参加者の声（アイコンをクリックしてください）

• • 
    ＠mimomo

    Build@Mercariでは最初にトレーニングプログラムに参加できます。その後にはインターンシップの選考を受けられるチャンスがあり、学んだことを実践する場が用意されています。自分を成長させたいという気持ちの強い私にはそこが非常に魅力的でした。

    トレーニングプログラムやインターンシップでは同じ志を持つ仲間たちとの交流や、チームの方々の手厚いサポートを受けて多くの知識や経験を得ることができました。中でもメルカリのオープンな社風のおかげで、知りたいことややりたいことをなんでも共有できたことが自身の成長に繋がったなと感じています。

    Build@Mercariには様々な背景を持つ人が参加しています。昨年はオンラインでの開催だったため遠方から参加している方もたくさんいました。自身が置かれている環境にとらわれず、ぜひこの素晴らしい機会に参加してみてください！

• • 
    @Giselle

    I learned about Build@Mercari during the panel discussion at a girls-only hackathon held by my university. Later, I joined Women in Tech held by Mercari. The event was held in a casual and inclusive atmosphere which was very welcoming and comfortable. What became a major part of my motivation for applying to the Build program was a talk from a Non-CS degree engineer about how she self-taught the core CS knowledge and managed to make the career shift. As a student majoring in Environmental Science, I find it hard to find peers who share an interest in the IT industry, and sometimes I wonder if there’s a community of people who’re interested in learning about IT but without a CS background. Build@Mercari seemed to be the perfect fit. And so I applied!

    During the training, we are provided with a Udemy account where we can take any course we want for free. Office hours are held everyday from many different Mercari engineers where we can ask any questions not only about the courses, but also about career, and life in general. I took three courses in total during my training period, one on git, one on deployment of machine learning models, and another on SQL.

    Everyone during Build was highly motivated and willing to share. I remember going to the office hours of ML quite a lot, and usually I would run into the same group of trainees. Two of them became good friends with me, and we helped each trouble-shoot whenever we got stuck. We still keep in touch from time to time now!

    When I started my internship in mid-September, I remember having a bit of imposter syndrome at the beginning due to my non-CS background, but luckily I had a wonderful mentor (and team!) who’s always willing to help and allows me enough flexibility to work at my own pace. My internship task was to build an ML model that predicts customer behavior. Although I have worked on similar projects in the past, I ran into many troubles due to a large data size. The internship taught me valuable lessons about machine learning applications in industry. Aside from working on my task, there was also weeking learning & paper sharing sessions where ML engineers discuss how to apply theoretical knowledge into work. The two-month internship was indeed an invaluable learning experience!