Senior Computer Vision Engineer
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Join Milestone and build technology that pushes boundaries and empowers businesses worldwide.
Impact & Purpose
Impact & Purpose
Do you want to contribute to the AI computer vision of 2026 and beyond? If you envision that your next role will shape the future of visual machine learning and do it responsibly and with real-world impact… then please keep reading!
Location: Copenhagen (hybrid)
Location: Copenhagen (hybrid)
Role Summary
Role Summary
As a Senior Computer Vision Engineer in Hafnia, you will be responsible for continuing the development of our model benchmarking features. This includes your expertise in model measurements and metrics put in the light of different context and testing data, you will be critical to build the computer vision standard of tomorrow. You will become a member of our cross-functional team to drive benchmarking services, ensuring best practices and compliance with industry standards.
Senior Computer Vision Engineer
Hafnia
What you will do
What you will do
Extend and maintain an end-to-end CV platform for managing datasets, model training, benchmarking, and model inference. You will lead the Design and maintain automated benchmarking for both “classical” CV models as well as Visual Language models Build automated pipelines to manage and test models of all size, on real-world and synthetic datasets Define evaluation protocols and metrics (accuracy, latency, throughput, robustness, fairness, drift detection). Collaborate with researchers and PhD on model benchmarking Compare and benchmark Milestone models, third party models, foundation models, and custom architectures against different baselines. Contribute to build visualization that enable other computer vision engineers to monitor performances, failures, corner cases etc.
Extend and maintain an end-to-end CV platform for managing datasets, model training, benchmarking, and model inference.
You will lead the Design and maintain automated benchmarking for both “classical” CV models as well as Visual Language models
Build automated pipelines to manage and test models of all size, on real-world and synthetic datasets
Define evaluation protocols and metrics (accuracy, latency, throughput, robustness, fairness, drift detection).
Collaborate with researchers and PhD on model benchmarking
Compare and benchmark Milestone models, third party models, foundation models, and custom architectures against different baselines.
Contribute to build visualization that enable other computer vision engineers to monitor performances, failures, corner cases etc.
What you bring to the team
What you bring to the team
Ability to benchmark and profile models: throughput, latency, memory footprint, accuracy and tradeoffs. Expertise of model evaluation techniques, including error analysis, robustness testing, and dataset curation. Proficiency building automated cloud-based ML pipelines using Sagemaker Strong skills in Python and cloud friendly engineering practices (CI/CD, containers, API integrations). Proficient in MLOps principles: reproducibility, versioning, experiment tracking Familiarity with modern model architectures (Transformers, diffusion based vision models).
Ability to benchmark and profile models: throughput, latency, memory footprint, accuracy and tradeoffs.
Expertise of model evaluation techniques, including error analysis, robustness testing, and dataset curation.
Proficiency building automated cloud-based ML pipelines using Sagemaker
Strong skills in Python and cloud friendly engineering practices (CI/CD, containers, API integrations).
Proficient in MLOps principles: reproducibility, versioning, experiment tracking
Familiarity with modern model architectures (Transformers, diffusion based vision models).
How will you make a difference
How will you make a difference
Experience as a computer vision engineering developing model architecture and running training Strong Experience with computer vision deep learning frameworks (PyTorch, TensorFlow etc.) Track record in experimentation, iteration and model evaluation Proven experience to convert raw numbers into actionable insights for engineers and stakeholders Experience working in agile teams and contributing to shared engineering standards Experimentation with multi-modal models and AI workflows
Experience as a computer vision engineering developing model architecture and running training
Strong Experience with computer vision deep learning frameworks (PyTorch, TensorFlow etc.)
Track record in experimentation, iteration and model evaluation
Proven experience to convert raw numbers into actionable insights for engineers and stakeholders
Experience working in agile teams and contributing to shared engineering standards
Experimentation with multi-modal models and AI workflows
About our team
About our team
You will join about 35 fantastic colleagues in a fast-growing and international team that besides the engineering core counts profiles across go-to-market, community, product, compliance, design and strategy. We operate as an autonomous product team and share an entrepreneurial mindset and a firm belief that we can cover new grounds to the benefit of the world. We work with trust, collaboration and flexibility as our foundations.
What we offer
What we offer
Opportunities for professional growth and development. A supportive company culture and inclusive workplace environment. Daily meals, snacks, and beverages in our canteen. Office amenities such as company bikes, a gym, massages, and Friday gatherings. Monthly company events for team bonding and enjoyment.
Opportunities for professional growth and development.
A supportive company culture and inclusive workplace environment.
Daily meals, snacks, and beverages in our canteen.
Office amenities such as company bikes, a gym, massages, and Friday gatherings.
Monthly company events for team bonding and enjoyment.
Apply Now
Apply Now
We would like to receive your pictureless CV in English; a short custom summary may be integrated into your resume. If you have any questions, you are very welcome to contact Fulgencio Navarro – Senior Platform Engineering Manager – Phone: +We would like you to start as soon as possible, and we will hire on an ongoing basis as we interview candidates.
Join us in shaping the future of computer vision through engineering and innovation. Let’s build products, services and your career in a meaningful way together!
About us
About us
Hafnia is a team within Milestone, an international company with development sites in Denmark, Bulgaria, Spain and offices all over the world. We are technology driven as we are developing and maintaining one of the most advanced video management software in the world. Innovation is not only important for us. It is a part of our DNA just as responsible use of technology which we actively support. We believe in trust, mutual respect, a healthy work life balance and room for all voices to be acknowledged. As such, we expect you to engage, speak up, and make a difference for your team, our customers, and yourself. Read more at Hafnia specific information.
Impact & Purpose
Impact & Purpose
Do you want to contribute to the AI computer vision of 2026 and beyond? If you envision that your next role will shape the future of visual machine learning and do it responsibly and with real-world impact… then please keep reading!
Location: Copenhagen (hybrid)
Location: Copenhagen (hybrid)
Role Summary
Role Summary
As a Senior Computer Vision Engineer in Hafnia, you will be responsible for continuing the development of our model benchmarking features. This includes your expertise in model measurements and metrics put in the light of different context and testing data, you will be critical to build the computer vision standard of tomorrow. You will become a member of our cross-functional team to drive benchmarking services, ensuring best practices and compliance with industry standards.
Senior Computer Vision Engineer
Hafnia
What you will do
What you will do
Extend and maintain an end-to-end CV platform for managing datasets, model training, benchmarking, and model inference.
You will lead the Design and maintain automated benchmarking for both “classical” CV models as well as Visual Language models
Build automated pipelines to manage and test models of all size, on real-world and synthetic datasets
Define evaluation protocols and metrics (accuracy, latency, throughput, robustness, fairness, drift detection).
Collaborate with researchers and PhD on model benchmarking
Compare and benchmark Milestone models, third party models, foundation models, and custom architectures against different baselines.
Contribute to build visualization that enable other computer vision engineers to monitor performances, failures, corner cases etc.
What you bring to the team
What you bring to the team
Ability to benchmark and profile models: throughput, latency, memory footprint, accuracy and tradeoffs.
Expertise of model evaluation techniques, including error analysis, robustness testing, and dataset curation.
Proficiency building automated cloud-based ML pipelines using Sagemaker
Strong skills in Python and cloud friendly engineering practices (CI/CD, containers, API integrations).
Proficient in MLOps principles: reproducibility, versioning, experiment tracking
Familiarity with modern model architectures (Transformers, diffusion based vision models).
How will you make a difference
How will you make a difference
Experience as a computer vision engineering developing model architecture and running training
Strong Experience with computer vision deep learning frameworks (PyTorch, TensorFlow etc.)
Track record in experimentation, iteration and model evaluation
Proven experience to convert raw numbers into actionable insights for engineers and stakeholders
Experience working in agile teams and contributing to shared engineering standards
Experimentation with multi-modal models and AI workflows
About our team
About our team
You will join about 35 fantastic colleagues in a fast-growing and international team that besides the engineering core counts profiles across go-to-market, community, product, compliance, design and strategy. We operate as an autonomous product team and share an entrepreneurial mindset and a firm belief that we can cover new grounds to the benefit of the world. We work with trust, collaboration and flexibility as our foundations.
What we offer
What we offer
Opportunities for professional growth and development.
A supportive company culture and inclusive workplace environment.
Daily meals, snacks, and beverages in our canteen.
Office amenities such as company bikes, a gym, massages, and Friday gatherings.
Monthly company events for team bonding and enjoyment.
Apply Now
Apply Now
We would like to receive your pictureless CV in English; a short custom summary may be integrated into your resume. If you have any questions, you are very welcome to contact Fulgencio Navarro – Senior Platform Engineering Manager – Phone: +We would like you to start as soon as possible, and we will hire on an ongoing basis as we interview candidates.
Join us in shaping the future of computer vision through engineering and innovation. Let’s build products, services and your career in a meaningful way together!
About us
About us
Hafnia is a team within Milestone, an international company with development sites in Denmark, Bulgaria, Spain and offices all over the world. We are technology driven as we are developing and maintaining one of the most advanced video management software in the world. Innovation is not only important for us. It is a part of our DNA just as responsible use of technology which we actively support. We believe in trust, mutual respect, a healthy work life balance and room for all voices to be acknowledged. As such, we expect you to engage, speak up, and make a difference for your team, our customers, and yourself. Read more at Hafnia specific information.
Information og data
Denne ledige stilling har jobtypen "Softwareudvikler", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København
Jobbet er oprettet på vores service den 2.2.2026, men kan have været deaktiveret og genaktiveret igen.
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- København
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| Dato | Alle jobs som softwareudviklere |
|---|---|
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