Machine Learning Engineer

Number of employees

580

Stockholm/Gothenburg, United Kingdom

Posted on: 2023-10-27

Category: transportation

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Einride is an industry-disrupting freight technology company providing end-to-end solutions for electric and autonomous shipping.

By deploying technologies that are integrated using its data-driven operating system, Saga, it enables customers to decarbonize their operations by making an immediate shift towards digitalized, electric road freight.

In 2019, Einride became the world’s first company to operate an autonomous, electric freight vehicle on a public road. Its vision is to make Earth a better place through intelligent movement.

Want to be part of transforming road freight – for good? Einride is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through our offering – freight capacity as a service – we enable businesses around the world to accelerate towards their sustainability goals.

Founded in 2016, Einride became the first company in the world to deploy a cab-less autonomous electric vehicle on a public road (Sweden, 2019). In 2022, we were the first to successfully operate such a vehicle on a US public road. Today, we are a team of more than 500 people, and our award-winning technology is being deployed across 8 countries (and counting). Our clients include some of the world’s biggest shippers, including Fortune 500 companies.

We are looking for enthusiastic, humble and creative Machine Learning Engineers who are passionate about creating simple, beautiful and helpful solutions to empower the public and the transport business. As a Machine Learning Engineer at Einride, you will join one of our top talent teams where you will have the opportunity to innovate and drive change together with other ambitious, innovative and kind-hearted people who all challenge conventional thinking.

At Einride you will design, implement and optimize models for production systems, enabling safe and performant autonomous driving. There will also be exploration, prototyping and evaluating state of the art algorithms. You will be a part in developing core deep learning software for efficient training, testing and deployment pipelines and be considered one of the technical leaders in the field, mentoring and leading others to become productive and guiding technology decisions.

We recommend you submit your application as soon as possible as selection and interviews are held continuously.

At Einride, we are innovators, building solutions the world has never seen before – but urgently needs. That’s why we take action, and it’s why we are always eager to be challenged. We know that our best innovations come from having a diverse mix of people, including those of different experiences, career paths, and walks of life. By coming together and sharing our perspectives openly – by disagreeing, discussing, and committing – we deliver greater impact.

We expect you to:

  • Be strong in programming skills such as; C++, Python, or similar languages
  • Have in-depth understanding of common and recent Machine Learning and Deep Learning architecture(s)
  • Previous experience in design, training, and analyzing deep neural network for at least one of these specific areas: 2D/3D object detection, classification, semantic/instance segmentation, activity recognition, sequence learning, multi-task learning, multi-object tracking(visual/LIDAR), sensor fusion and motion prediction
  • Have experience working with LIDAR and/or camera data, large datasets, self-supervised and/or semi-supervised learning and sensor calibration
  • Knowledge within deep-learning frameworks such as PyTorch (or others)
  • Deep knowledge within linear algebra, probability and statistics theory
  • This is experience or knowledge we consider a bonus:

  • PhD in machine learning, computer vision, robotics or related field
  • Experience working on autonomous vehicles, or related fields
  • Experience using Go
  • Experience in optimization & deployment of deep learning models in real-world environments
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