closely with scientists to deliver world-class ML solutions.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Job Responsibilities
We are looking for a software engineer who has strong technical abilities, a focus on the customer experience, great teamwork and communication skills, and a motivation to achieve results. You will work alongside applied and research scientists solving complex machine learning problems. Familiarity with Machine Learning lifecycle management, such as model training, validation, debugging tools, and analysis techniques would be ideal.
A Day in the Life
Your daily activities will range from writing code, reviewing requirements with the product team, or reviewing your peer's code. You'll work closely with product, scientists, and engineers assigned to a shared project focused on delivering value to our customers.
About the Team
The Lead Generation & Detection Services (LEGENDS) organization is a specialized organization focused on developing AI-driven solutions to enable fair and efficient talent acquisition processes across Amazon.
Our team focuses on building systems for engineering and science foundational systems used across the recruiting process. Our work encompasses capabilities across the entire talent acquisition lifecycle, including role creation, recruitment strategy, sourcing, candidate evaluation, and talent deployment. The focus is on utilizing state-of-the-art solutions using Deep Learning, Generative AI, and Large Language Models (LLMs) for recruitment at scale that can support immediate hiring needs as well as longer-term workforce planning for corporate roles.
Basic Qualifications
- Experience (non-internship) in professional software development
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Qualifications
- Bachelor's degree in computer science or equivalent
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit how we hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills