ML Engineer

3 weeks ago


Copenhagen, Copenhagen, Denmark Apple Inc. Full time

Copenhagen, Capital Region, Denmark Software and Services

Add to Favorites ML Engineer - Creativity Apps

Description

In this machine learning engineering role, you will be responsible for evaluation, benchmarking and integration of various state of the art machine learning algorithms. You will collaborate with cross-functional teams to co-develop machine learning algorithms, drive success criteria and bring ideas to product. You should be comfortable driving projects independently and excel at delivering precise updates to cross-functional partners and stakeholders. We are seeking an engineer who can leverage their knowledge of classical computer vision and machine learning techniques to build and deploy deep learning models that help us design the next generation of productivity tools for creatives.

Minimum Qualifications
  • Strong analytical and problem solving skills.
  • Excellent written and verbal communication skills.
  • Thriving in cross-functional collaborations.
  • Demonstrated ability in developing machine learning algorithms for computer vision and image processing problems, demonstrated through either relevant industry experiences or publications in top-tier conferences (NeurIPS, CVPR, ICCV, ECCV, SIGGRAPH, etc).
  • Strong programming experience (preferably in Python / Swift / Objective-C / C++).
Preferred Qualifications
  • MS/PhD degree in CS/AI/ML/EE or equivalent experience.
  • Fundamental understanding of camera systems, sensors and computational photography.
  • Experience with bringing ML-driven algorithms from prototype to production.
  • You possess development and debugging experience on embedded mobile platforms.
  • Practical experience in developing algorithms for image or video processing.
  • Experience with Core Image or similar GPU image processing technologies.
#J-18808-Ljbffr
  • ML Engineer Trainee

    1 week ago


    Copenhagen, Copenhagen, Denmark The HubDanske Bank Full time

    At Veo, we're committed to building a diverse, inclusive, and authentic workplace. As an ML Engineer Trainee, you'll have the chance to work on developing machine learning models and improving existing ones.About the Role:You will be responsible for developing machine learning models from scratch.Improve existing models and apply them to new data.Acquire...

  • Senior ML Engineer

    3 weeks ago


    Copenhagen, Copenhagen, Denmark Schibsted Danmark Full time

    Job Description Schibsted Media is a family of well-known media brands across Norway, Sweden and Finland. Our winning ambition is to be the leading media destination in Nordics. To reach our ambition we strive to offer the best and most relevant products in the media industry, making it even more attractive for readers, listeners, viewers, and advertisers to...

  • Senior ML Engineer

    1 week ago


    Copenhagen, Copenhagen, Denmark Schibsted Danmark Full time

    Job Description Schibsted Media is a family of well-known media brands across Norway, Sweden and Finland. Our winning ambition is to be the leading media destination in Nordics. To reach our ambition we strive to offer the best and most relevant products in the media industry, making it even more attractive for readers, listeners, viewers, and advertisers...


  • Copenhagen, Copenhagen, Denmark Boyum IT Solutions Full time

    We're looking for a highly skilled Machine Learning Engineer to join our team at Boyum IT Solutions. As a key member of our engineering team, you'll be responsible for designing, developing, and deploying AI-powered solutions to drive business growth. Responsibilities: AI Model Development: Design and develop AI models using Python, PyTorch, and Hugging Face...


  • Copenhagen, Copenhagen, Denmark The HubDanske Bank Full time

    Veo's AI team is evolving, challenging, and exciting, offering a perfect environment for a student worker to develop new skills. As a junior machine learning engineer, you'll collaborate with skilled and experienced full-time ML researchers and engineers.Main Tasks:Develop machine learning models from scratch, improving existing ones and applying them to new...


  • Copenhagen, Copenhagen, Denmark XpertDirect Full time

    Job Title: Embedded Software Engineer – AI/ML at the Edge Company: Deep Tech Startup | Early-Stage | Backed by Nordic VCs If you're an embedded engineer passionate about fitting AI models into 256KB of flash, we want to talk. Our client develops edge devices that think for themselves —ultra-low-power, real-time, and smart from day one. We seek a...


  • Copenhagen, Copenhagen, Denmark Boyum IT Solutions Full time

    About Boyum IT Solutions: We're a leading provider of innovative solutions for businesses worldwide, leveraging advanced technologies like AI and machine learning to streamline processes and enhance operational efficiency. Our team is passionate about delivering cutting-edge products, and we're seeking an experienced Machine Learning Engineer to join our...


  • Copenhagen, Copenhagen, Denmark Workday Peakon Full time

    About Workday PeakonWe believe in a culture that puts our people first. This means we look after their happiness, development, and contribution. Our team is passionate about making a difference and transforming the way people work.Our Machine Learning & Data organization is bringing AI-first products to life at every step of our product offering. We're...


  • Copenhagen, Copenhagen, Denmark beBee Careers Full time

    About the RoleWe are seeking an experienced Machine Learning Engineer to optimize and scale our document processing engine, build data pipelines, and manage end-to-end ML workflows on cloud platforms.You will collaborate closely with software engineers and product managers to deliver production-ready solutions. Our CI/CD pipeline is built on Azure DevOps,...

  • Data Engineer

    3 weeks ago


    Copenhagen, Copenhagen, Denmark Refleks Full time

    ABOUT IDAECO.AI:At IDAECO.AI (Intelligent Data Ecosystems for AI), we specialize in enabling AI & ML-ready data. Our mission is to help organizations leverage their existing investments to build intelligent, scalable, and FAIR (Findable, Accessible, Interoperable, and Reusable) data frameworks.We bridge the gap between data generation and real-world...