Software Machine Learning Engineer

554 Cisco Systems Norway AS; Bærum; On-site; NOK 900,000 - 1,300,000; Full time

Job summary

Cisco Systems Norway AS, located near Oslo, is a hub of 300+ engineers working on hardware and software including AI-driven video conferencing solutions. Our Machine Learning team develops real-time models that run on our devices, collaborating with hardware, software, and product teams to integrate ML into the product stack.

You will contribute to end-to-end ML model development, from concept to production, tackling challenges in object detection, face recognition, and scene understanding,

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.

Responsibilities

• Build, optimize, and deploy end-to-end real-time ML models for computer vision on video devices.
• Solve challenges in object detection, face recognition, and scene understanding.
• Take ideas from concept to production, improving user experience for millions of users.
• Grow skills by joining courses, workshops, and conferences—locally and globally.

Skills

C++

Python

ML frameworks

Education

Bachelor's or Master's in CS/EE/ML/AI

Job description

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

• 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. Cisconians power the future. We make impact as a team, innovating fast and fearlessly to create meaningful solutions on a large scale. The depth and breadth of our technology doesn't just benefit our customers – it also means limitless opportunities for us to experiment and learn. We understand the power each of our unique backgrounds bring when we work together. Because of that, we have a global network of thinkers, doers, experts, and curious creators who help one another do their life's best work.