Senior Machine Learning Engineer for Computer Vision

We are looking for a talented and experienced Machine Learning Engineer with an entrepreneurial mindset to help us bring advanced AI capabilities into our 3D vision platform. This is a key role atZivid whereyoullapply the latest research in computer vision and machine learning to enhance how our 3D cameras perceive and understand the world.

Zividsindustrial 3D sensors are the best in the business powering a wide range of robotics and automation applications.Weresmall enough to move quickly and act on newopportunities yetestablished enough to have deep insight into customer needs and the real problems worth solving. We havestrong growthand the line of sight to cut through the hype and deliver machine-learning-enabled vision and robotic manipulation solutions that matter for scaling robotics deployments.

The role

As a Machine Learning Engineer you will build solutions with next-generation deep learning for vision and robotic manipulation tasks utilizingZivid3D sensors and robotics software. You will apply your skillset in a space with complex but highly scalable and practical applications of AI supported by significant industry investments incomputearchitectures simulation and foundation models. You will be a key member of a core team of ML Engineers atZividthat owns the R&D efforts to solve vision and automation use cases with AI.

Key responsibilities

• Identifyopportunities toleveragerelevant foundation models or establish starting points for solutions from existing research

• Build and curate high-quality datasets for training and evaluation including data collection annotation and curation pipelines

• Develop andmaintaintools and technologies for building trainingoptimizing and scaling machine learning solutions

• Implement and test AI models and fine-tune models forZivids3D sensor use cases

• Productize ML solutions byidentifyinggaps and implementing best practices for ML operations

• Collaborate with cross-functional teams including internal and external researchers vision optics and software engineers

• Document and share best practices across the organization

• Stay engaged with research and communities in the field
  
  

We are looking for

• Proven experience with machine vision image processing artificial intelligence and/or robotics
• Strong understanding of deep learning architectures for vision including CNNs and transformers

• Good programming skills in Python and C withframeworks such asPyTorch

• Experience with real-time inference model optimization (e.g. ONNXTensorRT) and integrating models with robotic systems or embedded platforms

• Excellent communication skills structured and solution oriented
• A self-driven team player with a passion for technology
• . or Ph.D. in Artificial Intelligence Computer Science Robotics/Cybernetics Applied Mathematics or similar or equivalent practical experience
  
  

Bonus qualifications

• Experience with depth estimation stereo vision or monocular 3D reconstruction

• Experience deploying AI/ML models in products and experience withMLOps

• Experience with synthetic data generation and sim-to-real techniques for training vision models

• Experience with Vision-Language Models (VLMs) or Vision-Language-Action (VLA) models for robotics

• Experience with GPU programming tools such as CUDA OpenCL or Halide
  
  

We offer

• Competitive compensation package including sign-on stock options competitive pension scheme and premium health insurance

• Focus on code quality and learning: tech talks pet-project hackathons code reviews design reviews and peer programming

• A software team dedicated to quality testing clean code and a modern toolchain

• A large degree of autonomy and big opportunities for career advancement

• An open creative collaborative and innovative environment in a young company with a competent agile and international team

• Social events like climbing running cage ballandmovie nights

• An opportunity to get involved in the ongoing robotics and automation revolution

• Challenging problems responsibilities and a great deal of fun!
  
  

Practical information

Location:Nydalen Oslo Norway. On-site.

Start date: As soon as possible (upon agreement).

Application deadline: We review applications continuously but no later than September 1st.

The official language of the company is English.

If you have specific questions about the position they will be answered by Principal Engineering Manager Espen Holmbakken;

Required Experience:

Senior IC