ML Engineer: Perception & Autonomous Systems (Hybrid)

Spline; Kraków; Hybrid; PLN 180,000 - 240,000; Full time

Job summary

Spline is seeking a Machine Learning Engineer to join a team building perception and decision-making solutions for autonomous systems. You will work on ML algorithms used in computer vision, sensor data processing, motion prediction, and automated planning, with datasets and real-world validation.

You will collaborate with software, systems, and product teams to improve pipelines, models, and engineering processes, in a hybrid Kraków-based role with modern ML tooling.

Qualifications

• MSc in Computer Science, ML, Robotics, CV, or related field.
• Hands-on experience in machine learning, deep learning, or computer vision.
• Strong programming skills in Python.
• Practical knowledge of PyTorch or another modern ML framework.
• Experience with CNNs/Transformers or Vision Transformers; object detection, segmentation, tracking, or 3D perception.

Responsibilities

• Develop, train, and optimize ML models for perception and prediction.
• Work on computer vision tasks: object detection, segmentation, tracking, 3D scene understanding.
• Design solutions combining data from multiple sensors and input modalities.
• Support trajectory prediction and automated planning algorithms.
• Build and maintain data processing, model training, and evaluation pipelines.
• Analyze model accuracy, robustness, and performance on large-scale datasets.
• Validate algorithms in real-world use cases and operating conditions.
• Collaborate with software, systems, and product teams.
• Contribute to tool and process improvements in development workflows.

Skills

Python

PyTorch

Machine learning

Computer vision

Object detection

3D perception

Education

MSc in Computer Science / ML / Robotics / CV

Job description

Spline is seeking a Machine Learning Engineer to join a team building perception and decision-making solutions for autonomous systems. You will work on ML algorithms used in computer vision, sensor data processing, motion prediction, and automated planning, with datasets and real-world validation.

You will collaborate with software, systems, and product teams to improve pipelines, models, and engineering processes, in a hybrid Kraków-based role with modern ML tooling.