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Senior Machine Learning Engineer (Magnet-Griffeye) at Magnet Forensics
Magnet ForensicsGothenburg·1w ago
SeniorFull-timePythonAWSAzureMachine LearningTensorFlowPyTorchCI/CDGitAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join our team at Magnet Forensics, a global leader in digital investigative software. You will design, experiment with, and optimize ML and AI systems that power our digital forensics capabilities, helping investigators solve cases faster and with greater confidence.
Key Responsibilities
- →Design, implement, and evaluate state-of-the-art ML/AI models and systems
- →Lead experiments, define success metrics, build evaluations, and iterate to improve performance
- →Collect, build, and work with complex datasets, developing preprocessing and feature engineering techniques
- →Design and prototype agentic workflows where models reason, plan, and collaborate with other systems
- →Collaborate cross-functionally with our Brain team to ensure models are production-ready
- →Stay at the forefront of ML/AI research, assessing new techniques and translating them into practical innovations
- →Contribute to building reusable research infrastructure and tooling
- →Ensure ethical, responsible, and secure AI practices are integrated into model design
- →Mentor other engineers on ML and AI best practices
Requirements
- ✓5+ years of professional experience in machine learning or applied AI
- ✓Strong Python programming skills with experience in building scalable ML systems
- ✓Experience designing and running experiments, selecting metrics, and evaluating models
- ✓Practical experience with large language models in production or research prototypes
- ✓Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and deployment frameworks
- ✓Experience working with large, complex datasets
- ✓Ability to work cross-functionally with engineers, researchers, product managers, and designers
- ✓Strong communication skills for both technical and non-technical audiences
- ✓Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field
Benefits
- ★Generous time off policies
- ★Competitive compensation
- ★Volunteer opportunities
- ★Reward and recognition programs
- ★Employee committees & resource groups
- ★Healthcare and retirement benefits
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