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Machine Learning Engineer - 3/4 Month Contract

Samsung Electronics Co., Ltd.

Staines-upon-Thames

Hybrid

GBP 125,000 - 150,000

Part time

12 days ago

Job summary

A leading electronics company is looking for a Machine Learning Engineer to join their AI Research Team. This position involves conducting innovative AI research and developing solutions for complex challenges. The candidate should have a strong background in machine learning and programming, preferably with a PhD in a relevant field. The role operates under a hybrid working model based in Staines-upon-Thames, offering a mix of onsite and remote work.

Qualifications

  • Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines.
  • Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning.
  • Hands-on experience in Generative AI or Model Optimization.

Responsibilities

  • Conduct cutting-edge research in AI.
  • Develop high-quality code for reproducible research.
  • Publish findings in top-tier conferences.

Skills

Machine Learning
Deep Learning
Computer Vision
Programming in Python
Mathematics

Education

PhD in ML/AI or related fields

Tools

PyTorch
SciKit
NumPy
Job description
Position Summary

We currently have an exciting opportunity available for a Machine Learning Engineer to join the AI Research Team here at Samsung.

The Samsung Research and Development Institute, UK (SRUK), conducts cutting-edge applied research on AI foundations and challenges to develop state-of-the-art solutions for real-world large-scale problems. The AI Research Team focuses on diverse AI fields, including machine learning, deep learning, and computer vision.

This is an outsourced contract role working on an hourly rate via one of our preferred recruitment agencies. The contract will run until 31st Dec 2025.

Role and Responsibilities

As a forward-thinking company at the forefront of innovation, we seek an individual passionate about pushing the boundaries of AI:
  • Conduct cutting-edge research to develop state-of-the-art solutions or propose novel research challenges based on real-world case studies in AI.
  • Develop high-quality code with detailed documentation to support reproducible research in local and international AI communities.
  • Review state-of-the-art research papers and develop prototype solutions.
  • Publish findings in top-tier conferences and journals, such as NeurIPS, ICML, ICLR, EMNLP, CVPR, ICCV, ECCV, AAAI, ACL, IEEE TPAMI, IEEE TNNLS, IJCV, and JMLR.
Skills and Qualifications

  • Pursuing or completed PhD in ML/AI, Computer Science/Engineering, or related disciplines.
  • Proficiency in mathematics (calculus, probability, statistics, linear algebra, optimization) and computer science (algorithms, data structures, parallel/distributed computing).
  • Strong fundamentals in Machine Learning, Computer Vision, and Deep Learning.
  • Hands-on experience in areas such as Generative AI, Foundation Models, Parameter-Efficient Fine-Tuning (PEFT), Data/Model Privacy, or Model Optimization for Multi-Task Learning.
  • First-author publications in top ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, CVPR, ECCV, IEEE TPAMI, AAAI).
  • Experience in Linux environments.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience with machine learning libraries like PyTorch, SciKit, NumPy, etc.
  • Excellent communication skills, teamwork abilities, and a results-oriented attitude.
  • Strong problem-solving and debugging skills.
Desirable Skills:
  • Expertise in Image/Video generation, PEFT-LoRA, Diffusion/Autoregressive Models.
  • Experience in Knowledge Distillation.
  • Experience in computer graphics and rendering for visualization.
Location and Hybrid Working:
  • The role is based at Samsung R&D Institute in Staines-upon-Thames, Surrey, UK.
  • Samsung operates a hybrid working policy of 3 days onsite and 2 days remote weekly.
Samsung has a strict policy on trade secrets. In applying to Samsung and progressing through the recruitment process, you must not disclose any trade secrets of a previous employer.

* Please visit Samsung membership to see Privacy Policy, which defaults according to your location, at: https://account.samsung.com/membership/policy/privacy. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here: https://europe-samsung.com/ghrp/PrivacyNoticeforEU.html
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