Reflection is seeking a Member of Technical Staff – Multilingual Data to help develop advanced artificial intelligence systems and improve the multilingual capabilities of large language models. Based in London, United Kingdom, this full-time opportunity is suited to experienced software engineers, machine learning specialists and multilingual data professionals interested in building open AI models.
The successful candidate will work on large-scale data pipelines, multilingual datasets, language model evaluations and research projects designed to improve AI performance across different languages. Reflection also states that it offers visa sponsorship to help exceptional international talent join its team, subject to applicable conditions.
This opportunity may interest qualified professionals looking for AI research jobs in the UK with potential visa sponsorship.
Job Overview
- Job Title: Member of Technical Staff – Multilingual Data
- Company: Reflection
- Location: London, United Kingdom
- Job Type: Full-time
- Industry: Artificial Intelligence, Machine Learning and Software Engineering
- Visa Sponsorship: Available for eligible candidates
- Salary: Not specified in the advertisement
- Benefits: Stock options, healthcare, paid leave and other employee benefits
About Reflection
Reflection is an AI research lab focused on developing open models that make artificial intelligence more accessible and customisable.
The company works on foundational AI models and related technologies, with an emphasis on enabling developers and organisations to build on open AI systems.
In this role, the successful candidate will contribute to improving how AI models understand and perform across languages, including languages with fewer digital resources.
Key Responsibilities
The Member of Technical Staff – Multilingual Data will contribute to research and engineering initiatives involving multilingual AI development.
Responsibilities include:
- Designing and maintaining large-scale multilingual data pipelines.
- Collecting, cleaning, deduplicating and processing datasets across different languages and writing systems.
- Evaluating translation quality, cultural accuracy, toxicity and data contamination.
- Conducting experiments to improve multilingual training efficiency for large language models.
- Developing evaluation datasets to identify weaknesses in AI performance across languages and subject areas.
- Collaborating with pre-training, mid-training and post-training teams.
- Leading research projects and using measurable results to improve model performance.
The role combines software engineering, data processing, scientific experimentation and multilingual natural language processing.
Eligibility Requirements
Applicants should have strong technical skills and experience relevant to multilingual data engineering and AI research.
Key requirements include:
- Strong software engineering fundamentals.
- Experience processing large datasets in distributed computing environments.
- Experience developing data pipelines for language models, machine translation, speech technology or search systems.
- Fluency or working proficiency in at least one language besides English.
- An understanding of multilingual data quality and language-specific challenges.
- Strong analytical and problem-solving skills.
- The ability to conduct experiments, interpret results and work independently.
- Comfort working in a collaborative, fast-moving research environment.
Additional advantages include:
- A master’s degree or PhD in Computer Science, Machine Learning or a related discipline.
- Publications or research experience in multilingual natural language processing, low-resource languages or AI evaluation.
- Experience managing annotation vendors or large-scale crowdsourced data projects.
- Familiarity with tokenizer design and non-Latin writing systems.
Applicants should demonstrate relevant professional experience rather than relying solely on general interest in artificial intelligence.
Salary and Employee Benefits
Reflection does not disclose a specific salary range in the supplied advertisement. However, the company lists several benefits, including:
- Competitive compensation and equity.
- Stock options for employees.
- Medical, dental, vision and life insurance.
- An annual wellness allowance.
- Lunch and dinner provided at the office.
- Up to 22 weeks of paid parental leave for eligible parents.
- 30 days of paid time off for UK employees.
- Visa sponsorship and support for longer-term immigration pathways where applicable.
- Team events, off-sites and employee social activities.
The exact compensation package and immigration arrangements should be confirmed during recruitment.
UK Visa Sponsorship for International Applicants
Reflection states that it sponsors visas to help exceptional candidates join its team and supports longer-term immigration pathways where applicable.
International applicants may therefore consider applying if they possess the required software engineering, AI research and multilingual data skills.
However, visa sponsorship is not guaranteed for every applicant. Candidates should confirm whether the position qualifies for the relevant UK work visa route and whether they meet the applicable immigration requirements. The employer also notes that certain roles may be subject to US export-control restrictions, which could affect access to specific technologies or source code.
How to Tailor Your CV for This AI Job
To improve your application, tailor your CV to the multilingual data and AI engineering requirements.
- Highlight technical expertise: Include relevant programming languages, distributed data processing tools, machine learning frameworks and data engineering technologies you have used.
- Showcase multilingual projects: Describe experience working with different languages, translation systems, speech recognition or natural language processing.
- Demonstrate measurable outcomes: Explain how your work improved dataset quality, model performance, processing efficiency or evaluation accuracy.
- Include research experience: List relevant publications, experiments, technical reports or contributions to AI projects.
- Emphasise language skills: Clearly state your proficiency in languages besides English and any experience working with low-resource languages.
- Use relevant keywords: Where accurate, incorporate terms such as multilingual NLP, large language models (LLMs), data pipelines, machine learning, distributed computing and model evaluation.
Keep your CV focused on achievements that demonstrate your ability to improve AI systems through high-quality data and rigorous engineering.
How to Apply for the Reflection Job in London
Interested candidates can apply through the company’s recruitment page linked from Indeed.
Application link: https://uk.indeed.com/applystart?jk=7fecc80d8e537038
Applicants should prepare an up-to-date CV highlighting their software engineering experience, multilingual data projects, machine learning knowledge and relevant research achievements.
During the application process, candidates should also explain their experience with large-scale datasets, language processing and AI evaluation. International applicants who require sponsorship should clarify their circumstances with the recruitment team.
Important Disclaimer: OpportunityShape shares job vacancies to help professionals discover international employment opportunities. We are not affiliated with Reflection and do not guarantee recruitment, salary, visa sponsorship or immigration approval. Sponsorship is subject to the employer’s recruitment decisions and applicable immigration requirements. Applicants should verify the vacancy, employment conditions and sponsorship availability directly with the company before applying.
