Machine Learning Engineer • Senior

Who you are

You have 5+ years of experience in machine learning engineering, with a strong foundation in both theoretical concepts and practical applications. Your expertise in distributed computing allows you to design and implement scalable systems that can handle large datasets and complex algorithms. You are proficient in Python and have experience with various machine learning frameworks, enabling you to rapidly prototype and evaluate models.

You understand the importance of collaboration in a research environment — you work closely with scientists and researchers to translate their needs into technical solutions. Your ability to communicate complex ideas clearly helps bridge the gap between engineering and research, ensuring that projects move forward efficiently.

You are committed to maintaining high standards of code quality and system reliability. You have experience in building robust evaluation frameworks that allow for reproducible research and experimentation. Your attention to detail ensures that the systems you develop are not only functional but also optimized for performance.

You thrive in an inclusive team culture and value diverse perspectives. You believe that a collaborative environment fosters innovation and creativity, and you actively contribute to team discussions and brainstorming sessions. You are open to feedback and continuously seek opportunities for personal and professional growth.

Desirable

Experience with cloud computing platforms, particularly AWS, is a plus. Familiarity with tools for data visualization and analysis will enhance your ability to communicate findings effectively. Knowledge of additional programming languages such as Java or C++ can also be beneficial in this role.

What you'll do

As a Senior Machine Learning Engineer at Amazon, you will play a pivotal role in the AgentCore team, focusing on accelerating scientific discovery through advanced engineering practices. You will design and implement scalable research infrastructure that supports rapid experimentation and evaluation of machine learning models. Your work will directly impact the efficiency and effectiveness of research initiatives within the organization.

You will collaborate with researchers to understand their requirements and translate them into technical specifications. This involves developing prototypes and conducting experiments to validate hypotheses. You will also be responsible for building and maintaining systems that ensure the reproducibility of research findings, which is critical in a scientific context.

Your role will require you to leverage distributed computing techniques to optimize the performance of machine learning algorithms. You will work with large datasets and implement solutions that can scale effectively, ensuring that the research team can conduct experiments without bottlenecks.

In addition to technical responsibilities, you will contribute to the team's culture of inclusion and collaboration. You will participate in team meetings, share your insights, and mentor junior engineers, helping them grow in their roles. Your leadership will foster a supportive environment where team members feel empowered to share ideas and take risks in their work.

What we offer

At Amazon, we prioritize work-life balance and offer a range of benefits to support our employees. You will have access to comprehensive health insurance, retirement plans, and generous paid time off. We also provide opportunities for professional development, including training programs and conferences.

Our inclusive culture is reflected in our employee-led affinity groups, which promote diversity and support for all employees. You will be part of a team that values your contributions and encourages you to bring your whole self to work. We believe that diverse teams drive better outcomes and foster innovation.

Join us at Amazon, where you will have the opportunity to work on cutting-edge machine learning projects that have a real impact on our customers and the industry. We are excited to welcome you to our team and support your journey in advancing your career in machine learning engineering.