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!

As a Robotics Software Engineer, you will be at the forefront of designing advanced algorithms and systems to optimize the efficiency of our robotic fleet. Your work will be critical in ensuring seamless communication and operation within cutting-edge automation technologies.

Responsibilities:

• Design multi-agent pathfinding (MAPF) algorithms to prevent fleet deadlocks.
• Build low-latency communication protocols for Robot-to-Cloud and Robot-to-Robot data exchange.
• Develop cloud dashboards for fleet monitoring and teleoperation handoffs.

Required Skills:

• Expertise in distributed systems and IoT protocols (MQTT, WebRTC, DDS).
• Experience with fleet management or warehouse automation software.
• Strong background in operations research and graph algorithms.

ClickHouse is seeking an engineering manager to lead our team of software engineers based in China who own our partnership with Alibaba Cloud.

Key Responsibilities

• Build and lead a high-performing technical team in China, fostering a culture of technical excellence and customer obsession
• Support Alibaba Cloud & ClickHouse partnership with deep technical expertise, driving integration, optimization, and go-to-market strategies
• Lead enterprise customer POCs from architecture design to production deployment, translating business requirements into scalable technical solutions
• Design PB-scale real-time data warehouse architectures, leveraging ClickHouse's exceptional performance for mission-critical workloads
• Partner with global Sales, Product, and Engineering teams, representing customer needs and driving product innovation
• Represent ClickHouse at technical conferences, meetups, and community events in China

Required Qualifications

• Fluent English and Mandarin for seamless technical discussions with global teams and Chinese customers
• Outstanding customer-facing communication skills with the ability to build trusted relationships at all organizational levels
• Deep database expertise - internals, query optimization, distributed systems, OLAP technologies
• Strong architecture design capabilities for large-scale, mission-critical data platforms
• PB-scale real-time data warehouse hands-on experience building and operating production systems
• Cloud-Native proficiency - solid experience with cloud-native architecture and infrastructure, with hands-on knowledge of at least one major cloud service provider (AWS, GCP, Azure, Alibaba Cloud)
• Team leadership experience managing technical teams of 10+ engineers
• 8+ years in database/data warehouse/big data technologies
• High level of responsibility, ownership, and accountability - thrives in a high-velocity environment with significant autonomy
• Founder's mindset with a focus on impact, innovation, and delivering measurable results

Preferred Qualifications

• ClickHouse community contributor - active participation through code, documentation, or advocacy
• Experience with columnar databases (ClickHouse, Druid, Pinot) and real-time analytics systems
• Kubernetes expertise - practical experience deploying and managing stateful applications on K8s at scale
• Data engineering skills - strong background in ETL pipelines, data replication, CDC, and streaming platforms (Kafka, Flink, Spark)
• Technical writing/speaking experience - blogs, conference presentations, technical documentation
• Open-source contributions in the database or cloud-native ecosystem
• Exceptional problem-solving skills with proven experience debugging complex production issues