Junior Machine Learning Engineer

  • Full-time

Job Description

 

H&M is a fashion brand that offers the latest styles and inspiration, from fashion pieces and unique designer collaborations to affordable wardrobe essentials. Our business idea is fashion & quality at the best price in a sustainable way.

Job Description

A Junior Machine Learning Engineer (MLE) works as part of a cross-functional and collaborative product team to support an existing AI/ML product. By teaming up with more experienced engineers a Junior MLE gets the opportunity to learn more and further grow their understanding in all parts of the ML development lifecycle. A Junior MLE has a solid understanding of engineering principles as well as foundational understanding of common AI/ML algorithms/paradigms combined with a keen interest in advancing their technical knowledge and skills in building AI/ML products.

Responsibilities

  • Assist in developing, testing and maintaining high-quality AI/ML solutions by picking up smaller and well-defined tickets from the backlog
  • Improve your knowledge by learning from more experienced ML Engineers
  • Participate in code reviews to improve your coding skills and learn about internal best-practices and coding standards
  • Assist in troubleshooting and resolving defects in existing AI/ML applications
  • Engage in educational opportunities to improve your knowledge in the field -read professional publications, attend relevant conferences etc.
  • Focus at setting up a learning journey to improve knowledge relevant to the role, such as programming, cloud development, MLOps etc.

Qualifications

  • Applicable working experience or Bachelor's or Master's degree in Computer Science, Machine Learning or related technical field
  • Basic understanding of software development principles, algorithms, data structures and design patterns
  • Knowledge in Python programming, and preferably also in other programming languages and paradigms such as Java, Go and SQL
  • Theoretical understanding of common AI/ML algorithms and paradigms
  • Familiarity with version control systems such as Git
  • Familiarity with cloud technologies, preferably one of the major cloud platforms

Additional Information

WHO WE ARE
H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.

We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future.

WHY YOU’LL LOVE WORKING HERE
At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe.

  • Staff discount card: Usable on all our H&M Group brands in stores and online.
  • Competitive pensions: Collective Agreement and ITP pensions competitive to the Swedish market.
  • Generous vacation: 30 days’ vacation, health care allowance, and good work-life balance.
  • Additional perks: Discounts from Benify.
  • Innovative Environment: Work with cutting-edge technology and innovative solutions. 
  • Global Impact: Be part of a team that influences users worldwide. 
  • Professional Growth: Endless opportunities to learn and develop your skills. 
  • Collaborative Culture: Join a motivated team that values collaboration and excellence.

JOIN US
Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.

Take the next step in your career together with us. The journey starts here. We are eager to meet you!

We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply

Privacy Notice