Software Engineer, Machine Learning

Key Skills

Apache Hadoop, AWS, Google Cloud Platform (GCP), Linux Operating system, Machine learning techniques, NoSQL, NumPy, Optimization, Pandas, Python Programming, R Programming, Software Development, Spark Core, SQL

Job Description

Narvar is growing! We are hiring a Software Engineer to build new products and improve all aspects of the Narvar platform. Data is at the core of our competitive advantage so the work you do has a large impact across the company, our business partners, and the lives of our end users.

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 ML and Data Ops for our teams. 

Day-to-day

• Build machine learning pipelines 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

What we’re looking for

• Data science skills. Experience with machine learning or optimization modeling and know how to create visualizations in order to tell a story
• 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 (eg: Spark, Hadoop etc)
•  5+ 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, and/or machine learning, and algorithms
• Fluency in Python, R, Pandas, numpy, and machine learning packages
• Experience with SQL and NoSQL databases
• Experience working with Linux, shell scripting
• Previous startup experience strongly preferred

Bonus Points

• Experience implementing applications on Amazon AWS or Google Cloud Platform
• Experience with deep generative models a plus.
• Tag your application with your solution to an active / recently concluded Kaggle competition, to get ahead of the list :)
• Experience leading a team of data and data scientists; Strong ability to multiply the effect of the team and the team members; excellent written communication; self-starter that can balance sophistication with practicality.