AILiveSim provides an advanced simulation platform that integrates AI, robotics, and video game technology. We're located in Helsinki and serve a variety of industries, including automotive, mining, maritime, robotics, and defense. With controlled simulations, we accelerate the development cycles and provide scalable solutions for testing, training, and validating autonomous systems and AI algorithms.

On a mission to remove the human from the training process, we're currently on the lookout for several talented and driven Machine Learning Engineers to join our Machine Learning team, that brings AI features to our product. Our team is developing tools to train AI solutions, using AI to enhance the efficiency and quality of the scenarios we create. If you're passionate about building neural networks and capable of designing your own models, strategies, and datasets, we’d love to hear from you.

Key Responsibilities:

• Build, deploy and maintain machine learning models, ensuring performance and quality outcome.

• Follow latest "State of the Art" techniques, and apply them to our current solutions.

• Design, collect, curate and maintain datasets of real or synthetic data.

• Design and implement ML training pipelines and testing suites.

• Collaborates with the product development team to bring AI features to our product.

Requirements:

• Hands-on experience with AI projects and developing AI applications, particularly Machine vision or robotics applications.

• Proficiency in Python and relevant frameworks such as PyTorch, TensorFlow, or similar.

• Ability to design, write, test, and debug code, implement software applications, document design decisions, and develop modular software components.

• Ability to work in fast iterations, with minimal documentation, solving complex problems with rapid prototyping and getting things done attitude.

• Do not reinvent the wheel, reuse and integrate solutions that are already available.

• Strong background in developing algorithms and implementing computational methods.

• Keen Interest to participate in the developing the best tool to train and test AI.

Valuable Assets:

• Experience developing or using GenAI, or Large Multimodal models.

• Good understanding of 3D math for example for sensor fusion, Slam, projections, as well as Statistical modeling.

• Professional experience with Cloud based AI, and edge AI solutions at scale.

• Strong background programming various applications with various languages, C,/C++, Python and more.

• Ability to see the big picture, and to present architecture decisions.

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.

Our ideal candidate enjoys solving complex problems with data and has a strong interest in both mathematical and behavioural challenges. If you're excited about working in a fast-paced, innovative, and collaborative environment, this could be a great fit for you.

As a close-knit team, we are dedicated to your personal growth, offering continuous learning opportunities and a supportive environment. Enjoy fun team lunches that foster collaboration, a subscription to gift cards for your personal treats, and access to our fully equipped office gym. We are a remote first company, but we also offer a hybrid working model to provide flexibility in work arrangements.