Total 32 Internship level Education / Training job vacancies in HOLYROOD PARK HOUSE 106 HOLYROOD ROAD, SCOTLAND EDINBURGH

Job Overview:

We are looking for a motivated Market Research Intern to assist in gathering and analysing data related to the interior design industry.

This role offers an excellent opportunity to gain hands-on experience in market research.

Key Responsibilities:

• Conduct market research on industry trends and customer

preferences.

• Assist in creating surveys and questionnaires.

• Analyse data and prepare reports.

• Stay updated on interior design trends in Singapore.

Qualifications:

• Currently pursuing or recently graduated with a degree in Marketing,

Business, or Interior Design.

• Strong analytical skills and attention to detail.

• Excellent written and verbal communication skills.

• Proficient in Microsoft Office.

This will be a 6 months internship from Jan to Jun 2025. Please only apply if you are able to commit to the internship full-time.

MAIN PURPOSE

We are seeking a motivated and dynamic Regional Learning and Organisation Development Intern to join our team. This internship offers an opportunity to gain hands-on experience in learning and development initiatives, organizational effectiveness, and employee engagement strategies within a regional context in Shiseido.

KEY RESPONSIBILITIES

• Learning & Development Support
• Assist with logistics for training sessions, including materials preparation, design of communication etc.
• Record and track course catalogue, course schedules and upload course content.
• Collate and analyse post course evaluation data and recommend areas of improvement as needed.
• Maintain accurate records of learning activities, attendance, and participant progress.
• Analyse data and generate insights - prepare presentations and reports for internal stakeholders
• Digital and Creative Lead
• Develop and create targeted content (eg communication videos, presentation decks) for employee engagement activities and/or corporate events such as Townhalls.
• Creative lead in designing collaterals, prototyping course contents, and exploring new tools to create employee engagement materials (e.g. Canva, Powtoon, Mentimeter, etc.)
• Project Participation
• Contribute to organizational development projects aimed at improving workplace culture and employee engagement.
• Participate in team meetings and contribute ideas to support the implementation of any T&OD initiatives

REQUIREMENTS

• Proficient in MS Office Applications and various multi-media softwares
• Undergraduates in Human Resource, Business Admin, Marcoms, Communications & New Media, Business & Computing are welcome
• Strong interpersonal and communication skills
• Proficiency in authoring tools for e-learning will be an advantage
• High-energy, creative, proactive, and resourceful

PLEASE NOTE

Interested applicants, please apply directly via Shiseido's career page using the link right below for faster processing of your application. Thank you.

URL: https://careers.shiseido.com/job/Singapore-Asia-Pacific-Regional-Learning-&-Organisation-Development-Intern-01/1137561401/

The intern of 6 months is largely expected to work in an office environment from 8.30 am to 6.00 pm on weekdays and may also be required to travel out of the office for meetings. On occasions, the jobholder may need to work outside official hours on weekends to support the running of events.

We are seeking an individual who is either currently pursuing or has completed an IT-related diploma such as Diploma in Applied AI & Analytics or Diploma in Information Technology or Design for User Experience (DDUX) from Singapore Polytechnic or Republic polytechnic. The intern will play a crucial role in the planning and implementation of our Learning Management System and the integration of AI technologies into our systems.

Project Specification Including Learning Points for a Polytechnic Intern Involved in the LMS Tender Preparation at Mendaki

Project Overview

The objective of this project is to prepare a tender document for a new Learning Management System (LMS) that will significantly enhance the delivery of educational programs at Mendaki. This will be achieved by conducting thorough needs solicitation and analysis, which will also provide a practical learning opportunity for a polytechnic intern involved in the project.

Objectives

- To gather and analyse detailed functional and technical requirements for the new LMS.

- To enable the polytechnic intern to gain hands-on experience in project management, stakeholder engagement, and technical documentation.

- To ensure the LMS aligns with Mendaki’s strategic educational and technological goals.

Scope

- The project encompasses the solicitation of needs, comprehensive requirement analysis, and the drafting of a detailed tender document for procuring the LMS.

- Incorporation of specific learning objectives for the intern to ensure a meaningful internship experience.

- Engagement with various stakeholders to refine the requirements and expectations for the LMS.

- Learn new tools to create educational content and support some administrative duties at work

Phases of the Project with Intern Learning Points

Phase 1: Needs Solicitation

(A) Objectives:

- Collect comprehensive user requirements from diverse stakeholders.

- Provide the intern with experience in designing and conducting surveys and focus groups.

- Identify limitations of the current system and desired improvements.

(B) Activities

- Assist in preparing and distributing surveys, conducting interviews under supervision.

- Participate in and document focus group discussions.

- Analyse feedback to help identify critical system requirements.

(C) Learning Points

- Gain insights into effective data collection methods.

- Understand the importance of stakeholder input in project specifications.

- Develop communication and analytical skills.

Phase 2: Requirement Analysis

(A) Objectives

- Translate collected data into actionable system requirements.

- Categorize requirements to prioritize system functionalities.

- Train the intern in requirement analysis and documentation.

(B) Activities

- Collaborate with IT specialists to assess and document technical and functional requirements.

- Help in prioritizing requirements based on impact and feasibility.

- Draft sections of the requirements document.

(C) Learning Points

- Learn how to perform qualitative and quantitative data analysis.

- Develop skills in technical writing and specification documentation.

- Understand system design and architecture principles.

Phase 3: Drafting the Tender Document

(A)Objectives

- Develop a comprehensive tender document that includes all technical specifications and evaluation criteria.

- Educate the intern on the legal and compliance aspects of tender preparation.

- Ensure the document meets all regulatory and organizational requirements.

(B)Activities

- Draft sections of the tender document focusing on technical and functional requirements.

- Define and document vendor qualifications and submission guidelines.

- Revise the draft based on internal feedback.

(C) Learning Points

- Experience in drafting formal procurement documents.

- Understanding of compliance and procurement processes.

- Skills in revising and finalising professional documents based on feedback.

Timeline

Scheduled to begin on Start Date and complete by [End Date], structured to facilitate the intern’s learning process throughout the project duration.

Success Criteria

- Accurate documentation of user needs and system requirements leading to a robust tender document.

- Positive stakeholder feedback on the tender document and project execution.

- Effective learning outcomes for the intern as evaluated through regular reviews and feedback sessions.

- Learn new tools for educational content development and support some administrative tasks

This project specification ensures a structured approach to soliciting needs and preparing a tender document for an LMS at Mendaki while providing a rich learning environment for a polytechnic intern, integrating professional development with meaningful project contributions.

Other Tasks

1.Administrative Support: On the administrative side, the intern could manage schedules, arrange meetings, take meeting notes, and prepare materials for presentations related to project management. This helps in keeping the project timeline on track and ensuring effective communication among team members.

2.Educational Content Development: As part of CDLT, the intern could also assist in developing training materials or guides based on the new system functionalities introduced, facilitating smoother adoption by end-users across the organisationJob Summary:

We are a leading fintech company specializing in capital markets. Our mission is to revolutionize the financial industry through innovative technology and data-driven strategies. We are looking for a motivated and talented Machine Learning Intern to join our dynamic team and contribute to our cutting-edge projects. We are seeking individuals who are passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to tackle financial challenges. Ideal candidates should possess an open mind and a creative approach to developing innovative solutions for complex financial problems and join our dynamic team and contribute to our cutting-edge projects.

Responsibilities:

• Develop and implement machine learning models to address complex financial and insurance challenges.
• Apply large language models (LLMs) for document analysis and information extraction.
• Utilize machine learning techniques for predictive analytics and data-driven decision-making.
• Collaborate with team members to integrate components into a cohesive AI pipeline.
• Clean, preprocess, and analyze large datasets using statistical and machine learning techniques.
• Design and build scalable machine learning pipelines with data scientists and engineers.
• Conduct exploratory data analysis to generate actionable insights.
• Stay up-to-date with advancements in machine learning and AI to propose innovative solutions.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Document and present your work, findings, and results to both technical and non-technical stakeholders.

Requirements:

• Currently pursuing a master’s or bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
• Expertise in exploratory data analysis of large data sets.
• Experience in deploying large language models (LLMs) and familiarity with various AI platforms and tools, including Mistral AI, Whisper AI, and Claude AI etc.
• Familiarity with data preprocessing techniques and tools.
• Knowledge of statistical analysis and data visualization techniques.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.
• Prior experience with financial data or in the fintech industry is a plus.

What We Offer:

• Hands-on experience with real-world machine learning projects in the fintech sector.
• Mentorship and guidance from experienced data scientists and engineers.
• Opportunity to work in a fast-paced, innovative, and collaborative environment.
• Networking opportunities with industry professionals.
• Potential for future career opportunities within the company.

How to Apply: If you are passionate about machine learning and eager to make an impact in the fintech industry, we would love to hear from you. Please submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work to careers@upskills.com.

Equal Opportunity Employer: Klaara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following fields:

• Conversational AI
• Multimodal Data Intelligence
• Multimodal Content Generation
• Fundamentals of Machine Learning and AI
• Responsible & Trusted AI
• Natural Language Processing

Areas of Application:

• Software Intelligence
• AI for Operations
• AI for Availability & Security
• Environment & Sustainability
• Candidates that have published in top-tier conferences or journals (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR,) are preferred.

As a research intern, you will:

Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference

Learn about exciting research and applications outside your expertise

Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community

Attend conferences with our researchers to showcase your accepted papers

Requirements:

• PhD candidate in a relevant research area
• Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, GAN, attention models, and optimization methods
• Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer
• Strong background in machine learning, deep learning, natural language processing, or reinforcement learning
• Strong algorithmic problem solving skills
• Programming experience in Python, Java, C/C++, Lua, or a similar language

This internship is a minimum of 12 weeks

Millennium participates in major markets around the world and works to continually evaluate new strategies that fit our risk and return characteristics. We work to maintain agility at scale, which enables us to pursue new investment opportunities in a meaningful way. Our Quantitative Research Interns work within our Investment Teams to help build and grow their businesses.

Job Responsibilities

• Explore and analyze a vast array of datasets, including both market data from asset trading and alternative data from other aspects of the economy using machine learning/statistical/applied math/econometric techniques
• Apply statistical and machine learning techniques to test investment ideas
• Collaborate with portfolio managers, quantitative researchers, and software engineers to deploy these investment ideas and make an impact on the team’s PnL.
• Analyze financial data and develop predictive models to support decision making within the team
• Implement and develop machine learning algorithms to be leveraged in the investment process
• Collaborate with the team to identify opportunities for process improvement and innovation
• Build broad set of research tools for systematic portfolio managers ranging from data acquisition/normalization libraries to backtesters and portfolio optimizers

Qualifications, Skills and Requirements

• Cumulative GPA of 3.5 and above required
• Pursuing a master’s degree in a technical or quantitative discipline; such as Financial Engineering, Quantitative and Computational Finance, Statistics, Mathematics, Physics, or Computer Science
• Demonstrated proficiency in at least C++ or Python
• Experience performing an in-depth research project examining real-world data

Preferred Experience

• Independent thinker who can creatively approach data analysis and communicate complex observations in a simple and intuitive manner
• A background in finance is not necessary. We can teach the financial aspects of the job if you display the necessary quantitative skills

Responsibilities

• Assist Research Team in preparing of presentations and reports
• Simple data mining and analysis
• Update research databases
• Attend meetings and write meeting briefs
• Answer simple investment questions from financial advisors and customer service executives
• Undertake any other duties assigned to him from time to time by the Research Manager

Requirements

• Pursuing a degree qualification in a related discipline (Economics, Finance, International Business/Commerce), with strong quantitative and qualitative analysis abilities
• Good understanding of macroeconomics and investment valuation methodologies
• Willingness to learn and support the team in all activities
• No prior experience is needed
• Able to commit for minimum three months starting November/ December 2024

We are a leading fintech company specializing in capital markets. Our mission is to revolutionize the financial industry through innovative technology and data-driven strategies. We are looking for a motivated and talented Machine Learning Intern to join our dynamic team and contribute to our cutting-edge projects. We are seeking individuals who are passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to tackle financial challenges. Ideal candidates should possess an open mind and a creative approach to developing innovative solutions for complex financial problems and join our dynamic team and contribute to our cutting-edge projects.

Responsibilities:

• Develop and implement machine learning models to address complex financial and insurance challenges.
• Apply large language models (LLMs) for document analysis and information extraction.
• Utilize machine learning techniques for predictive analytics and data-driven decision-making.
• Collaborate with team members to integrate components into a cohesive AI pipeline.
• Clean, preprocess, and analyze large datasets using statistical and machine learning techniques.
• Design and build scalable machine learning pipelines with data scientists and engineers.
• Conduct exploratory data analysis to generate actionable insights.
• Stay up-to-date with advancements in machine learning and AI to propose innovative solutions.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Document and present your work, findings, and results to both technical and non-technical stakeholders.

Requirements:

• Currently pursuing a master’s or bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
• Expertise in exploratory data analysis of large data sets.
• Experience in deploying large language models (LLMs) and familiarity with various AI platforms and tools, including Mistral AI, Whisper AI, and Claude AI etc.
• Familiarity with data preprocessing techniques and tools.
• Knowledge of statistical analysis and data visualization techniques.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.
• Prior experience with financial data or in the fintech industry is a plus.

What We Offer:

• Hands-on experience with real-world machine learning projects in the fintech sector.
• Mentorship and guidance from experienced data scientists and engineers.
• Opportunity to work in a fast-paced, innovative, and collaborative environment.
• Networking opportunities with industry professionals.
• Potential for future career opportunities within the company.

How to Apply: If you are passionate about machine learning and eager to make an impact in the fintech industry, we would love to hear from you. Please submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work to careers@upskills.com.

Equal Opportunity Employer: Klaara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Duration: 9 months

Location: Telok Ayer

Working Hours: Monday - Friday 8.30am to 5.30pm

Responsibilities:

• Support and work alongside the Market Analyst to achieve greater impact and insight for New Zealand exporting companies to help companies establish and grow their business internationally.
• Do will be general research support and will involve working in a proactive manner, hunting for knowledge, trends and insights to benefit New Zealand exporting companies across the region.
• This role and team are an essential part in supporting the company strategy for the South East and East Asia region.

Requirements:

• Education - Market analysis or similar study
• Relationship Builder - Deep listener, who takes time to really understand, along with being a team player.
• Flexible - Able to proactive and reactive all at the same time, managing multiple priorities and eliminating roadblocks without being knocked off balance by the unexpected.
• Eye for Detail - Ensure the details are accurate with the ability to ask questions when not sure.
• Extras - Tech savvy with strong computer literacy in MS Office products is essential. Excellent written and oral communication skills in English.

Should you be interested in this position, please contact Mandy at 9640 2934 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R23114622 So Man Xin

Our client, a reputable International School is seeking an energetic Teacher who is responsible to carry out the professional duties of a teacher as circumstances may require and in accordance with the school's policies under the direction of the school’s Principal. The school envisioned to be the leading educational institution where each and every learner is developed holistically and given opportunities to flourish successfully.

We invite qualified and experienced candidates to join us as TEACHERS for our Primary and Secondary level

1. Science Teacher (Temporary from 12 Aug to 13 Dec 2024, maternity cover)

Essential Duties and Responsibilities:

• To carry out the professional duties of a teacher as circumstances may require and in accordance with the school's policies under the direction of the school’s Principal.
• To conduct assessment, recording and reporting on the work of students and attending Parents’ Meetings to meet parents and discuss the progress of individual students
• To set appropriate individual student targets in line with the school and departmental targets/policy
• To undertake appropriate training including INSET days at the start of each term
• Promoting and participating in your own continuous professional development:
• To be involved in Co or Extra Curricular Activities and school event days
• To undertake any other ad-hoc duties as assigned

Job Requirements:

• At least a Bachelor’s degree in Education/ Teaching or equivalent, recognized by the CPE/MOE in Singapore
• Higher degree or recognized professional qualification (preferred) Evidence of continued relevant professional development
• PGDE and/or PGCE is preferable. Preferably a Teacher’s Licence (NIE certification)
• 3- 5 years of teaching experience in a similar or related environment
• Demonstrate an acute and deep understanding of a primary/ secondary school curriculum
• Teaching or pedagogical skills
• Passion for developing young learners

Jessie Hoe Huey Miin

CEI R1103861

EA: 99C4599

Achievers Dream Learning Centre recognizes the influential role of social media in shaping trends and connecting with audiences. As a TikTok Content Creator, you will play a key role in our social media strategy, working to enhance brand awareness, engagement, and the creation of viral content.

Responsibilities:

• Conceptualize and craft engaging, original short-form video content for TikTok that aligns with the brand's voice and objectives.
• Stay abreast of TikTok trends, challenges, and cultural moments to seamlessly integrate relevant and timely content into our social media strategy.
• Execute end-to-end video production, encompassing filming, editing, sound design, and visual effects, ensuring the delivery of engaging content.
• Experiment with diverse video styles, techniques, and formats to maintain content freshness and appeal to a broad audience.
• Actively engage with TikTok followers, monitor comments and trends, fostering a sense of community and driving meaningful interactions.
• Analyze video performance metrics and insights, adapting content strategies to boost engagement and facilitate growth.

Requirements:

• Demonstrated track record of TikTok Content Creation, supported by a portfolio showcasing your ability to generate viral content.
• In-depth understanding of TikTok's platform, trends, challenges, and its unique community culture.
• Proficiency in video editing software and creative tools to produce visually appealing and well-edited content.
• Strong visual and storytelling skills, exhibiting an eye for detail and an ability to capture attention quickly.
• Capacity to thrive in a fast-paced environment, managing multiple projects and meeting tight deadlines without compromising quality.
• Excellent communication skills for effective collaboration with team members and engaging with the TikTok audience.

Working hours: Mondays to Fridays, 12:30pm to 9:00pm

We look forward to meeting you!

We are a leading fintech company specializing in capital markets. Our mission is to revolutionize the financial industry through innovative technology and data-driven strategies. We are looking for a motivated and talented Machine Learning Intern to join our dynamic team and contribute to our cutting-edge projects. We are seeking individuals who are passionate about harnessing the power of Machine Learning (ML) and Artificial Intelligence (AI) to tackle financial challenges. Ideal candidates should possess an open mind and a creative approach to developing innovative solutions for complex financial problems and join our dynamic team and contribute to our cutting-edge projects.

Responsibilities:

• Develop and implement machine learning models to address complex financial and insurance challenges.
• Apply large language models (LLMs) for document analysis and information extraction.
• Utilize machine learning techniques for predictive analytics and data-driven decision-making.
• Collaborate with team members to integrate components into a cohesive AI pipeline.
• Clean, preprocess, and analyze large datasets using statistical and machine learning techniques.
• Design and build scalable machine learning pipelines with data scientists and engineers.
• Conduct exploratory data analysis to generate actionable insights.
• Stay up-to-date with advancements in machine learning and AI to propose innovative solutions.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Document and present your work, findings, and results to both technical and non-technical stakeholders.

Requirements:

• Currently pursuing a master’s or bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Proficient in Python programming with hands-on experience in data manipulation and machine learning libraries, including Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch.
• Expertise in exploratory data analysis of large data sets.
• Experience in deploying large language models (LLMs) and familiarity with various AI platforms and tools, including Mistral AI, Whisper AI, and Claude AI etc.
• Familiarity with data preprocessing techniques and tools.
• Knowledge of statistical analysis and data visualization techniques.
• Strong problem-solving skills and ability to work independently as well as in a team.
• Excellent communication skills, both written and verbal.
• Prior experience with financial data or in the fintech industry is a plus.

What We Offer:

• Hands-on experience with real-world machine learning projects in the fintech sector.
• Mentorship and guidance from experienced data scientists and engineers.
• Opportunity to work in a fast-paced, innovative, and collaborative environment.
• Networking opportunities with industry professionals.
• Potential for future career opportunities within the company.

How to Apply: If you are passionate about machine learning and eager to make an impact in the fintech industry, we would love to hear from you. Please submit your resume, a cover letter explaining your interest in the position, and any relevant project or research work to careers@upskills.com.

Equal Opportunity Employer: Klaara is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Achievers Dream Learning Centre recognizes the influential role of social media in shaping trends and connecting with audiences. As a TikTok Content Creator, you will play a key role in our social media strategy, working to enhance brand awareness, engagement, and the creation of viral content.

Responsibilities:

• Conceptualize and craft engaging, original short-form video content for TikTok that aligns with the brand's voice and objectives.
• Stay abreast of TikTok trends, challenges, and cultural moments to seamlessly integrate relevant and timely content into our social media strategy.
• Execute end-to-end video production, encompassing filming, editing, sound design, and visual effects, ensuring the delivery of engaging content.
• Experiment with diverse video styles, techniques, and formats to maintain content freshness and appeal to a broad audience.
• Actively engage with TikTok followers, monitor comments and trends, fostering a sense of community and driving meaningful interactions.
• Analyze video performance metrics and insights, adapting content strategies to boost engagement and facilitate growth.

Requirements:

• Demonstrated track record of TikTok Content Creation, supported by a portfolio showcasing your ability to generate viral content.
• In-depth understanding of TikTok's platform, trends, challenges, and its unique community culture.
• Proficiency in video editing software and creative tools to produce visually appealing and well-edited content.
• Strong visual and storytelling skills, exhibiting an eye for detail and an ability to capture attention quickly.
• Capacity to thrive in a fast-paced environment, managing multiple projects and meeting tight deadlines without compromising quality.
• Excellent communication skills for effective collaboration with team members and engaging with the TikTok audience.

Working hours: Mondays to Fridays, 12:30pm to 9:00pm

We look forward to meeting you!

Proud member of the Disability Confident employer scheme

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Rakuten Group, Inc. is a global leader in internet services that empower individuals, communities, businesses, and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content, and communications to approximately 1.7 billion members around the world. The Rakuten Group has nearly 32,000 employees and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/

As the Research Intern at the Rakuten Institute of Technology (RIT) Singapore, you will apply state-of-the-art research techniques to arrive at novel solutions to business problems in the NLP domain focusing on machine translation and large language models.

The team is working on a variety of NLP research and development projects that empower the globalization of Rakuten with multilingual NLP techniques.

Responsibilities:

Research and development of cutting-edge NLP techniques, including but not limited to the following:

• Multilingual Translation Systems
• Evaluation of Large Language Models
• LLM Deployment and Efficiency
• Advanced NLP techniques (Mixture of Experts, Knowledge Distillation, Synthetic Data Generation etc.)

Qualifications:

• Master or PhD students from related areas, e.g., computer science, machine learning, mathematics, etc. PhD preferred.
• Good publication records in top-tier conferences, such as ACL, EMNLP, COLING, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.
• Good programming skills, familiar with deep learning models and major deep learning programming frameworks, especially PyTorch and Hugging Face.
• Self-driven, innovative, collaborative, good communication and presentation skills.

Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.