Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning engineering, with a strong background in building production ML systems that are robust and scalable. Your expertise in AWS technologies allows you to leverage cloud capabilities effectively, ensuring that solutions are not only innovative but also practical for real-world applications. You are comfortable bridging the gap between cutting-edge research and customer-facing products, demonstrating a keen understanding of how to transform theoretical concepts into actionable solutions.

Your experience includes working with generative AI methods, and you have a proven track record of deploying these technologies at scale. You thrive in collaborative environments, working closely with applied scientists and cross-functional engineering teams to ensure that the solutions you develop meet the highest standards of quality and performance. You are passionate about using AI to solve complex business challenges and improve customer experiences.

Desirable

Familiarity with agentic systems and a strong understanding of scalable deployment architectures will set you apart. You are always eager to learn and adapt, keeping up with the latest advancements in AI and machine learning. Your ability to communicate complex ideas clearly and effectively makes you a valuable team member, as you help guide others in the implementation of innovative solutions.

What you'll do

In this role, you will take ownership of the end-to-end deployment of generative AI and machine learning methods, ensuring that they are integrated seamlessly into business applications. You will collaborate with applied scientists to transform research code into robust, production-ready systems that can handle the demands of millions of users. Your contributions will directly impact the way businesses leverage AI to enhance their operations and customer interactions.

You will be responsible for designing and implementing scalable architectures that support the deployment of machine learning models. This includes optimizing performance, ensuring reliability, and maintaining high standards of security and compliance. You will also play a key role in mentoring junior engineers and fostering a culture of innovation within the team, encouraging experimentation and the exploration of new ideas.

Your work will involve continuous improvement of existing systems, identifying areas for optimization, and implementing best practices in machine learning engineering. You will participate in code reviews, contribute to technical documentation, and engage in knowledge-sharing sessions to elevate the team's overall capabilities.

What we offer

At Amazon, we provide a comprehensive benefits package that includes medical, dental, and vision insurance, as well as a 401(k) matching program. You will have access to flexible spending accounts and various wellness programs to support your health and well-being. We also offer generous paid time off and parental leave, ensuring that you have the time you need to recharge and spend with your family.

You will be part of a fast-moving, innovative team that values your contributions and encourages you to take initiative. Our culture is built on collaboration and continuous learning, providing you with opportunities to grow your skills and advance your career. Join us in our mission to leverage AI to create solutions that businesses love and trust.