Machine Learning Engineer – Perception & Autonomous Systems room Kraków

Spline; Kraków; On-site; PLN 180,000 - 280,000; Part time

Job summary

Spline is seeking a Machine Learning Engineer to develop intelligent perception and decision-making for autonomous systems. You will build ML models for computer vision, sensor data processing, motion prediction, and automated planning, with real-world validation and cross-team collaboration.

Responsibilities include training pipelines, evaluation, and improving tools and workflows across perception and prediction tasks. You will work in Kraków on a hybrid model with data-focused projects.

Qualifications

• Master’s degree in a technical field.
• Hands-on ML and CV experience with modern frameworks.
• Strong Python programming and English skills.

Responsibilities

• Develop, train, and optimize ML models for perception and prediction.
• Work on object detection, segmentation, tracking, and 3D understanding.
• Integrate data from multiple sensors and modalities.
• Support trajectory prediction and planning algorithms.
• Build data pipelines for training and evaluation.
• Analyze model accuracy, robustness, and performance on large datasets.
• Validate algorithms in real-world scenarios and collaborate with teams.
• Improve tools, models, and engineering processes.

Skills

Python

Computer Vision

Deep Learning

English Proficiency

ML Model Training

Education

MSc in Computer Science, Machine Learning, Robotics, Computer Vision, or related field

Tools

PyTorch

TensorFlow

Model Evaluation

Job description

We are looking for a Machine Learning Engineer to join a team developing intelligent perception and decision-making solutions for autonomous systems.

In this role, you will work on machine learning algorithms used in computer vision, sensor data processing, motion prediction, and automated planning. You will have the opportunity to contribute to solutions operating on complex datasets and validated in real-world scenarios.

Your responsibilities

• Develop, train, and optimize machine learning models for perception and prediction.
• Work on computer vision tasks such as object detection, segmentation, tracking, and 3D scene understanding.
• Design solutions that combine data from multiple sensors and input modalities.
• Support the development of trajectory prediction and automated planning algorithms.
• Build and maintain data processing, model training, and evaluation pipelines.
• Analyze model accuracy, robustness, and performance using large-scale datasets.
• Validate algorithms against real-world use cases and operating conditions.
• Collaborate with software, systems, and product engineering teams.
• Contribute to the continuous improvement of development tools, models, and engineering processes.

Key requirements:

• MSc in Computer Science, Machine Learning, Robotics, Computer Vision, or a related technical field.
• Hands-on experience in machine learning, deep learning, computer vision, or a similar area.
• Strong programming skills in Python.
• Practical knowledge of PyTorch or another modern machine learning framework.
• Experience in several of the following areas:
  • CNNs, Transformers, or Vision Transformers,
  • object detection, segmentation, tracking, or 3D perception,
  • temporal and sequential modelling,
  • representation learning, self-supervised learning, or multimodal learning.
• Experience working with datasets, training workflows, and model evaluation.
• Good command of English.

Nice to have

• Experience with trajectory forecasting, motion planning, or reinforcement learning.
• Knowledge of C++.
• Experience with large-scale model training, optimization, or deployment.
• Knowledge of embedded systems, edge computing, or Edge AI.
• Form of cooperation: Employment contract or B2B (your choice).
• Location: Krakow / hybrid

Tags

#MachineLearning #ComputerVision #AutonomousSystems #DeepLearning #Python