Senior Software Engineer, Narvar
Machine Learning
Post-purchase software for online retail
Open for applications
Post-purchase software for online retail
201-500 employees
Open for applications
201-500 employees
Company mission
To help retailers treat customers the way they’ve always wanted to—but didn’t know how.
Role
Who you are
- 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)
- 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, machine learning, and algorithms
- Experience with SQL and NoSQL databases
- Experience working with Linux, shell scripting
- Previous startup experience strongly preferred
Desirable
- Experience implementing applications on Google Cloud Platform
- Experience with deep generative models or graph learning 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
What the job involves
- Narvar is growing! We are hiring a Staff 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 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
Our take
The process that retailers go through to deliver products to customers is becoming increasingly complicated due to convoluted shipping networks and a global customer base. This means customer experience suffers as retailers must offer an overwhelming range of delivery options. Narvar aims to improve this situation with an integrated delivery and returns platform for retailers, providing analytics on client data to the retailer and optimises shipping channels for customers.
Narvar is a market leader in this sector, active in almost every country and territory worldwide and having made more than 2 billion shipments since its founding in 2012. Its post-purchase customer experience platform is used by over 1200 companies including household name retailers such as Sephora, GAP and Levis, among many others.
Narvar has secured many strategic partnerships such as linking up with Rise.ai, a leading gift card and store credit platform. This allows stores to simplify returns by enabling merchants to issue Rise's store credit as part of the returns process. While Narvar is currently focused on retailers providing shipping solutions for their customers, the company plans to expand to offer a B2B product in the near future.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Aug 2018
$30m
SERIES C
Jun 2016
$22m
SERIES B
Total funding: $64m
Company benefits
- Mentorship programme
- Parental leave
- Flexible time off
- Work from home opportunities
- Health insurance
Company values
- Be humble - We’re good listeners and pragmatic problem solvers. We show more than we tell. We’re humble but make no mistake: we live our purpose serving everyday needs and delivering work that has a giant impact
- Embrace ambiguity - We’re not afraid to navigate into the unknown. We thrive on learning through pure discovery. We are quick to start and quick to adapt; we get things done. We make decisions without knowing all the answers.
- Do great things together - We’re all in this together. We teach and learn from each other, we share our point of view. We take ownership and recognize successes, while building authentic camaraderie. We are citizens of the company
- Take smart leaps - We nurture a mindset of innovation. We learn from failure, and boldly move with intention. We take time to reflect on our work, to understand the big picture, and to use that understanding to guide our vision for the future.
Company HQ
Downtown, San Mateo, CA
Articles
Leadership
Amit Sharma
(CEO)Amit is a hands-on executive with expertise in multi-channel retail and supply chain operations. They have over 18 years of industry experience and their thought leadership in shipping and delivery is still reverberating through the halls of Apple and Walmar.
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