Machine Learning Engineer

Tech Stack
  • Machine Learning
  • Python
  • ALS/Martrix Factorization
Company Name

Productpine

job Summary

About Productpine:

Productpine is a fast-growing Amsterdam-headquartered start-up. We envision a world in which brands thrive instead of retailers. This world is better for our precious environment, for millions of consumers that are looking to improve their lives, and for thousands of brands that are so passionate about telling the stories behind their amazing products.
To get there, we are making direct-to-consumer sales 80% cheaper for brands, so brands can increasingly sell directly to customers without middlemen. We’re doing this by building a next-generation marketplace, empowered by underlying advertising technology that allows brands to share advertising costs. We then help brands to invest the savings they attain to improve our planet.
At Productpine, consumers discover their next favorite thing. Our mission is simple: we want to enable you as a consumer to make better consumption choices for yourself and the world. We help you to discover products and brands that you will love, while making it easier for you to do good for the environment. Just so you can level-up your lifestyle and be recognized for the choices you make.
We have raised seed funding from established investors (previously invested in Pinterest, Square, Classpass, Wish, GoStudent, Shipbob), well-known entrepreneurs (HomeToGo, Afterpay, Binckbank) and senior executives (eBay) to help direct-to-consumer brands thrive and consumers improve their consumption decisions. With 90 active brands on our platform and over 600 brands in the waiting list, we are entering a period of rapid growth and are inviting you to be part of it.
Although our team is geographically distributed, our office is in the city center of Amsterdam, alongside the canals and next to lots of urban hotspots and great restaurants. It’s just a 15 min. walk from the central train station, and it is easily accessible by bike and public transport. For most of us, Productpine feels like a second home where you can just be (and develop) yourself to get the best out of yourself.

Our core values:

We’d love to get in touch with candidates that blend well in our young and tight-knit team. We expect you to be entrepreneurial by taking complete ownership over your tasks and role, while being proactive and curious. You are solution-orientated and communicate honestly, directly, and openly with others. Your resilience allows you to cope well with difficulties and changes, since you remain positive and future orientated. More importantly: you have a lot of passion about what you do, because you are optimistic and full of energy and ambition. Let’s push those boundaries together.

Job description:

We’re looking for a Machine Learning Engineer to join Productpine! As a member of the Data Engineering team, you will work in an exciting and fast-paced start-up environment together with a highly skilled team. Our team builds the recommendation engine at Productpine and strives to provide the best online shopping experience for our users.
As our new Machine Learning Engineer, you will be responsible for designing multiple context-aware recommendation systems within our e-commerce platform and on external locations outside of our e-commerce platform. You will develop a recommendation engine in Python and set-up a framework to (re)-train, predict and evaluate with live consumer data. You will get the opportunity to work with a model in production and instantly see the effect of your work.
Working closely with our Data, Software Engineering and Management team, you will rapidly turn insights and ideas into new features and improvements of the current data and recommendation framework. The work created by you and your fast-growing team will be the core driver of our business model and will have an impact on the lives of millions of consumers and thousands of brands. Exciting stuff, right?

Your profile:

You are a team player who loves learning from your talented colleagues. You can carry ideas from creation to implementation. At the end of the day, nothing makes you happier than seeing well written and high-quality code. You are a curious and fast learner that soaks up knowledge and new experiences like a sponge.

Requirements:

• You completed a relevant Bachelor or Master
• You have multiple years of experience as a Machine Learning Engineer preferably within the field of e-commerce search, recommendation, or advertising.
• You are experienced in Python and have good coding skills.
• You deploy a good data structure.
• You are fluent in English

What we love to see:

• You have experience with recommendation systems (with possible specialization in one or multiple areas: ranking, reall, user profiling or content understanding)
• You have an in-depth understanding of e-commerce, to optimize recommendation strategies like customer lifecycle analytics and cold start solutions
• You have an in-depth understanding of machine learning algorithms such as ALS /Matrix Factorization.
• Bonus: familiarity with Postgres.

What we offer:

• Full-Time job at a fast-growing company
• Feeling like you’re part of one of the largest and most important movements in the commerce space, that truly adds value to the world
• The freedom and responsibility to make a real difference
• An informal and international environment, with a bright and young team
• Remote working model but opportunity to go to the office in Amsterdam
• A competitive salary according to experience and a good benefits package
• Flexible working schedule

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CONTRACT TERMS

This is a full-time job opportunity, where you’d be working on projects lasting 12 months on average.  At the end of the period, you will be able to continue being a Pro Consultant by getting assigned to another exciting project. The continuity of your permanent employment with all social and additional benefits included is guaranteed by Motion Software.

WHY MOTION SOFTWARE?

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