Machine Learning Engineer • Senior

Who you are

You are a highly experienced Staff Machine Learning Engineer with a strong background in machine learning and data science. You have a proven track record of translating complex business problems into viable technical solutions, and you excel at communicating findings to stakeholders in non-technical terms. Your expertise in software engineering principles, including design patterns, data structures, testing, security, and version control, sets you apart in your field.

With a deep understanding of machine learning algorithms and frameworks, you have successfully implemented models that drive business insights and improve user experiences. You are adept at problem-solving and thrive in collaborative environments where you can work closely with cross-functional teams to deliver impactful solutions. Your ability to mentor and guide junior engineers is a testament to your leadership skills and commitment to fostering a culture of learning.

What you'll do

In this role, you will be responsible for developing and deploying machine learning models that enhance Bazaarvoice's smart shopping experiences. You will collaborate with product managers, data scientists, and software engineers to design and implement scalable solutions that leverage user-generated content. Your work will involve conducting experiments, analyzing data, and iterating on models to ensure optimal performance and accuracy.

You will also play a key role in establishing best practices for machine learning development, including model validation, performance monitoring, and continuous improvement. By translating complex technical concepts into actionable insights, you will help stakeholders understand the value of machine learning initiatives and drive data-informed decision-making across the organization.

What we offer

Bazaarvoice offers a dynamic work environment where innovation and collaboration are at the forefront. You will have the opportunity to work with cutting-edge technologies and contribute to projects that have a meaningful impact on the shopping experience for consumers worldwide. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds in our team. Join us in closing the gap between brands and consumers through the power of machine learning.