Computer Vision / Machine Learning Engineer (Entry level)

Kopernikus Automotive

Location Leipzig or Berlin - Germany
Salary up to 50k € plus benefits
Team Machine Learning Team
  • Closing: 11:59pm, 16th Mar 2021 CET

Job Description

Computer Vision / Machine Learning Junior Engineer (m/f/x)

Kopernikus is a startup working on autonomous self-driving cars to deploy solutions in constrained environments like factories, working in partnerships with leading global car manufacturers and suppliers. Our system differentiates from others thanks to our big reliance on cameras and low-budget sensors. The scale of our system has grown substantially and the ML team is in charge of dealing with all this new flow of information. We are looking for a bright junior engineer with knowledge in both computer vision and machine learning to keep improving the product.

Main task:

Your main task will be to support the ML team in the development of the product. This could take the form of running experiments, reviewing SOTA methods, collecting and labeling data, porting models, and more. You will be working with a small team in charge of developing new ideas and approaches to the current products of the company as well as maintaining current models regarding machine learning and computer vision. The objective of the team is exploring ideas regarding different fields of machine learning and computer vision, such as self-supervised learning, visual SLAM algorithms, camera calibration, federated learning, object detection, semantic segmentation, tracking etc. You have the potential to contribute significantly to new views and roads for the company and have an impact in the direction of the development of the product. 

About you and the role

As a CV/ML junior engineer, you'll be intricately involved in running experiments methodically, prepare demos, maintain the ML models through all theirs stages, collect and process data, and evaluate current and alternate models. You'll develop tools and models which will influence both our products and clients. You'll report to the Principal ML Engineer.

Here’s a taste of what you’ll do:

  • Take personal responsibility for project success

  • Adopt new tools and technologies that improve quality and efficiency

  • Collect and clean data

  • Evaluate the performance of models

  • Conduct experiments and develop machine learning models based mainly on cameras.

  • Collaborating with our integration team to understand our organisation's needs and help serving the solutions to our clients.

  • Keeping up-to-date with the latest ML/CV/Technology trends.

  • Communicating results and ideas to internal and external stakeholders.

  • In general, support the ML team in the maintenance through all of the cycles of an ML model. Including the collection of data, running experiments and evaluating results.

  • Travelling to on-site installations of our system in different cities in Germany to lead specific tasks and support the ML team.

What we are looking for: 

You'll be the right person for this job if:

  • You are passionate about computer vision *and* deep learning,

  • You are willing and excited to learn, can develop new skills and can tackle new areas and new problems,

  • You have strong Python skills,

  • You are familiar with software development and ML frameworks (Pytorch, Tensorflow, AWS, Docker, Git, Linux, etc.),

  • You like reading and discussing research papers,

  • You are an independent person comfortable working without much supervision,

  • You're passionate about solving problems, no matter if their big or small; and you have a strong mindset of getting things done,

  • You appreciate the big picture of our mission and balance that with a collaborative mindset to prioritize your work,

  • You have extra points if you are familiar with the whole stack of high-level decision making, motion planning, and low-level control,

  • It is useful if you have industrial or academic experience in automotive, robotics or gaming,

  • You are not required to know German,

What we offer:

  • Competitive compensation.

  • Variety of benefits including learning budgets for conferences and courses.

  • Opportunity to join a team working on exciting and difficult problems in hand with big car manufactures.

  • The opportunity to contribute significantly to new views and roads for the company and significantly impact in the direction of the development of the product.

  • The opportunity to join the development of the product.

More information

  • Contract length: Permanent

  • Rate: Negotiable. In the range up to 50k Eur

  • Language: English

  • Location: Leipzig, Germany (preferred) or Berlin, Germany. We are fully aware of the global situation and we take measures catered to each personal situation regarding remote work. But eventually, we will require you to relocate to Germany.

We are an equal opportunities employer

We are committed to a policy of Equal Employment Opportunity and are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.

Next steps

You can start the application process by clicking on the yellow button on the top right of this page.

You’ll first answer some quick questions about you and some technical questions that are related to the day-to-day job. If you are shortlisted, we’ll invite you to the next steps, which includes interviews with members of the team. In case you are not shortlisted, we will also let you know.

Your answers to the technical questions will go through our internal process. All answers will be anonymized, randomized and then scored by members of our team.

Expect the duration of the whole application process to be around 3-4 weeks

Removing bias from the hiring process

Applications closed Tue 16th Mar 2021

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Removing bias from the hiring process

  • Your application will be anonymously reviewed by our hiring team to ensure fairness
  • You’ll need a CV/résumé, but it’ll only be considered if you score well on the anonymous review

Applications closed Tue 16th Mar 2021