ShopBack Logo

ShopBack

Manager, Software Engineering - Machine Learning (Shenzhen Based)

Posted 19 Days Ago
Be an Early Applicant
5 Locations
Senior level
5 Locations
Senior level
The Manager of Software Engineering - Machine Learning will lead the roadmap for enhancing products using machine learning, manage a high-performance team, and promote a data-aware culture at ShopBack.
The summary above was generated by AI

Our Journey

ShopBack started as a spark of inspiration one night in 2014 when Henry and Joel were brainstorming ideas in Henry’s car. That lightbulb moment — earning Cashback while shopping online — was just the beginning. Fueled by the countless possibilities, the team locked themselves in a hotel room for 24 hours to code the very first prototype. Their mission? To revolutionize shopping by helping advertisers market more cost-effectively, while making every purchase more rewarding for shoppers.


Today, ShopBack is the leading shopping, rewards, and payments platform in Asia-Pacific, empowering 45 million shoppers across 12 markets. With 20,000+ partners and over half a million transactions daily, we’re redefining the way the world shops. As we expand globally, we’re looking for adventurous, driven individuals to help us build The World’s Most Rewarding Way to Shop.


Note: This role is based in Shenzhen and will require the incumbent to be based onsite, 5 days a week.

Your Adventure Ahead

  • Utilize Machine Learning: Own and drive the roadmap to 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.
  • Roadmap Ownership: Drive the roadmap and execute initiatives with or without a dedicated Product Manager.
  • 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.
  • Metrics Driven: Understand critical business and product metrics, apply the right tools and technologies, and drive efforts to positively influence those metrics.
  • Promote Data Awareness: Cultivate a data-aware culture by using data to develop metrics, uncover insights, and detect patterns. Conduct both offline and online experiments, and assess their outcomes using data.
  • 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.
  • Leadership: Be both highly technical and an effective people manager.
  • Team Performance: Measure the impact of your team, set clear goals and expectations, and communicate them effectively.
  • Performance Management: Recognize individual contributions, ensure team members meet expectations, and handle performance management seriously and thoughtfully.

Essentials to Succeed

  • 5+ years of machine learning experience in the internet industry, with expertise in modeling and statistical modeling
  • 3+ years of experience managing high-performance teams.
  • Significant prior success as a machine learning engineer, solving challenging problems at scale.
  • English fluency, both in written and verbal communication, is required for effective collaboration within cross-functional and international teams.
  • Full-stack experience in data collection, aggregation, analysis, visualization, productization, and monitoring of machine learning products.
  • Experience with massive data processing platforms such as Hadoop, Spark, etc.
  • Strong skills in Python, machine learning, and deep learning libraries (Pytorch and Tensorflow)
  • An understanding of the value derived from getting results early and iterating
  • Strong desire to solve tough problems with scientific rigor at scale
  • Passion to answer Product/Engineering questions with data

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 paths and opportunities to take on greater challenges that help you realise your ambitions.

Be part of a winning team on a journey to global scale.

Competitive compensation based on your performance.

Candid, open, and collaborative culture where feedback is valued, for everyone to grow and improve every day.

Work-From-Anywhere benefit to 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!

Top Skills

Hadoop
Machine Learning
Python
PyTorch
Spark
TensorFlow

Similar Jobs

An Hour Ago
Hybrid
New York, NY, USA
187K-240K Annually
Senior level
187K-240K Annually
Senior level
Artificial Intelligence • Cloud • Software • Cybersecurity
Lead and mentor a team of engineers, drive technical direction, collaborate with cross-functional leaders, establish engineering best practices, and enhance team culture.
Top Skills: Customer-Facing Product DevelopmentLarge-Scale Distributed Systems
An Hour Ago
Hybrid
2 Locations
187K-240K Annually
Senior level
187K-240K Annually
Senior level
Artificial Intelligence • Cloud • Software • Cybersecurity
Manage a team of engineers, contribute to coding and design, and interact with stakeholders to improve productivity and code quality.
Top Skills: BazelGoJavaPythonRustTypescript
An Hour Ago
Hybrid
2 Locations
187K-240K Annually
Senior level
187K-240K Annually
Senior level
Artificial Intelligence • Cloud • Software • Cybersecurity
Lead and develop a team of software engineers in building a unified control plane for network infrastructure, ensuring high availability and scalability.
Top Skills: C++DnsGoHTTPLinuxRustTcp/IpTls

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account