NOMOKO

Technology, Information and Internet

Nomoko AG

11-50

Switzerland

**About us**

Our vision is to enable anyone to build spatial applications. We are building a platform enabling our clients to interact with the digital twin of the world and to build industry specific applications on top of them using this new type of digital resource.

A digital twin is comprised of an ultra realistic 3D model that is fully interactive, allowing for the integration of additional, third party information that is spatially relevant (such as weather conditions and other geospatial information). Our role is to provide the best possible digital twin of the world together with different functionalities, allowing users to build applications ranging from simulations, urban development or gaming experiences, making our platform relevant across different existing and future industries.

**About the role**

We are looking for a **Machine Learning Engineer** with practical experience in deep learning. Our new team member should have the motivation and passion for large-scale machine learning problems to participate in interdisciplinary projects for designing 2D / 3D scene understanding, localization and perception algorithms. The expected date of start would be _as early as possible._

## Tasks

- Advance the current state of our scene understanding and perception algorithms    
- Implementation of the latest deep learning concepts in industrial and research projects
- Develop solutions for real world, large scale machine learning problems. 

## Requirements

- MSc or PhD in Computer Science or related fields with a focus on Machine Learning and Computer Vision
- Working experience in 3D Computer Vision
- Good understanding and hands-on experience with the state-of-art deep learning algorithms, such as Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks   
- Strong programming skills in Python and practical experience with one of its mainstream deep learning frameworks (TensorFlow, PyTorch, Keras)    
- Excellent communication skills, oral and written in English - our working language is English.  
- Ability to design and execute on research and deployment agendas  

## Benefits

- Experience in few-shot learning and fine-grained classification
- Expertise in probabilistic modelling and sensor fusion
- Expertise in reinforcement learning
- Strong programming skills with C/C++

What we offer

Nomoko is growing fast, and we are hiring with the aim to safekeep our culture of trust, support and our spirit of collaboration. Since day one, we realized that to build a company that lasts, the focus has to be on building a team with an extraordinary variety of expertise but more importantly, personality and drive.

We are a team of innovators, pragmatics, dreamers and caring people, because we believe that our differences make us stronger, so we celebrate them! We are constantly looking for inspired souls to join us on our journey, so don’t be shy, get in touch!

We offer a flexible working schedule - we care about what our employees achieve and we trust their competency and commitment to get work done instead of imposing rigid rules around working hours.

We work hard to offer a safe, inclusive working environment, where our employees are encouraged to be themselves, while treating co-workers with respect and kindness, so that we can all grow and achieve Nomoko’s ambitious goals.

Nomoko is an equal opportunity employer, diversity is one of our core values and we try our best to live by it and celebrate our differences. We accept and evaluate applications based on merit and business needs, and regardless of race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status (including pregnancy), or any other status protected by the laws or regulations in Switzerland, the EU or any future operation locations.

If you are interested, please submit your application including a **cover letter** and a **link to git repository.**

We are looking forward to hearing from you!

Employee

About us
Our vision is to enable anyone to build spatial applications. We are building a platform enabling our clients to interact with the digital twin of the world and to build industry specific applications on top of them using this new type of digital resource.
A digital twin is comprised of an ultra realistic 3D model that is fully interactive, allowing for the integration of additional, third party information that is spatially relevant (such as weather conditions and other geospatial information). Our role is to provide the best possible digital twin of the world together with different functionalities, allowing users to build applications ranging from simulations, urban development or gaming experiences, making our platform relevant across different existing and future industries.
About the role
We are looking for a Machine Learning Engineer with practical experience in deep learning. Our new team member should have the motivation and passion for large-scale machine learning problems to participate in interdisciplinary projects for designing 2D / 3D scene understanding, localization and perception algorithms. The expected date of start would be as early as possible.
<h2 id="tasks">Tasks</h2>
<ul>
<li>Advance the current state of our scene understanding and perception algorithms </li>
<li>Implementation of the latest deep learning concepts in industrial and research projects</li>
<li>Develop solutions for real world, large scale machine learning problems.</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>MSc or PhD in Computer Science or related fields with a focus on Machine Learning and Computer Vision</li>
<li>Working experience in 3D Computer Vision</li>
<li>Good understanding and hands-on experience with the state-of-art deep learning algorithms, such as Convolutional Neural Networks, Recurrent Neural Networks, Generative Adversarial Networks </li>
<li>Strong programming skills in Python and practical experience with one of its mainstream deep learning frameworks (TensorFlow, PyTorch, Keras) </li>
<li>Excellent communication skills, oral and written in English - our working language is English. </li>
<li>Ability to design and execute on research and deployment agendas</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Experience in few-shot learning and fine-grained classification</li>
<li>Expertise in probabilistic modelling and sensor fusion</li>
<li>Expertise in reinforcement learning</li>
<li>Strong programming skills with C/C++</li>
</ul>
What we offer
Nomoko is growing fast, and we are hiring with the aim to safekeep our culture of trust, support and our spirit of collaboration. Since day one, we realized that to build a company that lasts, the focus has to be on building a team with an extraordinary variety of expertise but more importantly, personality and drive.
We are a team of innovators, pragmatics, dreamers and caring people, because we believe that our differences make us stronger, so we celebrate them! We are constantly looking for inspired souls to join us on our journey, so don’t be shy, get in touch!
We offer a flexible working schedule - we care about what our employees achieve and we trust their competency and commitment to get work done instead of imposing rigid rules around working hours.
We work hard to offer a safe, inclusive working environment, where our employees are encouraged to be themselves, while treating co-workers with respect and kindness, so that we can all grow and achieve Nomoko’s ambitious goals.
Nomoko is an equal opportunity employer, diversity is one of our core values and we try our best to live by it and celebrate our differences. We accept and evaluate applications based on merit and business needs, and regardless of race, color, religion or belief, national, social or ethnic origin, sex, age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status (including pregnancy), or any other status protected by the laws or regulations in Switzerland, the EU or any future operation locations.
If you are interested, please submit your application including a cover letter and a link to git repository.
We are looking forward to hearing from you!

Machine Learning Engineer

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