Level

Cisco

Software Machine Learning Engineer

AI in this role

pytorchtensorflow
computer-vision

Software Machine Learning Engineer

Meet the team
Cisco Norway is a global leader in developing video conferencing technology - helping millions of people connect and collaborate worldwide. At our innovation center just outside Oslo, you'll join 300+ engineers working with hardware and software - from idea to design, mechanics, audio, media processing and artificial intelligence. Our solutions are trusted by businesses, universities, governments and organizations around the world.

One of the engineering teams, the Machine Learning team, is now looking for a passionate engineer to join the team. We are responsible for developing the real-time machine learning models that run on our video devices. You will be part of the team, but also work closely with other hardware, software, and product teams to integrate ML solutions seamlessly into our product stack.

Your impact
You are a software engineer with either experience in machine learning, or a strong motivation to dive into the field. Whether you’ve already worked on ML projects or are eager to learn, you enjoy building reliable software, collaborating with others, and taking ownership of your work. You enjoy working as part of a team and contribute to our culture of learning from each other.

You will:

  • Build, optimize, and deploy end-to-end real-time ML models for computer vision on our video conferencing devices
  • Solve interesting challenges in areas like object detection, face recognition, and scene understanding
  • Take ideas from concept to production, directly improving the experience for millions of users
  • Keep growing your skills by joining courses, workshops, and conferences—both locally and around the world

Minimum Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, or a closely related technical field
  • Programming experience in C++ or Python

Preferred Qualifications

  • A problem solver with a strong eagerness to learn new skills and expand your knowledge in a constantly evolving field
  • Familiarity with ML frameworks such as TensorFlow, PyTorch, or similar
  • Experience with deploying and optimizing ML models
  • Enjoys being part of a team and working towards common objectives

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

How we score this

Software Machine Learning Engineer at Cisco scores 12 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionPyTorchTensorFlow

Questions you could be asked

  1. Walk me through a computer vision problem you solved, from raw data to a deployed model.
  2. Walk me through how you've used PyTorch in your day-to-day work.
  3. What are the limits of TensorFlow that you've run into, and how did you work around them?

Adapt your resume

  • List these exact terms on your resume: Computer Vision, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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