Job Description
<h3>📋 Description</h3> • Narvar is growing! We are hiring a Senior Software Engineer II to build new products and improve all aspects of the Narvar platform.
• Machine Learning Engineers at Narvar work across the stack. We are ‘full-stack’ ML Engineers. This means that we write production-level code and own machine learning operations for our teams.
• Design and deploy machine learning algorithms for use cases spanning e-commerce, consumer trends, markets, logistics, and new products.
• Work on real-world consumer data for natural language processing, image classification, time series analysis, outlier detection, user modeling, etc.
• Work with large unstructured data.
• Be at the intersection of mathematics, machine learning, business, and computer science and impact millions of users through your work.
• Multiply the effect of your data science and data team members by building frameworks, tools, and methodologies that the entire team use.
• Provide thought leadership to a team through high quality write-ups, reviews, and a strong vision grounded in practical experience and a wider industry view. <h3>🎯 Requirements</h3> • Strong machine learning skills.
• Fluency in Python, PyTorch, Tensorflow, Pandas, numpy, and machine learning packages.
• Data Engineering skills and large data experience. You should have dealt with large amounts of data (TB) in a production setting, built world class data pipelines using cutting edge tools (e.g. Spark).
• 10+ years of hands-on experience shipping models to production, working on a variety of problem spaces (eg: user modeling, spam classification, prediction, clustering etc).
• MS in Computer Science, Statistics, Math, Science (physical or social), Engineering or similar quantitative and computation field plus 5+ years of industry experience.
• Strong software engineering and coding skills with the ability to write production quality code.
• Strong understanding of probability & statistics, machine learning, and algorithms.
• Experience with SQL and NoSQL databases.
• Experience working with Linux, shell scripting.
• Previous startup experience strongly preferred. <h3>🏖️ Benefits</h3> • We are an equal-opportunity employer and value diversity at our company.
• We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.