Machine Learning Engineer

2 weeks ago


Stockholm, Stockholm, Sweden Univrses Full time

Join us at Univrses as we pioneer the development of cutting-edge computer vision and machine learning technology for smart cities and self-driving vehicles.

We're seeking an accomplished Deep Learning Engineer to join our team in Stockholm and contribute to the development of 3DAI, a revolutionary solution that empowers businesses, municipalities, and road transport authorities to make informed decisions.

The successful candidate will be part of a collaborative team with expertise in computer vision, robotics, machine learning, physics, math, software development, and more. Together, we'll drive innovation, particularly in the fields of computer vision and deep learning.

Your role

You'll be responsible for developing and testing deep learning models for object detection, classification, and segmentation, as well as streamlining the deployment and scaling of computer vision models in production environments.

We're looking for a person who is knowledgeable in the state of the art in deep learning and has a strong interest in applying their knowledge to real-world challenges. They should also recognize the importance of data quality and automation in building robust, reliable systems and be eager to contribute to the development of user-friendly tools for these systems.

Key Responsibilities
  • Develop and test deep learning models for object detection, classification, and segmentation.
  • Streamline the deployment and scaling of computer vision models in production environments.
  • Design and implement monitoring and logging solutions to track the performance of our system on both controlled test sets and in the wild.
  • Develop learning-based methods to ease data curation and annotation through automation.
  • Collaborate with other teams to develop end-to-end KPIs for performance monitoring and troubleshooting.
  • Optimize and scale ML infrastructure to handle large volumes of image data efficiently.
Requirements
  • Minimum of a Master's degree in Computer Science, Math, Physics, Robotics, or a related field.
  • Over 5 years of proven experience in developing computer vision or deep learning technologies.
  • Proficient in programming, particularly Python, and experienced with ML frameworks (TensorFlow, PyTorch).
  • Strong theoretical foundation in deep learning and best practices.
  • Solid understanding of version control systems, especially Git.
  • Exceptional communication and collaboration skills, with the ability to thrive in a team-oriented environment.
  • Self-motivated with a keen focus on quality and scalability.
  • Motivated to see your ideas brought to life in production.
  • Flexible, eager to learn, and excited to take on diverse tech challenges.
Bonus Points
  • Knowledge of classical computer vision and projective geometry.
  • Experience with data annotation and curation tools such as Labelbox and Voxel 51.
  • Experience with AWS and Serverless frameworks, or other cloud platforms.
  • Experience with containerization and developing CI/CD pipelines.
  • Experience with Jenkins.
Perks
  • Bright and spacious facilities in the heart of Stockholm.
  • Open and friendly work environment.
  • A diverse, international, and friendly team.
  • Generous employee benefits, including:
    • Flexible work hours.
    • Wellness grant.
    • Pension plan.
    • Lunch and learns.
    • Remote work options.


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