Machine Learning Engineer - Teledyne Marine product lines
Workplace: Danmark
Expires: September 29, 2025
Seeking a Machine Learning Engineer for Teledyne RESON Marine, a leading subsea technology company. The role involves working with sensor data, performing high-performance computations, and developing machine learning models for demanding maritime applications. Candidates should have deep ML knowledge, programming skills, and the ability to collaborate with cross-functional teams globally.
Main requirements:
- Deep experience in machine learning engineering
- Proficient in deep learning techniques and applications
- Strong programming skills in Python or equivalent
- Expertise in PyTorch architecture and components
- Understanding of software quality assurance and build tools
- Ability to manage smaller projects independently
- Strong team player and problem-solving skills
- Good communication skills for remote and customer interactions
- Proficient in English
Responsibilities:
- Own specific product domains as ML engineer
- Collaborate with software and hardware engineers throughout projects
- Develop ML models and manage ML infrastructure
- Communicate ML concepts across development teams
- Ensure ML model quality, security, and extensibility
- Evaluate and propose improvements to ML models and infrastructure
- Stay updated with latest technologies and maintain high engineering standards
Required hard skills:
- Machine learning engineering experience
- Deep learning techniques
- Python programming or equivalent
- PyTorch expertise
- Software quality assurance principles
- Build tools knowledge
Recommended hard skills:
- Experience with relevant software design
Soft skills:
- Technical mindset with attention to detail
- Problem-solving ability
- Can-do attitude
- Good communication
- Team player
- Ability to take ownership and deliver
Coding languages:
- Python
Frameworks:
- PyTorch
Operating systems:
- Windows
- Platform agnostic development
Natural languages:
- English (Proficient)
Cultural skills:
- Ability to work in a global distributed team
- Effective remote communication
- Enthusiasm for new technologies and maritime industry
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