Machine Learning Engineer • Staff

Who you are

You have strong machine learning skills and fluency in Python, PyTorch, TensorFlow, Pandas, and NumPy — you understand the intricacies of machine learning operations and have experience working with large unstructured data. With over 10 years of experience, you have dealt with large amounts of data in a production setting and built world-class data pipelines using cutting-edge tools like Apache Spark.

You are comfortable at the intersection of mathematics, machine learning, business, and computer science — your work has a significant impact on millions of users, and you thrive on the challenge of improving data-driven products. You possess the ability to provide thought leadership to your team through high-quality write-ups, reviews, and a strong vision grounded in practical experience and a wider industry view.

What you'll do

As a Staff Software Engineer at Narvar, you will design and deploy machine learning algorithms for various use cases spanning e-commerce, consumer trends, markets, and logistics. You will work on real-world consumer data for tasks such as natural language processing, image classification, time series analysis, outlier detection, and user modeling. Your role will involve building frameworks, tools, and methodologies that multiply the effect of your data science and data team members.

You will collaborate closely with cross-functional teams to ensure that machine learning solutions are effectively integrated into the Narvar platform. Your responsibilities will include writing production-level code, owning machine learning operations, and continuously improving the performance of existing models. You will also mentor junior engineers and contribute to the overall growth of the team.

What we offer

Narvar values diversity and is committed to creating an inclusive environment for all employees. We encourage you to apply even if your experience doesn't match every requirement. Join us in making a significant impact on the lives of our end users through innovative machine learning solutions.