Principal Algorithmic Systems Engineer, Account Integrity

hace 2 semanas


Madrid, Madrid, España Amazon A tiempo completo

Job Summary

As a Machine Learning Applied Scientist on the Amazon Account Integrity team, you will have the opportunity to work at the forefront of AI and machine learning, tackling challenging problems that have a direct impact on the security and trust of Amazon's customers. Our team works to ensure that customers are protected from bad actors trying to access their accounts, and we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes.



About the Role

We are looking for a skilled Machine Learning Applied Scientist to join our team and help us develop advanced algorithmic systems that integrate cutting-edge techniques like reinforcement learning (RL), large language models (LLMs), graph analytics, and machine learning to help manage the trust and safety of millions of customers every day. If you have experience programming in Java, C++, Python or related language and expertise in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, we encourage you to apply.



What You'll Do

You will analyze and model terabytes of data and create sophisticated algorithms that combine RL, LLMs, graph embeddings, and traditional machine learning methods to solve complex real-world problems. You will work closely with our team to design and implement new features and tools to enhance our risk models and mitigation strategies. In addition, you will collaborate with other teams across Amazon to leverage our expertise and resources.



What We Offer

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.



Who You Are

We are looking for a highly motivated and talented Machine Learning Applied Scientist with a strong background in machine learning, algorithms, and software development. You should have a PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience. You should have experience programming in Java, C++, Python or related language and expertise in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. You should also have excellent communication and collaboration skills and be able to work effectively in a fast-paced environment.



How to Apply

If you are interested in this position, please submit your application through the Amazon website. Please ensure that your application includes your resume, cover letter, and any other relevant materials. We look forward to hearing from you.



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