Your Location

This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.

The Community You Will Join:

Community Support (CS) has increasingly become a key driver of enabling Airbnb's core business. The Community Support Engineering team is responsible for the world-class technology, architecture, and solutions that power CS at Airbnb. The products and capabilities we build empower our guests and hosts, CS agents, and operations teams around the world. 

As part of the CS Product vision,  we are leveraging AI to transform how we deliver customer service - combining advanced ML/LLM capabilities with the expertise of our Support Ambassadors to create a seamless, high-quality support experience. 

The Difference You Will Make:

As an ML Manager within Community Support Product Engineering in China, you will lead a team of machine learning engineers to research, design, and optimize AI models and services that scale AI-powered products and measurably improve the end-to-end Community Support experience for guests, hosts, and support ambassadors.

What You’ll Do: 

Hire, mentor and guide a dynamic team of highly skilled machine learning engineers, fostering their technical growth and professional development.Proactively take initiatives to drive for outcomes over the scope of the team.Build relationships and drive alignment with stakeholders within Community Support and across external teams.Communicate difficult or complex concepts and decisions clearly and effectively with multiple stakeholders across various functions.Provides critical guidance and input in prioritization over multiple major projects.

• Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives.
• Uphold Technical Standards: Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence.

Your Expertise:

• Expertise in ML & AI: Deep knowledge of various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products.
• Leadership in ML Development: Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences.
• Management and Mentorship: Strong leadership skills with a track record of nurturing an innovative and collaborative team environment.
• Communication Excellence: Exceptional verbal and written communication abilities, with a keen eye for detail.
• Collaborative Spirit: Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally.
• Problem Solving: Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches.
• Educational Background: PhD, or Master's degree in Computer Science,  Mathematics, Statistics, or related technical field.
• Industry Experience: 9+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs. 
• Leadership Experience: 2+ years managing machine learning teams that deliver large impact.
• Technical Proficiency: Expert knowledge of machine learning algorithms and techniques.
• Continuous Learner: Ability to absorb new concepts quickly and integrate them effectively into business processes.

Our Commitment To Inclusion & Belonging

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We are hiring for Machine Learning Engineering across multiple levels.

Your Location:

This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.

The Community You Will Join:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. 

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. 

The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make:

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. 

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. 

Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day: 

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems

• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products

• Learn and share the latest AI/ML technologies with the team across regions( China and the US). 

Your Expertise:

• PhD/Master’s degree, preferably in CS, or equivalent experience
• 5-12 years of ML engineering experience, with ownership responsibility over large-scale software systems.  
• Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
• Experience with LLM driven chatbot and Agentic AI products would be a big plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
• Fluency in both English and Mandarin is essential.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Your Location:

This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies.

The Community You Will Join:

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. 

The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. 

The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.

The Difference You Will Make:

We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and and Host on Airbnb. 

You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. 

Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.

A Typical Day: 

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems

• Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products

• Learn and share the latest AI/ML technologies with the team across regions( China and the US). 

Your Expertise:

• PhD/Master’s degree, preferably in CS, or equivalent experience
• 2-4 years of ML engineering experience, with ownership responsibility over large-scale software systems. 
• Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
• Experience with LLM driven chatbot and Agentic AI products would be a big plus
• Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
• Fluency in both English and Mandarin is essential.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Capco Hong Kong

Capco is a global technology and management consultancy specializing in driving digital transformation in the financial services and insurance industries. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the globe. We have the people, the vision, and the passion.

We are growing through a significant growth journey, now is a very good time to join us as we expand geographically, increase headcount and disrupt the consulting market across APAC with entrepreneurial and agile thinking.

We are:

• Experts in banking and payments, capital markets and wealth and asset management
• Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there
• Focus on maintaining our nimble, agile and entrepreneurial culture

ROLE RESPONSIBILITIES

We are currently seeking Senior Data Consultants to support and drive the growth of our Data practice, particularly in our Data Analysis / Data Modelling stream. This is an exciting opportunity to be a leader, in a growing team of data practitioners, where you will be initiating and implementing cutting-edge data & analytics programmes for top-tier Financial Services clients.

This role sits at the intersection of ontology development, data modeling, AI engineering, and banking domain logic, enabling the creation of knowledge graphs, decision structures, and rule systems that support an enterprise‑wide AI pipeline.

KEY RESPONSIBILITIES 

SKILLS & EXPERTISE

• 6+ years of data ontology modeling experience within Financial Services
• Hands‑on experience with semantic technologies such as TURTLE (TTL), RDF, OWL, SKOS, and SPARQL.
• Strong conceptual data and ontology modeling skills, including hierarchies, constraints, vocabularies, and rule sets.
• Experience designing and working with knowledge graphs and graph platforms (e.g. Neo4j, GraphDB, Stardog, AWS Neptune).
• Proficiency in YAML for structured rule definition, configuration, and schema modeling.
• Familiarity with LLM‑enabled systems, agentic AI workflows, and retrieval‑augmented generation (RAG); experience with decision modeling, rules engines, Python, or AI‑driven automation is a strong advantage.

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

Key Skills & Requirements:

• Core Technical
• Strong Python proficiency — you'll refactor research code into robust, tested production pipelines daily
• Awareness of performance and optimisation — profiling, memory management, and computational efficiency when scaling research code across large universes
• Solid software engineering practices: version control, unit testing, code review, CI/CD, and refactoring — you care about code quality, not just code that works
• Comfortable on Linux platforms with working knowledge of shell scripting
• Experience with data analysis libraries (NumPy, SciPy, pandas) and handling large datasets
• Familiarity with databases and data infrastructure (SQL, data pipelines, or tools like ArcticDB)
• Exposure to ML/DL frameworks (PyTorch, TensorFlow, scikit-learn) or LLM-related tooling
• Research & Domain
• Relevant mathematical knowledge — statistics, optimisation, or factor modeling — enough to understand the research you're productionising
• A keen interest in financial markets and how quantitative strategies are built and deployed
• Nice-to-Haves
• Prior internship in quantitative development, systematic investing, or front-office technology
• Education
• Currently enrolled at a top-tier university in Computer Science, Software Engineering, Mathematics, Physics, or a related field with strong computational content

Key Skills & Experience:

• Core Technical
• Strong Python proficiency — you'll use it daily for signal research, backtesting, data processing, and prototyping
• Solid foundation in quantitative methods: statistics, probability, optimization, and factor modeling
• Hands-on experience with ML/DL (PyTorch, TensorFlow, or similar) — not just coursework, but building and validating models end-to-end
• Practical exposure to LLMs and AI agents — whether prompt engineering, fine-tuning, or building LLM-powered research workflows
• Research & Domain
• Exposure to factor-based strategies, portfolio construction, or systematic alpha research — able to independently design, test, and critically evaluate signals with rigour
• Comfortable working with new or unstructured datasets — cleaning, exploring, and extracting value from imperfect data
• Ability to assist PMs with portfolio analytics — analysing return attribution, risk decomposition, and testing portfolio construction parameters
• Nice-to-Haves
• Prior internship in quantitative research or systematic investing
• Familiarity with China equity markets (A-shares, market structure)
• Versatility to move between research and engineering — equally comfortable exploring a novel idea and shipping high-quality code
• Education
• Currently enrolled at a top-tier university in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field

At Similarweb, we build some of the most comprehensive and unique views of how the digital world actually works.

The Data for AI team in China is a specialized, client-facing group working directly with China’s leading AI organizations. The team’s mission is to help these companies unlock the full value of Similarweb’s data for their models and AI assistants, by translating our data assets into clear, measurable impact for real-world AI use cases.

The role involves close, on-the-ground collaboration with customer AI, data, and business teams, explaining the value of our data, shaping data and model-driven solutions during the deal process, and supporting successful implementation post-deal. The team operates in a high-ownership environment and plays a direct role in driving both strategic partnerships and long-term customer value realization in advanced AI products.

Why is this role so important at Similarweb?

Similarweb is a data-first company, and our AI and machine learning capabilities are core to our growth. In China, the Data for AI team works directly with the country’s most advanced AI companies, enabling them to use Similarweb’s data to strengthen their models and AI products in competitive, real-world environments.

This role sits at the heart of those partnerships. You will represent the data and model perspective in strategic customer engagements, clearly articulating the value of our large-scale behavioral and digital datasets. You will shape data-driven solutions during the deal cycle, align our capabilities with customer model objectives, and play a direct role in winning and expanding AI partnerships.

Beyond the deal, you will ensure value realization. As a client-facing data scientist, you will translate complex datasets into concrete impact, guide technical integration discussions, support model evaluation efforts, and help customers achieve measurable improvements in performance. Your work will directly connect data, models, revenue, and long-term strategic relationships in one of the most important AI markets globally.

So, what will you be doing all day?

Your daily responsibilities may include:

• Working directly with leading AI companies in China, both on site and remotely, in a fast-paced and high-impact environment
• Running technical workshops with customer AI and data teams to deeply understand their model challenges, data gaps, and performance bottlenecks
• Translating customer pains into clear data-driven solutions, shaping use cases that demonstrate measurable model and business impact
• Supporting the deal process from a data and model perspective, ensuring strong technical alignment and clear value articulation
• Leading post-deal implementation efforts, guiding customers through integration, validation, and benchmarking to ensure successful value realization
• Driving measurable improvements by helping customers effectively apply Similarweb’s data within their model development and evaluation workflows

This is the perfect job for someone who:

• Holds a B.Sc. in Computer Science/Mathematics/Physics or any other relevant field - Required
• Minimum 3 years of experience with statistical and machine learning tools - Python, R, etc.
• Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models in both Chinese and English
• Has previous experience working with machine learning/ image processing/NLP/LLM or similar algorithms
• Familiarity with SQL 
• Experience with Big Data tools and cloud infrastructure; PySpark, AWS 
• Hands on background in LLMs &  AI Agents

*All Similarweb offices work in a hybrid model, so you can enjoy the flexibility of working from home with the benefits of building face to face connections with fellow Similarwebbers.*

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

#LI-Hybrid

At Similarweb, we build some of the most comprehensive and unique views of how the digital world actually works.

The Data for AI team in China is a specialized, client-facing group working directly with China’s leading AI organizations. The team’s mission is to help these companies unlock the full value of Similarweb’s data for their models and AI assistants, by translating our data assets into clear, measurable impact for real-world AI use cases.

The role involves close, on-the-ground collaboration with customer AI, data, and business teams, explaining the value of our data, shaping data and model-driven solutions during the deal process, and supporting successful implementation post-deal. The team operates in a high-ownership environment and plays a direct role in driving both strategic partnerships and long-term customer value realization in advanced AI products.

Why is this role so important at Similarweb?

Similarweb is a data-first company, and our AI and machine learning capabilities are core to our growth. In China, the Data for AI team works directly with the country’s most advanced AI companies, enabling them to use Similarweb’s data to strengthen their models and AI products in competitive, real-world environments.

This role sits at the heart of those partnerships. You will represent the data and model perspective in strategic customer engagements, clearly articulating the value of our large-scale behavioral and digital datasets. You will shape data-driven solutions during the deal cycle, align our capabilities with customer model objectives, and play a direct role in winning and expanding AI partnerships.

Beyond the deal, you will ensure value realization. As a client-facing data scientist, you will translate complex datasets into concrete impact, guide technical integration discussions, support model evaluation efforts, and help customers achieve measurable improvements in performance. Your work will directly connect data, models, revenue, and long-term strategic relationships in one of the most important AI markets globally.

So, what will you be doing all day?

Your daily responsibilities may include:

• Working directly with leading AI companies in China, both on site and remotely, in a fast-paced and high-impact environment
• Running technical workshops with customer AI and data teams to deeply understand their model challenges, data gaps, and performance bottlenecks
• Translating customer pains into clear data-driven solutions, shaping use cases that demonstrate measurable model and business impact
• Supporting the deal process from a data and model perspective, ensuring strong technical alignment and clear value articulation
• Leading post-deal implementation efforts, guiding customers through integration, validation, and benchmarking to ensure successful value realization
• Driving measurable improvements by helping customers effectively apply Similarweb’s data within their model development and evaluation workflows

This is the perfect job for someone who:

• Holds a B.Sc. in Computer Science/Mathematics/Physics or any other relevant field - Required
• Minimum 3 years of experience with statistical and machine learning tools - Python, R, etc.
• Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models in both Chinese and English
• Has previous experience working with machine learning/ image processing/NLP/LLM or similar algorithms
• Familiarity with SQL 
• Experience with Big Data tools and cloud infrastructure; PySpark, AWS 
• Hands on background in LLMs &  AI Agents

*All Similarweb offices work in a hybrid model, so you can enjoy the flexibility of working from home with the benefits of building face to face connections with fellow Similarwebbers.*

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

#LI-Hybrid

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.

We are seeking a talented Multimodal AI Systems Architect to develop and optimize AI systems that seamlessly integrate vision and audio models. This role focuses on enhancing our voice-to-voice interactions and multimodal retrieval capabilities, ensuring our systems are efficient and innovative.

Responsibilities:

• Integrate vision encoders and audio-native models into core agent reasoning loops.
• Optimize streaming latency for voice-to-voice AI interactions.
• Architect multimodal RAG systems capable of retrieving insights from videos and PDFs.

Qualifications:

• Experience with Whisper, CLIP, and multimodal LLM integration.
• Knowledge of streaming architectures and WebRTC.
• Expertise in cross-modal alignment.

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

• Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
• Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
• Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

• Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
• Experience managing SLURM or Kubernetes-based GPU clusters.
• Strong systems engineering background (C++, CUDA, Python).

ABOUT US

Capco is a global technology and management consultancy specializing in driving digital transformation in the financial services and insurance industries. Capco is committed to providing clients with practical solutions. We offer a globally integrated service with offices in leading financial centers across the globe. We have the people, the vision, and the passion.

We are growing through a significant growth journey, now is a very good time to join us as we expand geographically, increase headcount and disrupt the consulting market across APAC with entrepreneurial and agile thinking.

We are:

• Experts in banking and payments, capital markets and wealth and asset management
• Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there
• Focus on maintaining our nimble, agile and entrepreneurial culture

ROLE RESPONSIBILITIES

We are currently seeking a Senior Consultant to support and drive the growth of our Data practice, particularly in our Data Analysis / Data Modelling / Data scientist stream. This is an exciting opportunity to be a leader, in a growing team of data practitioners, where you will be initiating and implementing cutting-edge data & analytics programmes for top-tier Financial Services clients.

As a Senior Data Consultant, you will be involved in developing the HK Data Practice capabilities and the broader Global Data Practice to supporting topics such as Cloud, Artificial Intelligence and Machine Learning.

KEY RESPONSIBILITIES 

SKILLS & EXPERTISE

• Minimum 3+ years experience using NLP, large language models, and machine learning to solve business problems (such as search, extracting information from documents, or automating processes).
• Experience within banking or financial services will be preferred but not a must. 
• Hands‑on experience designing and building LLM solutions, including retrieval‑augmented generation (RAG), agent‑based workflows, and systems that use tools and multi‑step logic.
• Experience putting AI / LLM models into production and supporting them, with an understanding of scaling, controls, and operational risks.
• Strong Python coding skills, with experience writing reliable, production‑ready code using modern ML and LLM frameworks.
• Good understanding of how to work with LLMs, including prompt design, fine‑tuning models, adapting them to specific domains, and knowing their strengths and limitations.
• Strong communication and consulting skills, with the ability to explain complex technical ideas clearly to both business and technical stakeholders.

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.

Purpose of Position

• The Senior Product Manager, Supply Chain Management will be responsible for driving the product strategy, roadmap, and execution of supply chain technology solutions that support planning, inventory, fulfillment, logistics, and operational excellence across the organization. The incumbent will work closely with business, operations, engineering, data, and external partners to deliver scalable and impactful product capabilities that improve efficiency, visibility, and decision-making.
• The incumbent is expected to bring strong domain knowledge in supply chain management together with practical experience in AI, data science, and advanced analytics to identify high-value opportunities, optimize workflows, and introduce innovative product capabilities that enhance forecasting, exception management, productivity, and business performance.

Job Description

• Define and drive the product vision, roadmap, and backlog for supply chain management products and capabilities, covering areas such as demand planning, inventory management, replenishment, order orchestration, fulfillment, warehousing, logistics, and supply chain visibility.
• Partner closely with business stakeholders, supply chain operations, planning, sourcing, logistics, customer service, and technology teams to gather requirements, define priorities, and translate business needs into scalable product solutions and technical specifications.
• Lead end-to-end product lifecycle management from discovery and business case development through solution design, delivery, testing, rollout, adoption, and continuous improvement.
• Identify pain points and improvement opportunities across supply chain workflows, and develop product enhancements that improve service level, inventory health, speed, cost efficiency, operational control, and customer experience.
• Drive AI-enabled product initiatives in the SCM domain, including demand forecasting, replenishment optimization, allocation logic, anomaly detection, exception management, intelligent recommendations, and LLM-based productivity or decision-support use cases.
• Work closely with engineering, architecture, data, and analytics teams to ensure SCM products and AI capabilities are scalable, reliable, secure, and well integrated with enterprise platforms such as ERP, OMS, WMS, TMS, and reporting solutions.
• Collaborate with data science and analytics teams to define use cases, evaluation methodologies, performance measures, and measurable business outcomes for AI and algorithm-driven product capabilities.
• Develop strong product requirements, user stories, process flows, KPI definitions, and success metrics to ensure clarity of scope, strong alignment, and measurable delivery outcomes.
• Prioritize product backlog based on business impact, operational urgency, feasibility, technical dependencies, and resource availability, while balancing short-term fixes with long-term platform value.
• Monitor product performance through data, operational metrics, and user feedback, and continuously refine solutions to improve adoption, process efficiency, and business value.
• Support change management and user adoption by working with stakeholders on rollout planning, training, communications, process redesign, and operating model alignment.
• Contribute to building a strong product culture through structured thinking, collaboration, user-centric design, and data-driven decision-making.

Requirements

• Strong product management experience with proven track record in supply chain management, operations technology, or enterprise platforms supporting supply chain workflows.
• Solid understanding of supply chain processes including demand planning, inventory management, order fulfillment, warehousing, logistics, and exception handling.
• Experience in managing digital products or platforms in SCM-related domains such as ERP, OMS, WMS, TMS, planning systems, or related operational systems.
• Practical experience with AI, data science, machine learning, or algorithm-driven solutions, especially in business use cases such as forecasting, optimization, recommendation, anomaly detection, or intelligent workflow automation.
• Good understanding of how AI and LLM technologies can be applied to supply chain use cases, including decision support, knowledge access, workflow productivity, and operational insights.
• Strong analytical and problem-solving skills with the ability to translate complex operational challenges into structured product solutions.
• Experience in defining product roadmap, writing business requirements, managing backlog, and working closely with engineering and data teams in agile delivery environments.
• Strong stakeholder management with the ability to work effectively across operations, planning, logistics, sourcing, customer service, technology, and leadership teams.
• Able to balance strategic thinking with hands-on execution and detail management.
• Strong communication and presentation skills with the ability to explain product concepts and technical ideas clearly to both technical and non-technical stakeholders.
• Known for promoting structured product thinking, user-centric design, and data-driven decision-making.
• At least 6-8 years of relevant working experience in product management, supply chain technology, or related digital transformation roles.
• Experience in eCommerce, retail, omnichannel, or fast-paced consumer business environments is highly preferred.
• Experience working with cross-functional teams in multicultural environments is a plus.
• Bachelor’s degree in business, Supply Chain, Engineering, Computer Science, Data Science, or related disciplines; advanced degree is a plus.
• Proficient in spoken and written Chinese and English.

We are looking for a AI Engineer to join a Shipping SaaS Platform. This isn’t just a "prompt engineering" role—you will work at the intersection of deep mathematics and production-grade engineering to build, optimize, and scale LLM-powered systems that solve tangible problems. Reporting to manager based in the US.

What You’ll Do

• Design and ship end-to-end AI solutions powered by the latest Large Language Models.

• Use your background in mathematics and optimization to make our models faster, smarter, and more efficient.

•  Build robust pipelines for fine-tuning and evaluating models at scale.

• Rapidly prototype via prompt engineering and tuning to find the best path forward.

• Keep us at the cutting edge by integrating the latest NLP and LLM breakthroughs.

Your Technical Toolkit

• Fluency in Python and deep experience with ML frameworks like PyTorch or TensorFlow.

• A solid grasp of algorithms, data structures, and mathematical optimization (convex, gradient-based, etc.).

• Experience with vector databases, RAG, embeddings, and cloud-based API deployments.

This is a Next Generation PM Role. AI has fundamentally changed what it means to build software. The best product people no longer just write specs and hand them off—they prototype, ship, and iterate with AI-powered tools at a pace that was unimaginable two years ago. We're looking for someone who has already crossed that line: a product leader who builds, not just plans.

About Conviva Conviva is the intelligence layer for digital businesses, turning every consumer interaction into outcome-based intelligence—linking engagement patterns across AI agents, apps, websites, and streaming video to real results such as purchases, bookings, and resolved support requests. Powered by its patented Time-State Technology®, the Conviva® Operational Data Platform delivers real-time insights and automation that help leading enterprises grow, improve satisfaction, and build lasting trust.

The Opportunity AI agents are quickly becoming a new "digital surface" alongside mobile and web. But teams still struggle to answer basic questions: Are my agents working and achieving outcomes? What drives success? How do we optimize behavior, reliability, and user outcomes? How do I launch an agent and have it continuously adapting to the ever-changing world?

Conviva has an industry-leading answer to these questions. This role is a chance to define and lead a brand-new category: analytics and optimization for AI agent experiences, backed by strong platform foundations, real customer problems, and a track record of disruptive innovation.

You won't just manage this product—you'll build it. You'll use AI coding tools to prototype features, validate ideas with working software, and move from insight to artifact faster than any traditional product process allows. You'll work at the intersection of product strategy and hands-on creation, partnering with engineering, design, and go-to-market to ship quickly, learn constantly, and set the direction for where agent analytics goes next.

Why "Product Builder" and Not "Product Manager" The rise of AI-assisted development has created a new kind of product professional—one who can go from customer insight to working prototype in hours, not weeks. We call this role a Product Builder because:

• Build to think: Instead of writing a 20-page spec, you spin up a working prototype to test your hypothesis. Your artifacts are software, not slide decks.
• AI-native workflow: You use AI coding tools as a force multiplier—not to replace engineers, but to close the gap between "idea" and "something customers can react to."
• End-to-end ownership: You own the product from strategy through execution. You don't toss requirements over the wall; you're in the code, in the data, and in front of the customer.
• Still a product leader: This is a PM-first role with builder superpowers. You lead product strategy, customer discovery, and prioritization—and you also ship.

What Success Looks Like

Product Vision & Strategy

• Own product outcomes: defining vision, strategy, roadmap, and success metrics.
• Discover and define the category: talk to customers weekly, map workflows, validate problems, and translate insights into sharp product bets.
• Turn ambiguous, fast-moving market signals into clear product direction with strong conviction.

Build & Ship

• Use AI development tools (Cursor, Claude Code, Windsurf, Replit, v0, etc.) to rapidly prototype concepts, validate UX hypotheses, and create working demos that accelerate team alignment and customer feedback.
• Partner deeply with engineering, design, and data/ML to ship high-quality product experiences from concept to launch to iteration.
• Create internal tools, dashboards, and proof-of-concept applications that solve immediate team or customer needs.

Execution & Leadership

• Drive execution: prioritize ruthlessly, unblock teams, manage tradeoffs, and ensure timely delivery.
• Bridge the gap between product thinking and technical implementation—you should be equally comfortable in a customer interview and reviewing a system architecture.
• Contribute to a culture where building is the default mode of exploration, not just analysis and documentation.

Who You Are

Product DNA

• 5–10+ years in product management, with meaningful experience in analytics, data platforms, developer tools, or AI/ML products.
• Energized by 0→1 ambiguity and can turn fuzzy problems into crisp product direction.
• Customer-obsessed but practical—deep empathy plus strong prioritization.
• Communicate clearly in writing and in live discussions. Can zoom out (strategy) and zoom in (details) without getting stuck in either.
• Build alignment fast and keep teams moving.

Builder DNA

• Actively use AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot, Replit, v0) to build prototypes, internal tools, or production-adjacent artifacts. Show us what you've built.
• Comfortable reading and modifying code (Python, JavaScript/TypeScript, SQL, or similar). You don't need to be a senior engineer—but you can't be code-averse.
• Engineering background, CS degree, or equivalent hands-on technical experience is strongly preferred.
• Experience with or strong interest in: LLM application development, agentic systems, RAG architectures, prompt engineering, or AI evaluation frameworks.
• Have shipped something you personally built (side project, internal tool, prototype, open-source contribution)—not just managed the backlog for.

Bonus Points

• Experience in digital experience analytics, observability, or APM.
• Familiarity with conversation analytics, agent evaluation, or LLM-ops tooling.
• Published writing, talks, or open-source work demonstrating thought leadership at the intersection of product and AI.
• Experience building with AI agent frameworks (LangChain, CrewAI, AutoGen, etc.).

What We Offer

• A front-row seat to a category being created in real time—agent analytics is where web analytics was in 2005.
• A team that values builders: we don't just talk about AI, we use it every day to move faster.
• A hybrid role where you shape both the "what" and the "how"—strategy meets craft.
• Competitive compensation, equity, and benefits.

If you've ever thought "I wish I could just build this instead of writing another PRD"—this role is for you.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. 

Our unique data and solutions empower over 6,000 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.

We’re looking for a Strategic Sales Manager (APJ) to expand Similarweb’s footprint by deepening and growing some of our most valuable global accounts. This role reports directly to our Vice President, Strategic Sales & Account Management who is based out of our New York office. 

Why this role matters

Similarweb’s digital intelligence platform powers thousands of organizations worldwide — and we’re still only scratching the surface of our total addressable market. As a Strategic Sales Manager, you’ll own the full sales cycle and nurture high-stakes relationships across a portfolio of Fortune 500 and other top-tier enterprises.

With a market-leading product, strong brand momentum, and a highly supportive team, you’ll be positioned to consistently exceed quota and make a measurable impact on company revenue.

What You’ll Be Doing

• Build and execute a long-term vision for strategic pipeline generation, with a clear plan to drive sustained net-new growth
• Consistently deliver against revenue targets, contributing to meaningful year-over-year growth across your territory
• Develop and operationalize account strategies that generate a qualified pipeline, accelerate deal velocity, and produce predictable, repeatable bookings
• Identify and engage senior decision-makers within target accounts, expanding your network across director, VP, and C-suite stakeholders
• Lead the full sales cycle—from early discovery and tailored value conversations to complex negotiations and final close
• Leverage Similarweb’s partner ecosystem to uncover new opportunities, strengthen your position in active deals, and expand into untapped accounts
• Collaborate cross-functionally with SDRs, Solutions Consultants, Customer Success, and Partner teams to drive alignment and maximize impact
• Champion a value-based sales approach, bringing a strong, insight-driven point of view to every customer interaction
• Travel as needed to cultivate relationships, advance opportunities, and deepen engagement with key prospects

What You’ll Bring

• 10+ years of success selling sophisticated, enterprise SaaS solutions into large, complex organizations
• Advantageous to have experience with Large Language Models (LLM)
• Fluency in English and Mandarin (for prospects based in Greater China)
• Demonstrated ability to create demand and influence C-level leaders, articulating strategic value with clarity and confidence
• Expertise in navigating multi-threaded, complex sales cycles with diverse technical and business stakeholders
• Proven experience selling to and building partnerships within the C-suite, establishing trust and executive alignment
• Strong background in selling in partnership with GSIs, channel partners, and broader partner ecosystems
• Exceptional communication and presentation skills, with the ability to tailor messaging to any level of audience
• A balance of self-drive and humility, thriving in collaborative environments while taking ownership of outcomes
• Familiarity with structured sales methodologies such as MEDDICC, Challenger, or Sandler 

About the Strategic Sales team

The talented sales people in our Strategic Sales Division get to have a direct impact on the business strategy of some of the biggest brands in the world.

This division is part of our rapidly growing GTM organization at Similarweb, where there are an unlimited number of growth opportunities as we continue to expand into new markets, verticals and territories.

But don’t take our word for it. Watch this short video to hear from our sales managers themselves! https://www.youtube.com/watch?v=12HZrLanowA

Why you’ll love being a Similarwebber:

You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You’ll find a home for your big ideas:  We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. 

We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here.

Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

#LI-Remote