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Machine Learning Engineer, Data Modeling

Job updated 28 days ago

Job Description helps fashion e-commerce uncover consumer's shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1.

We are seeking Machine Learning Engineers to join our data science team. The ideal person will have industry experience working on a range of classification and optimization problems, e.g. graph computation, recommendation systems, click-fraud detection, search ranking, text/sentiment classification, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive shopping data and prediction problems that exist on the web. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams.


  • Play a critical role in setting the direction and goals for the team, in terms of project impact, ML system design, and ML excellence.
  • Be a go-to person to escalate the most complex online / production performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around it.
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
  • Suggest, collect and synthesize requirements and create an effective feature roadmap, including production quality.
  • Code deliverables in tandem with the engineering team.
  • Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
  • Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate.


    • Healthcare (Medical, Dental, Vision)
    • Retirement savings or 401(K)
    • Paid time off (Annual)
    • Maternity/Paternity leave
    • Life insurance
    • Tuition reimbursement and training
    • Personal facilities (Laptop, Screen)
    • Free health screening
    • Free snacks and drinks
    • Open and creative environment
    • Irregular dinner/outing, happy hours
    • Extended annual time off
    • Paid time off to volunteer (Birthday, Menstrual, Funeral)
    • Flexible schedules and working time
    • Remote working optionally
    • Employee stock ownership plan (ESOP)


    Culture/6 Core Values:

    Grit - We thrive outside of our comfort zone, pushing ourselves to go even further. We think long-term and constantly strive to be better, even if things don’t always go as expected.

    Trust - We earn that trust by listening to each other, following through with our commitments, and keeping our words. We exercise transparency within the company, our customers, and our community.

    Humility - We learn from everyone and everywhere, and we approach each new challenge knowing that we may not have all the answers.

    Empathy - We craft our intention to keep curious about the industry, business, and practical scenarios that we purify the insights and forge the approaches.

    Candor - We are open and honest. We give each other praise and criticism because we believe each team member is as important as the other.

    Craftsmanship - We simplify, innovate, perfect, and start over until everything we touch enhances each life it touches.



    Taipei City
    (Near Nanjing Sanmin MRT Station)




    Remarks: is an Equal Employment Opportunity employer. conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or any other characteristic protected by law.


    [Minimum Qualifications]

    • Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence.
    • Proven ability to translate insights into business recommendations.
    • Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark.
    • Expert knowledge in building and training machine learning models or developing production-level Machine Learning products in Java, C++, or Python.
    • Expert with scripting languages such as Python, Perl, PHP, and/or shell scripts.
    • Experience developing and debugging in Java, C++, or similar.
    • Experience in demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.
        • Like to share, learn, and try new technology.
        • Excellent communication and collaborative skills.
        • Strong problem-solving and conceptual thinking skills.
        • Flexibility and comfort working in a dynamic, team environment with a possible remote organization with minimal documentation and process.


        [Preferred Qualifications] (Optionally; the more, the better)

        • MS degree in Computer Science or related quantitative field with experience in machine learning related work or research, or Ph.D. degree in Computer Science or related quantitative field.
        • Experience with filesystems, server architectures, and distributed systems.
            • Experience developing data products, technologies, and platforms.
            • Awards of RecSys or KDD Cup.
            • Master+ level on Kaggle.

            Interview process

            1. CV screening
            2. Culture fit interview
            3. Assignment project
            4. Professional interview
            5. Trial days
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            840,000 ~ 1,020,000 TWD / year
            Optional Remote Work
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            About us

   is a SaaS company serving the ecommerce brands since 2016.
            🏆 2019 RecSys Reward
            🏆 2020 Forbes Top 25 Machine Learning Startups

            • Our clients care deeply about their shoppers and understand the value of unique online experiences.
            • We specialize in supporting fashion ecommerce clients in the apparel, accessories, and cosmetics verticals.
            • Our Customer-Intent Web App adds value to our client’s first-party data via automated preference analysis and onsite personalized recommendations.
            • The app is powered by AI and machine learning technology developed in house by industry leading engineers and fashion savvy marketers.
            • We are a young, fun, and diversified team that believes that company growth is driven by everyone’s growth. Together, from good to great — join us today! 

   是一間多元、年輕且有遠景的軟體新創公司,於 2016 年創立便投入時尚電商領域,以美學 AI 為客戶打造一流的推薦系統,並與客戶一起成長,紮實的技術底蘊獲得海外創投青睞,正快速發展當中!
            在 我們設計與開發一流的軟體服務,運用最新的 AI 與機器學習技術,協助客戶深入了解消費者的喜好與需求,將對的商品展示給對的人,打造獨一無二的購物體驗。


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            Co-founder & CEO
            Avatar of the user.
            Co-founder & COO
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            Co-founder & CTO
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            Business Development Manager


            Mid-Senior level
            960K ~ 1.2M TWD / year

            Mid-Senior level
            840K ~ 1.2M TWD / year

            Mid-Senior level
            840K ~ 1.2M TWD / year