ML Engineer
Hemnet 113 dagar kvar Stockholm
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Are you passionate about building Machine Learning models that scale and drive real-world impact? Join Hemnet's Data & ML Platform team and help shape the future of ML-driven solutions in Sweden's leading property marketplace!

About the role:

As an ML Engineer at Hemnet, you will be a key part of our Data & ML Platform team, working alongside skilled engineers to develop, deploy, and maintain Machine Learning models that power our products. You will play a vital role in enhancing user experiences by leveraging your expertise in ML, collaborating closely with Product Development, and ensuring high-quality, scalable ML solutions for our systems.

What you will do:
  • Collaborate with Product Development teams to deliver ML-enhanced use cases and product features.

  • Take ownership of the entire ML model lifecycle, from experimentation and training to deployment, monitoring, and re-training.

  • Design and develop ML models for large-scale, publicly available systems with high demands on performance, availability, and frequent updates.

  • Contribute to the improvement of MLOps processes and work on infrastructure that supports robust model deployment.

What you bring: Required skills:
  • Coding background with proficiency in Python.

  • Experience in developing ML models for products deployed in high traffic systems.

  • Used to working with PR-based workflows or similar, including code reviews, automated testing, and CI/CD pipelines.

  • Ability to collaborate with cross-functional teams to integrate ML features into products.

Bonus skills (meritorious):

We value experience from a Data Engineer or Data Scientist role in a mid-sized tech company. If you have experience from the property industry as well, we considerconsidere that a plus. Also, we’d be happy if you have experience with some or all of the technologies we’re using, or exploring:

  • BigQuery, GCP, and Vertex AI.

  • AWS, IaC (Terraform), and CI/CD.

  • LLMs, RAG, and vector databases.

Soft skills we value:
  • Communication: Strong verbal and written communication skills.

  • Self-sufficiency: Ability to work independently, take initiative, and manage your own work.

  • Curiosity: Eagerness to explore new technologies and propose innovative solutions.

  • Collaboration: Excellent team collaboration skills with both internal teams and external stakeholders.

  • Risk-taking: A willingness to experiment and accept occasional failure to drive innovation.

Why Hemnet?
  • Opportunity to work on cutting-edge ML models that have a direct impact on user experience

  • A collaborative and supportive team environment where innovation is encouraged

  • Flexible working conditions, with the ability to work from the office 2 days a week and remotely the rest of the time

  • Be part of a mission-driven company that’s shaping the future of property marketplaces in Sweden

Hybrid work culture

Our Stockholm office is the hub of our collaboration and culture. With 150 team members, we value in-person connections and encourage regular office attendance, but of course with some flexibility to work from home. To be part of our team, living in or near Stockholm is essential.

What we offer

At Hemnet we have a culture of sharing which includes lab weeks twice a year, regular demos, dev brekkies, and brown bags. Hemnet is a place where you can be yourself and have fun with others. We actively encourage you to explore and share your other passions – whether it's producing music, painting, or playing with clay. Enjoy 30 days of holiday, plus 4 extra leave days (“YOLO days”), paid workouts and running classes/races. We provide comprehensive benefits to ensure you feel safe and supported, including pension benefits, parental leave top-up, and health insurance. Here’s our full benefit package .

Ready to join us?

We look forward to your application! Please answer the questions below and submit your CV and we will get back to you as soon as possible. We’re reviewing applications as they come in, so don’t wait too long!Deadline: October 18th

Mer info

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