MLOps Engineer

Job Description

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 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 our award-winning technology has been launched across 8 countries (and counting). Our clients are some of the world’s biggest shippers, including Fortune 500 companies. We are also operating Sweden’s largest truck dedicated public charging network and counting.

Your mission when joining as an MLOps Engineer at Einride will be to build and maintain the infrastructure that enables the development, deployment, and monitoring of ML/DL models for our self-driving technology.

You will:

• Implement and maintain robust CI/CD/CT pipelines for the entire ML lifecycle
• Develop and manage pipelines for processing and versioning petabytes of AV sensor data, ensuring data quality and traceability for model training and validation
• Deploy ML/DL models onto embedded, resource-constrained automotive hardware
• Build and manage scalable training and inference infrastructure on cloud platforms and on-premise clusters
• Implement solutions to track model performance, data drift, and system health both in simulation and in real-world fleet operations
• Work closely with ML researchers, robotics engineers, and software developers to understand their needs and provide the necessary tools and platforms to accelerate the ML development cycle

We expect you to have:

• 5+ years of professional experience in an MLOps, DevOps, or Software Engineering role with a focus on ML systems
• Strong programming skills in Python and proficiency with common ML frameworks (e.g., TensorFlow, PyTorch)
• Hands-on experience with MLOps tools and platforms such as Kubeflow, MLflow, or Weights & Biases
• Proven experience with containerization and orchestration technologies (Docker, Kubernetes)
• Solid experience with at least one major cloud provider
• Experience building and maintaining CI/CD pipelines using tools like Jenkins/GitLab CI/CircleCI

Nice to have:

• Experience in the autonomous driving industry
• Experience deploying models to embedded systems or edge devices (e.g., NVIDIA Jetson, DRIVE platforms)
• Knowledge of automotive software development processes and safety standards
• Experience with simulation platforms for AVs (e.g., CARLA, NVIDIA DRIVE Sim)

This is a full-time position based in Gothenburg or Stockholm. You will be part of a truly diverse, high performing team with a common passion for sustainability and making things happen in an innovative way. We recommend that you submit your application as soon as possible since selection and interviews are held continually.

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.

Please note that as part of our standard recruitment process, we conduct a background control on the final candidate for this role. This may include verification of education, employment history, any relevant professional certifications or other information that may be of our interest.