Machine Learning Backend Engineer

Dcard 團隊照


Dcard is a leading social media platform dedicated to creating a safe and open space for sharing ideas and stories. With a thriving community of up to 20 million unique visitors per month, particularly popular among the youth in Taiwan, our mission is to unite people and make a significant impact in social media, advertising, and IP business. We are now expanding into Hong Kong, Japan, and the broader APAC market.

As a Machine Learning Backend Engineer at Dcard, you will collaborate closely with product managers and developers to build products that matter and create tools that accelerate growth. Join our team of developers to build the social network of the next generation. We code in a fresh monolithic repository and ship code every few hours, and most importantly, we're never afraid of using new and bold approaches to conquer challenges.

If you are ready to take the leap, join us in creating an experience that connects people all around the world!

Why should you join Dcard?

Dcard's products have expanded from the card-pairing feature to community, e-commerce, and other services targeting university students and young people. We are building a rapidly growing and continuously expanding organization with a growth mindset. The team focuses on long-term mission vision and strategy, working together to stay focused on goals and continuously break through barriers. We are reaching out to the world, creating more opportunities and development in different fields, and we are not satisfied with the current boundaries. We need you to provide value to our users in more aspects of life!

About the Dcard Engineering team

As a member of the Dcard Engineering Team, you will not only focus on feature development but also optimize the developer experience and architecture, and evaluate the adoption of new technologies. At Dcard, you will face many interesting challenges, working on high-traffic products, constantly adjusting and improving the existing architecture to provide smooth services to millions of users. We are -

  • Data Driven - Any analysis and decision-making within the team revolve around important metrics, and product development goals are based on OKRs to measure their value, ensuring that everyone is on the same track and moving towards the same goal. We value data-driven thinking over relying on intuition.
  • Fast-Paced - Working with a talented team, you will experience significant growth in both technical and collaborative abilities. The team operates at a fast pace, and we expect the product to move forward quickly. Consequently, we face daily challenges such as setting up an ad system to handle high traffic or ensuring real-time and fast data updates.
  • Process Optimization - The team pays great attention to the smoothness of processes and continuously thinks about how to collaborate more efficiently. We roll up our sleeves and directly change things that bother us, optimizing the development and life experiences as a whole.
  • Continuous Growth - In addition to regular study sessions, we learn about the projects undertaken by team members in different domains through Developer Sessions within the team. We also invite external members to share successful case studies or development processes from other teams.

You will be involved in the team to:

  • Collaborate with Machine Learning Engineers to deploy algorithms as user-accessible services.
  • Develop MLOps practices to enhance the development experience of machine learning algorithms.
  • Build machine learning-related ETL pipelines.
  • Collaborate with Data Engineers to develop and optimize data infrastructure.
  • Establish system monitoring mechanisms to improve service stability.



We expect an excellent Machine Learning Backend Engineering to have:

  • Proficient in Python and open to learning new languages.
  • Capable of writing highly readable, maintainable, and scalable code, as well as conducting high-quality code reviews.
  • Familiar with software project development processes.
  • Have at least one year of experience in developing distributed systems or Backend APIs.
  • Familiar with Kubernetes practices and principles.
  • Knowledgeable in system monitoring design.
  • Familiar with one or more of the following database systems: MongoDB, Elasticsearch, Redis, ClickHouse, BigQuery.
  • Possess excellent communication and collaboration skills, able to articulate ideas clearly and work smoothly with team members.



It would be even better if you have the following skills:

  • Have more than two years of experience in designing large-scale distributed systems.
  • Familiar with knowledge in one or more of the following domains: recommendation systems, advertising systems, e-commerce systems.
  • Proficient in machine learning project development processes, including data processing, model deployment workflows, and CI-related designs.
  • Familiar with one of the following distributed computing systems: Spark, Flink.
  • Proficient in building Airflow systems and ETL development.
  • Knowledgeable in Data Engineering.

Why You Should Join Dcard

  • Passionate Team: Be part of a dynamic multinational team that embraces a growth mindset and is committed to building a fast-growing organization.
  • High-Frequency Communication: Enjoy a culture of frequent collaboration and feedback, leveraging you and our platform's influence.
  • Flexible Work Environment: Benefit from flexible working hours in any role.
  • Continuous Learning: Access a wealth of resources such as books, courses, lectures, and conferences to support your professional growth.

Things to Consider

  • Only shortlisted candidates will be notified.
  • The job opening may close ahead of schedule if positions are filled.
  • Dcard reserves the right to withdraw a job offer if any false information is discovered during the application process.
  • At Dcard, we celebrate diversity and strive to provide an inclusive environment where everyone is respected. We believe that equality and diversity drive innovation and creativity. Dcard is committed to maintaining a non-discriminatory employment environment and providing equal opportunities to all candidates.





享有優於法律的年假、不扣薪病假、生日假和特殊假期(Dcard 日等),休息是為了走更長遠的路。


彈性的 Remote Work,夥伴可以自主安排工作的時間與地點,更多的彈性,創造不同的可能性!



水果日 、手搖杯日、個人按摩、各類運動課程、專屬的 Dcard Buddy Program 等,和夥伴一起享受 Dcard 生活!

我們從夥伴們的需求出發培育夥伴,提供無上限學習資源(書籍、講座、課程補助),夥伴可以直接提出需求,並在 24 小時內即可取得。

不定期和企業顧問合作、舉辦講師內訓,提供國內外 Conference 補助,如 WWDC、Google I/O ⋯,且邀請業界高手來到 Dcard 分享,不定期拜訪其他公司互相交流。我們鼓勵各部門舉辦讀書會、每月舉辦一次 Developer Session,不定期舉辦不同主題的工作坊等。