Software Engineer - Machine Learning
Software Engineer - Machine Learning
Posted on :
22-08-2025
Employer Active
1 Vacancy
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Job Description
Our Journey
ShopBack began in 2014 as a late-night spark of inspiration between Henry and Joel not just to build a Cashback platform but to reimagine how brands and consumers connect. As former advertisers they understood the limitations of traditional marketing and saw an opportunity to deliver more value on both sides. That idea quickly turned into action with the first prototype built during a 24-hour sprint. Today ShopBack serves over 50 million users across 13 markets partners with 20000 merchants and powers over half a million transactions daily. Were building The Worlds Most Rewarding Way to Shop and looking for bold driven individuals to join us.
Your Adventure Ahead
- Utilize Machine Learning: Enhance our products and improve the shopping experience for both users and merchants. This includes leveraging machine learning in areas such as recommendations personalization risk fraud detection search and more.
- Subject Matter Expertise: Be a subject matter expert in a specific ML domain while maintaining a solid understanding of product and user challenges.
- Handle Ambiguity: Navigate and resolve ambiguous problem definitions effectively with or without dedicated Product Manager support.
- Metrics Driven: Understand critical business and product metrics apply the right tools and technologies and drive efforts to positively influence those metrics.
- Experimentation Culture: Foster a fast-paced high-iteration experimental culture to test and refine solutions quickly.
- Collaboration: Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes.
- Curious: Interest in exploring and learning the latest technologies in the industry.
Essentials to Succeed
- Significant prior success as a Machine Learning Engineer working on challenging problems at scale
- 1 -3 years of industrial ML experience with expertise in modeling and statistical modeling
- Good understanding of data collection aggregation analysis visualization productionisation and monitoring of ML products - aka MLOps
- Ability to develop ML Products with good engineering practice and mindset
- Strong desire to solve tough problems with scientific rigour at scale
- An understanding of the value derived from getting results early and iterating
- Education in a quantitative field such as Computer Science Operations Research Statistics Econometrics or Mathematics
- Strong skills in Python and machine learning and deep learning libraries (Pytorch and Tensorflow)
- Passion to answer Product/Engineering questions with data
- Demonstrated use of Generative AI tools (e.g. ChatGPT Cursor) to develop new or improve workflows enhance productivity and drive efficiency at scale.
ShopBackers DNA
Grit -We tackle all challenges head-on working together to solve problems and achieve success.
Hunger- We value hard work and having relentless drive.
Speed -We move fast and have a bias for action all to deliver maximum impact.
Impact -We focus on results always aiming for the best possible outcomes and timelines.
Growth -We embrace a growth mindset constantly striving to learn improve and excel in our roles.
Exclusively for ShopBackers
Career progression pathsand opportunities to take on greater challenges that help you realise your ambitions.
Be part of a winning teamon a journey to global scale.
Competitive compensationbased on your performance.
Candid open and collaborative culturewhere feedback is valued for everyone to grow and improve every day.
Work-From-Anywhere benefitto enable you to thrive personally and professionally.
ShopBack is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race color religion sexual orientation national origin age disability genetic information veteran status or any other protected status under applicable laws. Join our team and help us make a difference!
We are committed to protecting your data and ensuring fairness in our recruitment process. We may use automated tools including AI to help our team screen applications match candidates to roles generate interview notes and review assessments. These tools assist our recruiters and interviewers and they do not make final hiring decisions. If an assessment is part of your process we may (with your consent) capture screen activity and/or webcam images during the test to help verify test integrity. We do not use AI to infer your emotions or sensitive traits. We process personal data lawfully securely and transparently in line with applicable data-protection laws and our commitment to fair employment. You can ask questions or exercise your rights including to request human review or to challenge an outcome by contacting.
Employment Type
Full-Time
Key Skills
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