Machine Learning Research Engineer - Speech/Audio/Gen-AI - 6 Month Fixed Term Contract

Samsung Electronics America
Staines-upon-Thames
2 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Research Engineer

Machine Learning Research Engineer

Machine Learning - (Speech) - Contract

Senior Machine Learning Research Engineer - 6840

Machine Learning Researcher

Machine Learning Quantitative Researcher

Position Summary

Samsung Research UK (SRUK) is seeking an exceptional and highly motivated ML 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 contribute to a dynamic team, pushing the boundaries of what’s possible in AI for mobile, and to see your contributions deployed to millions of users worldwide. We encourage applications from individuals with a strong academic background and proven expertise in the development of complex audio and speech‑related applications. You will have the opportunity to expand your expertise within a challenging and rewarding environment.


This is a 6‑month fixed‑term contract and we are looking for someone who can start the role as soon as possible. It would suit either a PhD student looking for an internship or a PhD holder looking for a fixed‑term contract.


Role and Responsibilities

As a Machine Learning Research Engineer in Speech/Audio/Gen‑AI, you will:



  • Conduct independent research in audio and speech processing, focusing on areas such as signal processing, machine learning, and deep learning.
  • Design, develop, and implement innovative algorithms and systems for audio/speech analysis, enhancement, separation, and understanding.
  • Lead the development of software prototypes and experimental systems, ensuring high code quality and maintainability.
  • Collect, analyze, and prepare data for training and evaluating machine learning models, and contribute to dataset creation and curation.
  • Evaluate the performance of algorithms and systems through rigorous experimentation and statistical analysis.
  • Collaborate with a multidisciplinary team of researchers and engineers to integrate research findings into Samsung products and services.
  • Contribute to the dissemination of research results through publications in top‑tier conferences and journals.

Skills and Qualifications
Required Skills

  • PhD degree in Artificial Intelligence, Computer Science/Engineering, Electrical Engineering, or a related discipline.
  • Strong programming skills in Python, with experience in developing and debugging complex software systems. Proficiency in C++ is a plus.
  • Solid understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics.
  • Proven research experience in audio and speech processing, demonstrated through publications in top‑tier conferences and journals (e.g., ICML, NeurIPS, ICLR, INTERSPEECH, ICASSP, IEEE/ACM TASLP).
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Strong analytical and problem‑solving skills, with the ability to design and conduct rigorous experiments.
  • Excellent communication and teamwork skills.

Desirable Skills

  • Experience with audio signal processing techniques and tools (e.g., filter design, spectral analysis).
  • Experience with speech recognition, text‑to‑speech, speech enhancement or natural language processing technologies.
  • Experience with generative AI, particularly in the context of audio/speech technologies.
  • Experience with version control systems (e.g., Git) and software development best practices.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).
  • Experience with large‑scale data processing and distributed computing.

Location and Hybrid Working

  • The role is based at Samsung R&D Institute in Staines‑upon‑Thames, Surrey, UK.
  • Samsung currently operates a hybrid working policy of 3 days onsite and 2 days working from home 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


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.