Sr. Software Engineer II, Machine Learning

Narvar; United Kingdom; Remote; GBP 180,000 - 230,000; Full time

Job summary

A leading tech company in the UK is seeking a Senior Software Engineer II. In this role, you will design and deploy machine learning algorithms impacting millions of users. The ideal candidate has significant experience in software engineering, machine learning, and a strong grasp of data engineering principles. This position offers a competitive salary and work in a collaborative environment focused on innovation and creating quality user experiences.

Benefits

Annual bonus

Equity options

Comprehensive benefits package

Qualifications

• Experience with deep generative models or graph learning is a plus.
• Ability to write production quality code.
• Previous startup experience strongly preferred.

Responsibilities

• Design and deploy machine learning algorithms across multiple use cases.
• Work on real-world consumer data for various data science applications.
• Build frameworks, tools, and methodologies for team use.

Skills

Strong machine learning skills

Fluency in Python, PyTorch, Tensorflow, Pandas, numpy

Data Engineering skills and large data experience

10+ years of hands-on experience shipping models to production

Strong software engineering and coding skills

Strong understanding of probability & statistics

Experience with SQL and NoSQL databases

Experience working with Linux, shell scripting

Education

MS in Computer Science, Statistics, Math, or related field

Tools

Spark

Google Cloud Platform

Job description

Overview

Narvar is growing! We are hiring a Senior Software Engineer II 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.

Day-to-day

• 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

What we’re looking for

• 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

Bonus Points

• 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

Why Narvar?

We\'re on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That\'s why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you\'ve ever bought something online, there\'s a good chance you\'ve used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1300+ + other brands. With hubs in San Francisco, Atlanta, London, and Bangalore, we\'ve served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We\'re a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

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.

LI-Remote

Compensation: Narvar Pay Range $180,000 — $230,000 CAD. This range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. This position may include annual bonus, equity, and benefits.

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