Senior Machine Learning Product Scientist, global eCom, Bangkok

Do you want to practice an agile ML product research at its mastery? Come leap with us forward! We’ve assembled a team of 25 researchers from all around the world (and more than 250 data engineers) that crack daily some the toughest ML problems at the extreme of the scale in the e-commerce domain. We do it all: answering and routing emails automatically; driving traffic to our site using sophisticated bidding engines; personalizing every corner of the site via state of the art deep learning models; etc.

At our core we are the masters of combining science and business so this is also the signature of the ideal candidate we’re looking for:

• Understand the power of agile iterations where you only look to move a little further by combining business insights with the power of hands-on machine learning.
• Understand data, its quirks, its power, but most importantly that nothing about it can be taken for granted (so we must spend infinite amount of time getting intimate with it).
• Have an end-to-end and hands-on mindset: you start with an idea (or many of them), run a POC or build an MVP, launch an A/B test (and often a few of them), deploy the wins, setup up proper monitoring, reflect, and repeat.
• A team player, a collaborator, a colleague, an associate, a family member.

You like our vision? We’re glad you do; come join us and we’ll happily share the wealth.

Consciously, we do have a few prerequisites, which should not be viewed as hard barriers but rather as a glimpse to our preferences (but we embrace diversity):

• 2 years minimum experience in roles that utilize extensively coding, data handling, statistics, and machine learning (5 years is much preferable).
• An academic quantitative degree, preferably a PhD.
• Coding, coding, coding (did we mention coding? R, Python, C#, Java, C++, Scala, …)
• Extras: SQL, NLP, DL, TF, business acumen, blog writing, good sense of humor