At a Glance
- Tasks: Accelerate Machine Intelligence research and develop ML prototypes for real-world applications.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic, collaborative environment with a focus on high-quality engineering standards.
- Why this job: Make a global impact by turning cutting-edge research into products used by millions.
- Qualifications: Master's in Computer Science or related field; experience with ML models and Python.
The predicted salary is between 70000 - 122600 £ per year.
We're seeking a hands-on ML Research Engineer to accelerate our Machine Intelligence research area.
You work confidently across training, fine‑tuning, inference and evaluation, at single- and multi‑GPU scale, with strong data-pipeline, debugging and data‑analysis skills.
Working closely with researchers, you'll design, implement and validate proof‑of‑concept solutions to Machine Intelligence problems, then partner with product teams to land that research in shipping products used by millions of people world‑wide.
Responsibilities
- Combine strengths in ML research and software engineering competence to contribute to the design and prioritisation of research activities.
- Build prototypes of ML systems to demonstrate research value, in some cases bringing these prototypes all the way to product‑level readiness.
- You like getting things done.
- Evaluate research prototypes, and help write up results to communicate outcomes clearly.
- Collaborate with researchers and product teams, helping smooth technology transfer between them.
- Reinforce a positive environment by applying best practices and high‑quality engineering standards.
- Gain deep expertise in one (or more) sub‑areas of research, and general understanding of a broad area.
- Understand the relevant literature and applicable research techniques.
- Contribute to academic publication of research outcomes.
- Proactively ensure high standard of software security over research prototypes and library supply chains.
- Understand and follow ethics and privacy policies relating to research processes and data handling, as appropriate.
Qualifications
- Required: Master degree in Computer Science or related area, or equivalent training and experience in research.
- Experience with modern ML model architectures in Py Torch.
- Proficient in collaborative software development in Python.
- Skills in data analysis and model evaluation.
- Experience of performance tuning in ML systems.
- Experience communicating in English, both written and spoken, including the skill to communicate technical results and justify assumptions to diverse technical audiences.
- Willingness and flexibility to operate in a highly agile and dynamic environment.
- Preferred Qualifications
- Doctorate (Ph D) in Computer Science or related area, or equivalent training and experience in research.
- Demonstrated ability to work in large codebases.
- Proficient in lower‑level engineering skills (eg C/C++/Rust) or equivalent systems languages.
- Experience of cluster‑based distributed data processing techniques.
Compensation
Research Sciences IC4 – The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year.
Certain roles may be eligible for benefits and other compensation.
#J-18808-Ljbffr
