Senior Staff/Staff Machine Learning Engineer-LLM

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the sped we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Summary:

At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team’s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multi-modal models. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, agents, NLP, LLM, ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.

The Role/Responsibilities:

• Work on GenAI, self-learning systems to solve complex eCommerce scenarios.
• Develop statistical models for predictive and compound AI Models
• Train foundational models that can help with building learning systems.
• Define process and experiments for an E2E foundation model.
• Build E2E AI pipelines for storing/servicing foundational models.
• Mentor and guide team members on frameworks, methodologies related to data lakes, data normalization, dimension reduction, visualization, statistical models.
• Ensure Model training is security, compliance aware.
• Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company’s overall AI strategy.

What you will bring/ Requirements:

• Overall 10+ years of working in software engineering and AI/ML Engineering.
• 4+ years of demonstrated data science, experience in building large scale foundational models for eCommerce scenarios.
• Expertise in large language model fine-tuning and deployment.
• Deep understanding of AI/ML/Deep-learning and statistical model architecture.
• Strong statistical/mathematical background in defining metrics, learning functions and result analysis.
• Significant experience in SQL, Python, PySpark, Scala and R
• Proficiency in PyTorch/TensorFlow, Spark, BigQuery
• Experience in creating complex data visualization tools, frameworks and techniques.
• Experience in dimension reduction in big data.
• Proficient in cloud analytical stacks [ Lakes, warehouse, ETL pipelines]
• Experience with inference platforms in AWS, Azure and other open-source platforms.
• Are result-oriented, with a bias towards customer obsession, flexibility, and impact.
• Strong written and verbal communication and teamwork skills
• Passion for Large language models, NLP, and Machine Learning at scale

Education: B.S, M.S in Computer science or Mathematics, or related field

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.

Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://taou.cn/zlO8

[Applied in Coupang.Jobs] Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team

Senior Staff/Staff Machine Learning Engineer-LLM

Company Introduction

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we are collectively disrupting the multi-billion-dollar commerce industry from the ground up and establishing an unparalleled reputation for being leading and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the sped we have been at since our inception. We are all entrepreneurial surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Summary:

At Coupang, we invest in providing the best product experience for our customers. The AI and Knowledge Engineering team’s mission is to provide the best possible technical solution to achieve the optimal experience for our customers. We innovate and advance the space of Knowledge Graphs, agents, LLMs, AI, ML, NLP, and multi-modal models. We are looking for engineers who want to work on cutting edge technology, that is the intersection of Semantic knowledge bases, agents, NLP, LLM, ML and software engineering. Come join us to help create a world class team advancing the AI/NLP/ML/LLM/RL/Knowledge Graph technologies.

The Role/Responsibilities:

• Work on GenAI, self-learning systems to solve complex eCommerce scenarios.
• Develop statistical models for predictive and compound AI Models
• Train foundational models that can help with building learning systems.
• Define process and experiments for an E2E foundation model.
• Build E2E AI pipelines for storing/servicing foundational models.
• Mentor and guide team members on frameworks, methodologies related to data lakes, data normalization, dimension reduction, visualization, statistical models.
• Ensure Model training is security, compliance aware.
• Collaborate with cross-team members to understand the requirements ensuring the foundational models, knowledge captured aligns with the company’s overall AI strategy.

What you will bring/ Requirements:

• Overall 10+ years of working in software engineering and AI/ML Engineering.
• 4+ years of demonstrated data science, experience in building large scale foundational models for eCommerce scenarios.
• Expertise in large language model fine-tuning and deployment.
• Deep understanding of AI/ML/Deep-learning and statistical model architecture.
• Strong statistical/mathematical background in defining metrics, learning functions and result analysis.
• Significant experience in SQL, Python, PySpark, Scala and R
• Proficiency in PyTorch/TensorFlow, Spark, BigQuery
• Experience in creating complex data visualization tools, frameworks and techniques.
• Experience in dimension reduction in big data.
• Proficient in cloud analytical stacks [ Lakes, warehouse, ETL pipelines]
• Experience with inference platforms in AWS, Azure and other open-source platforms.
• Are result-oriented, with a bias towards customer obsession, flexibility, and impact.
• Strong written and verbal communication and teamwork skills
• Passion for Large language models, NLP, and Machine Learning at scale

Education: B.S, M.S in Computer science or Mathematics, or related field

Recruitment Process

Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

This job posting may be closed prior to the stated end date for application if all openings are filled.

Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice​

Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://taou.cn/zlO8

[Applied in Coupang.Jobs] Equal Opportunities for All

Coupang is an equal opportunity employer. Our unprecedented success could not be possible without the valuable inputs of our globally diverse team.

Scopely is looking for a Senior/Staff Server Engineer to join an unannounced title based in our Shanghai office (5 days in the office).

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

We are in the early stages of development on an ambitious mobile game in China, and we’re assembling a team of passionate game makers to craft unforgettable characters and immersive adventures that players will love.

What You Will Do 

We are looking for a Server Engineer to build the next generation of our games. You will work with a team of passionate engineers while developing core systems and features that power large-scale, real-time experiences for our game. You’ll work on complex technical challenges involving real-time interaction, large-scale systems, and a persistent shared world used by tens of millions of players.

What We’re Looking For 

• Experience in building, and maintaining scalable, production-grade distributed systems. Deep understanding of networked and distributed systems, cloud security best practices, and performance optimization. Familiarity with network protocols for real-time communication, such as gRPC and WebSocket.
• Programming Languages: Proficiency in one or more of Java, Go, C#, Python
• Familiar with Git, Bash and Gradle
• Professional proficiency in both Mandarin and English
• BS / MS in Computer Science or Software Engineering or equivalent

Bonus Points 

• You have experience shipping at least one online game or app
• Experience in managing IaaS environments and deploying on cloud platforms such as Alibaba Cloud (Alicloud), AWS, Azure, or GCP. Proficiency with Kubernetes cluster management, infrastructure as code tools like Terraform
• Experience using data processing frameworks and data warehouse
• Experience using AI tools to speed up the development lifecycle and improve efficiency
• Experience leading a team: task breakdown& scoping, code reviews, mentoring junior devs, prototyping, etc. 
• Excellent verbal English communication

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Job Profile

As a Data Engineer, you will be responsible for building our brand-new data warehouse in the China market, designing data models, and enhancing the company’s data analytics capabilities. You will leverage your exceptional SQL skills and business acumen to deliver clear, well-defined data.

You will work closely with business stakeholders, data analysts, and the global data engineering team. As a key member of On’s digital transformation project, you will play a vital role in driving the evolution of data-supported processes within the organization.

Your Team

The Data Enablement Team is responsible for building, maintaining, and evolving the company's internal data platforms, products, and processes. Our mission is to empower every On employee to make informed, data-driven decisions that impact business outcomes. This team is part of the broader Data & AI Department.

Your Mission

As On grows, so does our demand for data. You will play a crucial role in this journey, not only by helping build the data blueprint but also by optimizing existing and new data products.

Your core responsibilities include:

Building the Foundation: Establishing a brand-new cloud-based data warehouse, replicating and migrating EDI (Electronic Data Interchange) processes from the existing warehouse, and creating/improving comprehensive technical documentation.Pipeline Optimization: Ensuring all future ETL (Extract, Transform, Load) processes are built and optimized directly within the new cloud data warehouse.Global Collaboration: Actively communicating and collaborating with the Global Data Engineering team to ensure alignment in methodologies and technical tools, preparing the technical groundwork for future integration with the Global big data platform.Product Development: Partnering with data analysts and data scientists across the organization to further develop our data products.

Your Experience

Technical Proficiency: You are familiar with data warehousing, data modeling, and ELT concepts, and you are an expert in SQL.Programming Skills: You possess programming skills in Python or an equivalent language.Cloud Expertise: You have hands-on experience managing data infrastructure, APIs, data pipelines, and workflow orchestration in cloud environments (experience with Alibaba Cloud MaxCompute and Hologres is highly preferred).Software Engineering: You are familiar with software engineering concepts, including version control, testing, debugging, and technical problem-solving.Communication: You have excellent communication skills and are fluent in navigating cross-cultural and cross-timezone collaboration to ensure seamless alignment with global teams.Problem Solver: You enjoy translating complex business requirements into robust data solutions.Autonomy: You are comfortable multitasking and have the ability to independently manage the entire project lifecycle with minimal supervision.AI-Savvy: You are an adept user of AI tools to assist in coding, optimize workflows, and improve delivery efficiency, staying sharp on cutting-edge technologies.

About Us 

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.  

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.  

We have 2000+  employees across 36 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. 

About The Role  

Key Responsibilities 

As a Data Scientist Intern, your role will encompass: 

• Apply machine learning algorithm to solve business problem 
• Develop and industrialize AI model with cloud service  
• Conduct quantitative and qualitative analyses of clients’ data to generate actionable insight 
• Securing delivery on your projects 
• Communicating your work and achievements among the team 
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs 
• Ensuring that your solutions are bringing value to the client 
• Being a good team player, knowing your role and responsibility in the global ambition 

What we are looking for 

• Currently pursuing a BA/BS or MA/MS in machine learning, mathematics, computer science, or related fields ( statistics, business analytics, engineering, economics, or a related field) from an accredited college or university. 
• Experience (internship, school project, Junior Enterprise, etc.) in consulting and/or data ecosystem would be a plus. 
• Good understanding of the digital and data ecosystem and its technologies: machine learning, business analytics, data warehouse(lake), programmatic, DataViz and etc.  
• Having knowledge on cloud services (AWS, Azure, GCP, AliCloud) and Martech(CDP, DMP) would be a plus. 
• Intellectual curiosity, along with excellent problem-solving skill, including the ability to disaggregate issues, identify root causes, and recommend solutions 
• With a practical and analytical mindset, you will be passionate about the creation of bespoke solutions for our clients 
• Good Communication skills 
• Ideal candidates should be passionate about using business acumen along with big data and analytics to address real-world problems and drive significant change. 

SH office address : The Roof, Building D, 2nd Floor, No. 458 Madang Road, Huangpu Shanghai 

Our Belief 

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society. 

Our Mission 

We are on a mission to build the next generation of data leaders who:   

Fully capture the power of data & digital to deliver business value;

Bring understanding, trust & transparency of data into our society. 

Our Values 

• Collaboration : People of different background and expertise working closely together; 
• Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations; 
• Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data; 
• Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality. 

Our Unique Attributes 

• We bring great value to business and create a better society with the understanding, transparency and ethical use of data ; 
• We build the next generation of data leaders ; 
• We disrupt the market : 
• Data Native - Born with data and defining data ; 
• ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ;  
• One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
• End to End - Capabilities from Strategize to Build to Run. 

Visit our website at www.artefact.com or follow us on WeChat.