Senior Software Engineer II, Machine Learning

Narvar

Senior Software Engineer II developing machine learning products for Narvar's platform, using consumer data for various applications. Collaborating across teams to design algorithms impacting millions globally.

Posted 4/29/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$180,000 - CA$230,000 per yearWebsite

Tech Stack

Tools & technologies

LinuxNoSQLNumpyPandasPythonPyTorchShell ScriptingSparkSQLTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Narvar Website LinkedIn All Job Openings 201 - 500 employees Founded 2012 🛍️ eCommerce ☁️ SaaS 🛒 Retail 💰 $30M Series C on 2018-08 eCommerce
SaaS
Retail Narvar is a company that specializes in creating intelligent post-purchase experiences for ecommerce businesses. Their platform provides a range of services to enhance customer engagement and retention, from setting clear delivery expectations and proactive multi-channel messaging to seamless returns and exchanges. Narvar's solutions are designed to build loyalty by personalizing the consumer journey and optimizing reverse logistics, ultimately converting and retaining customers while increasing revenue and reducing costs. The company boasts a powerful network and integrations with popular platforms like Shopify, Zendesk, and Salesforce, and supports over 2,000 retailers globally. Narvar's services cater to a variety of industries including apparel, electronics, and beauty, providing exceptional post-purchase experiences through actionable insights and data-driven interactions across their ecosystem. Senior Software Engineer II, Machine Learning 🔥 32 minutes ago 🇨🇦 Canada – Remote 💵 $180k - $230k / year ⏰ Full Time 🟠 Senior 🤖 Machine Learning Engineer Linux NoSQL Numpy Pandas Python PyTorch Shell Scripting Spark SQL Tensorflow Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
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 🎯 Requirements
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
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Hard Skills & Tools

machine learningPythonPyTorchTensorFlowPandasNumPydata engineeringSQLNoSQLprobability & statistics

Soft Skills

thought leadershipstrong visionhigh quality write-upsteam collaboration

Certifications

MS in Computer ScienceMS in StatisticsMS in MathMS in Engineering