Machine Learning Specialist állás Budapest

Key responsibilities

• Develop and implement machine learning models for space-related applications, such as satellite imagery analysis, anomaly detection in spacecraft telemetry and predictive maintenance.
  
• Collaborate with engineers, mission planners and software developers to integrate AI solutions into flight (and possibly ground) systems.
  
• Analyse large-scale, complex datasets from satellite sensors and onboard instruments.
  
• Optimize algorithms for performance, reliability and deployment in resource-constrained environments (e.g., edge computing on spacecraft).
  
• Monitor developments in AI and space research to incorporate the latest findings and innovations into our work.
  
• Ensure all solutions meet the safety, reliability, and cybersecurity standards required in aerospace systems.
  

Requirements

• BSc, MSc or PhD degree in Computer Science, Aerospace Engineering, Physics, or a related technical field.
  
• Solid experience in machine learning and data analysis, with a strong grasp of both traditional and deep learning methods.
  
• Proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  
• Ability to think at system-level and work across multiple disciplines.
  
• Ability to work independently.
  
• Good problem-solving skills.
  
• Proficiency in English.
  

Considered a Plus

• Experience with any embedded RTOS or Linux.
  
• Experience in embedded SW development and C/C++ programming languages.
  
• Experience working with satellite data, sensor fusion, or remote sensing is highly desirable.
  
• Familiarity with ISO and/or ECSS standards and aerospace simulation tools (e.g., STK, ESA/NASA data formats).
  
• Programming experience in scripting and automation.
  
• Any experience in FPGA and hardware development.
  

What Remred Offers You

• Be part of the development of the first-ever Hungarian satellite platform
  
• Engage in groundbreaking projects with NASA and ESA
  
• Contribute to building the Hungarian space industry
  
• Play a significant role in the company's growth and development
  
• Enjoy a flexible work environment with the option for remote work
  
• Embrace a fun workplace with sports opportunities, board game nights and many more team events
  
• Benefit from cafeteria, premium, and referral bonuses