Industrial ML Engineer – Real-time Sonar & Imaging

Hegsoe; København; Presencial; DKK 700.000 - 1.000.000; Jornada completa

Descripción de la vacante

Teledyne RESON is seeking a Machine Learning Engineer to turn noisy real-time sensor data into robust ML solutions. You will join a multidisciplinary team working on target detection, sonar imaging and pattern recognition in streaming acoustic data, bridging sensors, signal processing, HPC and user-facing software.

The role involves developing ML models and the infrastructure, sharing ownership with software and embedded teams, and delivering robust, industrial-grade ML products for internal and

Formación

• Experience with general machine-learning technologies, modern modelling techniques and deep-learning frameworks – PyTorch, TensorFlow or similar.
• Understanding of software quality assurance principles and build tools, plus a successful track record in ML development.
• Ability to manage and span substantial multi-year engineering efforts while contributing as a hands-on team player.
• Strong technical communication skills and proficiency in English.

Responsabilidades

• Develop machine-learning and data-science solutions for target detection in sonar acoustic data and imaging systems.
• Identify structures and patterns in data from hydrophones.
• Develop ML models and contribute to the ML infrastructure used in the software products.
• Be an active member of a development team spanning software, mathematical modelling and dedicated embedded-processing hardware.
• Communicate concepts across the development chain, from sensor input to the final information presented to the user.
• Propose improvements to ML models and infrastructure.
• Help bring novel ML technologies into robust, industrialized products.
• Keep current with relevant technologies and tools.

Conocimientos

PyTorch

TensorFlow

Deep learning

Machine learning

English communication

Educación

MSc or PhD in engineering

Herramientas

Git

Jira

Build systems

CUDA

Descripción del empleo

Teledyne RESON is seeking a Machine Learning Engineer to turn noisy real-time sensor data into robust ML solutions. You will join a multidisciplinary team working on target detection, sonar imaging and pattern recognition in streaming acoustic data, bridging sensors, signal processing, HPC and user-facing software.

The role involves developing ML models and the infrastructure, sharing ownership with software and embedded teams, and delivering robust, industrial-grade ML products for internal and