Senior Research Engineer - On-Device AI - 6 Month Contract

Samsung Electronics Perú; Staines-upon-Thames; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading tech research firm in Staines-upon-Thames is seeking a Senior Research Engineer to enhance mobile deployments with innovative AI technologies. The role involves performance debugging, collaboration with multidisciplinary teams, and direct contributions to Samsung's product integration. Candidates should possess expertise in Python, Rust, and machine learning principles with a strong analytical mindset. This 6-month contract includes a hybrid working policy, encouraging onsite collaboration while accommodating remote work.

Qualifications

• Expertise in system-level performance analysis and OS fundamentals.
• Proficiency in Python and Rust programming.
• Strong understanding of machine learning and deep learning.

Responsibilities

• Profile and debug performance bottlenecks at the OS and model levels.
• Work across the stack for runtime integration of AI models.
• Contribute to open-source libraries with new features.

Skills

System level performance analysis

ARM CPU architectures

Python programming

Rust programming

Machine learning fundamentals

Analytical problem-solving

Communication skills

Tools

C programming

C++ programming

ExecuTorch

llama.cpp

Candle

Job description

**Position Summary**Samsung Research UK (SRUK) is seeking exceptional and highly motivated Senior Research Engineer to join our growing AI team in Staines-upon-Thames. We are at the forefront of developing innovative technologies for future Samsung devices and services, and this role offers a unique opportunity to shape the next generation of mobile experiences. You will be instrumental in translating cutting-edge research into real-world impact, working on challenges that demand both creative problem-solving and robust engineering practices. This is a chance to join a dynamic team that is pushing the boundaries of what’s possible with on-device AI, bringing advanced deep learning, LLMs, and VLMs onto real mobile and edge platforms. You will see your work shipped in production and running in the hands of real users. We welcome applications from individuals with strong experience in building and deploying complex machine learning systems, and offer the opportunity to deepen your expertise in a technically challenging and rewarding environment.**Role and Responsibilities**As a Senior Research Engineer for mobile deployment, you will:* Profile and debug performance bottlenecks at the OS, runtime, and model levels.* Work across the stack: from model conversion, quantization, and optimization through to runtime integration of AI models on-device.* Evaluate and compare different deployment toolchains and runtimes for latency, memory, and accuracy trade-offs.* Contribute an open-source library by adding new features and improving its capabilities.* Evaluate the performance of algorithms and systems through rigorous experimentation and statistical analysis.* Lead the development of software prototypes and experimental systems, ensuring high code quality and maintainability.* Collaborate with a multidisciplinary team of researchers and engineers to integrate research findings into Samsung products and services.**Skills and Qualifications****Required Skills:*** System level performance analysis and strong OS fundamentals (memory management, multithreading/synchronisation, user/kernel mode interaction) and Virtual Machines.* Understanding of ARM CPU architectures.* Expert proficiency in Python and Rust programming languages.* Solid understanding of machine learning and deep learning fundamentals, including various architectures, and evaluation metrics.* Strong analytical and problem-solving skills, with the ability to design and conduct rigorous experiments.* Excellent communication and team work skills, with a results-orientated attitude* Proficiency in problem solving and debugging.**Desirable Skills:*** Expert proficiency in C and C++ programming languages* Experience working with ARM 64-bit architecture.* Familiarity with CPU hardware architectures.* Experience with trusted execution environments, specifically confidential computing.* Previous hands-on experience with deep learning model optimization: quantization, pruning, distillation, or operator-level optimizations.* Experience with deploying AI models on-device (mobile, embedded, XR, edge accelerators, etc.).* Familiarity with on-device / lightweight inference runtimes such as: ExecuTorch, llama.cpp, or Candle (or similar libraries).**Contract Type:** 6 Month outsourced contract inside IR35, working on an hourly rate via one of our preferred recruitment agencies**Location:** Samsung R&D Centre in Staines-upon-Thames, Surrey, UK**Hybrid Policy:** 3 Days working onsite (minimum) and 2 days working from home weeklySamsung 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: . You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click :