Machine Learning Engineer

Om jobbet

Leverage the power of AI to revolutionize sustainable shopping for millions of customers.

💙 Sellpy's vision is to empower everyone to live circularly. We believe that every item deserves a second life, and we see huge financial, social and environmental value in making sure this happens. Join us in building technology that drives real change.

Machine Learning at Sellpy

We look for you who want to be part of our journey to make sustainable shopping the first-hand choice by building great product recommendations, using computer vision to make the item handling process smoother and other user-friendly solutions. We want to provide the best customer experience and that's why we need you on board.

This job will suit you if you're excited to build solutions leveraging the latest machine learning models and build custom models to solve unique challenges together with a team of highly motivated engineers.

In short, you will

Build machine learning models with a major impact on our product

Simplify, maintain and improve our already existing models

Build solutions leveraging the latest machine learning development

Enjoy personal growth during our level-up days once a month

Keep up with ML development with the team on weekly deep dives

Make use of your skills in Tensorflow and Python

Requirements

B.S or M.S. degree in Computer Science or related field

Strong proficiency in Python

In-depth expertise about machine learning algorithms, deep learning and LLMs

Experience with ML frameworks such as Tensorflow or PyTorch

Experience with AWS or similar cloud service providers

Experience with relational databases and SQL

Written and spoken fluency in English

We'd be impressed if you have

Previous experience with recommender systems

Previous experience with using ML systems for item valuation

Knowledge about how to build efficient data pipelines

Experience in setting up ML systems in production

Experience working with vector databases

You get to

Be part of a tech-minded company that's driving the change towards a sustainable lifestyle. In return, you will get direction, energy, and work on meaningful challenges daily.

Benefit from hybrid work from our offices at Medborgarplatsen, Rosersberg and from home.

Work with highly skilled and motivated colleagues.

Gain new skills with unlimited access to a learning platform.

Grow professionally during monthly level-up days.

Enjoy Sellpy credits and staff discounts at Sellpy and the H&M brands (Arket, COS, Other Stories, Weekday and more).

Save up with a monthly pension plan.

Engagement in Sellpy's social traditions with game nights, interactive planning days, guest speakers and other activities.

Location

You are welcome to do all these things from our office at Medborgarplatsen in Stockholm, and from home. Ideally, we'd love to see you in the office frequently, as it helps create a positive and productive environment.

Hybrid work

We work flexibly but value being together. During your first period, you'll be on-site more often to get settled. Moving forward, we maintain a 50% office presence, with some flexibility depending on your team and tasks.

Our Interview Process 🤝

We want to get to know you, your way of thinking, and how we would work together.

Culture Interview (45 min): A video call to get to know each other. We talk about your background, your drive, and why you are interested in Sellpy.

Technical Interview (1 hour): A deep dive into your technical knowledge and how you approach problem-solving.

Case Interview (2 hours): You will receive a real-world case assignment to prepare in advance. We then invite you to our office at Medborgarplatsen where you will present your solution and we will discuss your reasoning in depth.

Founder Interview (30 min): A final chat with one of our founders to discuss the company vision and your potential journey with us.

Form of employment: Full-time

Start: As agreed upon

Öppen för alla

Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.