Machine Learning Engineer
Posted 30 days ago · 0 applicants
Saving, applying or scoring takes a few seconds to set up your free account.
The role in plain words
This role involves developing next-generation machine learning models and algorithms to enhance the security and reliability of storage systems. You will participate in the entire research lifecycle, from data collection and algorithm development to simulation and product deployment. Additionally, you will collaborate with hardware, firmware, and system architects to integrate these ML algorithms into storage hardware.
- M.Sc / Ph.D in Computer Science, Electrical Engineering or a related field
- 5+ years of experience developing machine learning algorithms for production systems
- Experience developing machine learning models for time-series and tabular data
- Hands-on experience using AI tools and AI agents to support software development, research, debugging, documentation, and productivity
- Strong Python programming skills
Extracted from the job description · kept up to date automatically
Who this suits
This role suits candidates with an advanced degree (M.Sc or Ph.D) and at least 5 years of experience developing machine learning algorithms for production systems, particularly with time-series and tabular data. It is less ideal for those without strong Python and PyTorch skills or those lacking experience with AI tools for software development.
Full job description
Original listing · kept for referenceAbout the position The Samsung Advanced Flash Solution Lab (AFSL) is part of Samsung Semiconductor Memory Business, the world’s largest manufacturer of memory and storage devices for mobile phones, personal computers, servers and data centers. Our mission at AFSL is to augment Samsung’s memory and storage products with the newest innovative technologies, improving their capacity, performance and security. What will you do? Join AFSL's Machine Learning Group to develop next-generation ML models and algorithms for security and reliability in storage systems, transforming cutting-edge research into products deployed at scale. You will participate in the full research lifecycle—from problem formulation and data collection through algorithm development, simulation, proof-of-concept implementation, and product deployment. You will work closely with hardware, firmware, and system architects to co-design machine learning algorithms that are efficiently integrated into next-generation storage hardware. You will contribute to technical reports, patent submissions, and, where appropriate, research publications. Representative publications from the group are available for reference: NeurIPS2023: Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability NeurIPS2025: CLEAR: Command Level Annotated Dataset for Ransomware Detection
Requirements: • M.Sc / Ph.D in Computer Science, Electrical Engineering or a related field • 5+ years of experience developing machine learning algorithms for production systems • Experience developing machine learning models for time-series and tabular data • Hands-on experience using AI tools and AI agents to support software development, research, debugging, documentation, and productivity • Strong Python programming skills and experience with PyTorch • Strong analytical and problem-solving skills • Excellent communication skills
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- M.Sc / Ph.D in Computer Science, Electrical Engineering or a related field, 5+ years of experience developing machine learning algorithms for production systems, Experience developing machine learning models for time-series and tabular data, Hands-on experience using AI tools and AI agents to support software development, research, debugging, documentation, and productivity, Strong Python programming skills