The Trade Desk is a global technology company with a mission to create a better, more open Internet for everyone through principled, intelligent advertising.

Handling over 1 Trillion queries per day, our team works with some of the most exciting stacks to keep up with our unprecedented scale. Whether it’s spark clusters, databricks, machine learning, or anything else, we choose the right technology to handle our difficult problems. Our team works together to solve these and other difficult problems. We are constantly learning, building, and working together.

Do you have a passion for solving hard problems at scale? Are you eager to join a team of like-minded, talented, passionate engineers who are as excited by our challenges as you are?

ABOUT THE ROLE:

Our Senior Software Engineers take end-to-end ownership of designing, building, and delivering data products for our clients. You will actively participate in all aspects of this process.

You will tackle petabyte-scale data challenges, large-scale distributed systems coordinating thousands of servers in both cloud and physical data centers worldwide, as well as machine learning and advanced technologies, to name just a few.

You will work on a variety of tasks, including data processing pipelines, data processing automation, model training pipelines, and model serving.

You will collaborate closely with data scientists and business teams to bring exceptional solutions to our customers.

WHO WE ARE LOOKING FOR:

You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful data engineering projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing.

You understand engineering fundamentals and are a creative thinker. At our scale, many off-the-shelf techniques and existing technologies (open source and enterprise) simply don't work. You are able to work from first principles to evaluate solutions and adapt them to a unique environment. You are not bound by "the way things have always been done". We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked.

You have experience in data engineering. You've developed with a variety of platforms and technologies, such as Spark, .NET Core, Java, Scala, SQL Server, Docker, Kubernetes, AWS, Azure, etc..

You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world's largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.

You work with confidence and without ego. Our engineers have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates.

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

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 thousands of 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 seeking a Sales Manager, Mid-Market for our Greater China team, who will be focusing on the growth of Similarweb's market share by cultivating our Mid-market accounts.

Why is this role so important at Similarweb?

Similarweb's digital intelligence solutions serve thousands of customers across many different industries and use cases worldwide, and we haven't even scraped the barrel of our total addressable market.

 As a Sales Manager, you will control the entire sales cycle and develop critical relationships with our Mid-market accounts. 

With customers who love the product, strong brand recognition, and a supportive team behind you, you'll be set up for success to meet your sales quotas.

So, what will you be doing all day?

Your role as part of the Sales Team means your daily responsibilities may include:

• Meeting quarterly sales quotas by generating revenue from outbound MMS/Enterprise prospects in your target vertical sector
• Drive the new sales process through the full sales cycle including prospecting, qualifying, discovery, positioning & demonstration, negotiating and closing business.  
• Maintaining accurate forecasts and managing sales activities in Salesforce
• Driving a sale forward by engaging the prospect at the director/ C-level executive level 
• Partnering with Marketing, Sales Development, Solution Engineering, Contracting, and Implementation to spark outbound interest and navigate the sales process
• Partner with SDR team to penetrate key accounts, perform discovery to understand and qualify prospect’s pain
• Provide value-based/consultative selling of SimilarWeb solutions, build proposals and negotiate pricing and terms
• Leveraging our robust sales tech stack to ensure accurate CRM reporting and increase overall productivity using tools such as Salesforce, SalesLoft, ZoomInfo, Chorus and, of course, Similarweb

This is the perfect job for someone who:

• Minimum of 5 years of experience in a quota carrying new business commercial role, with at least 2 years consistency in previous role(s). Greater China MMS/Enterprise sales experience required
• Native language proficiency in Mandarin - required
• Professional level fluency in Cantonese - benefit 
• Background in SaaS, data, market research or analytics sales 
• Track record of quota achievement in a fast paced environment; has won awards/club trips as a part of top performance. 
• Has had success self-sourcing meetings in a startup environment
• Demonstrates learnings/growth from a bad quarter or lost deal
• Worked with similar sized accounts/territory, with similar deal sizes and sales cycles, and carried a similar quota
• Has built an established network of relevant contacts.
• Can confidently present in Chinese and English in front of important clients and stakeholders 
• Is highly collaborative and uses a direct and honest approach to deliver customer success
• Has a clear understanding of current digital marketing trends, including SEO, content marketing, PPC, social and display advertising

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. 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.

We are hiring Data Site Reliability Engineers (Data SREs) to join our Global Data Engineering organization. This is an operations-focused role, responsible for ensuring the reliability, correctness, and availability of Optiver’s most critical data pipelines and platforms, many of which directly support trading and research workflows. You will be part of a globally distributed team, operating and monitoring data systems across regions.

In practice, this role combines deep technical ownership with operational responsibility. Data SREs work closely with data engineers, platform teams, and trading-facing stakeholders to ensure production data systems meet strict reliability, freshness, and correctness expectations. Beyond keeping systems running, they help evolve how we operate data platforms at scale by improving automation, observability, and operational standards across the firm. The systems supported by Data SREs include large-scale batch and streaming data pipelines, data quality and freshness monitoring, and globally operated platforms supported by follow-the-sun operational models. These systems are often on the critical path for trading and research, where data delays or inaccuracies can have immediate business impact.

What you'll do:

• Configure, launch, and maintain robust data pipelines (ETL/ELT) for ingesting and transforming datasets critical to research and trading
• Own the end-to-end reliability of critical production data pipelines, from ingestion through downstream consumption
• Ensure data quality and consistency through validation, monitoring, and robust engineering practices
• Act as the first point of contact for data incidents, investigating failures, data quality issues, and pipeline regressions, and driving them through to resolution
• Participate in incident response, root cause analysis, and post-incident reviews, with a focus on preventing recurrence
• Manage daily releases, backfills, and ad-hoc data runs, with a strong focus on safety, traceability, and environment segregation
• Design and improve monitoring, alerting, data quality checks, and operational runbooks, ensuring issues are detected early and alerts are actionable
• Build automation and tooling to reduce manual operational work and enable the platform to scale safely
• Partner closely with data engineering, platform, and trading-facing teams to ensure data systems are reliable, well-understood, and fit for purpose

Who you are:

• Experience operating or supporting production data systems, such as data pipelines, ingestion frameworks, or analytical platforms
• Strong proficiency in Python, with experience using libraries like Pandas, Arrow, and Spark
• Solid understanding of data modeling, normalization, and API development in support of large-scale analytical or trading systems
• Experience working with lakehouse architectures (e.g., Delta Lake, Databricks, AWS) to manage large-scale, high-quality analytical datasets is preferred
• An operations mindset with a strong sense of ownership, reliability, and continuous improvement
• Ability to operate with a high degree of autonomy, making sound engineering and operational decisions for production systems
• Strong communication skills and the ability to work effectively across teams and time zones
• Experience with external data ingestion is a plus
• Exposure to PCAP-based data workflows or market data capture pipelines is a plus
• Willingness to contribute to setting best practices and mentoring engineers on operational excellence and production reliability

What you'll get:

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle some of the most complex problems in the financial markets.

In return for your expertise, you will have access to a range of Optiver perks, including:

• A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool, fostering a truly collaborative environment
• The chance to work alongside diverse and intelligent peers in a rewarding environment
• Training, mentorship and personal development opportunities
• Daily breakfast, lunch and snacks
• Gym membership, sports and leisure activities, plus weekly in-house chair massages
• Regular social events, clubs and Friday afternoon drinks

Diversity statement

Optiver is committed to diversity and inclusion. We encourage applications from candidates of all backgrounds, and welcome requests for reasonable adjustments during the process.

Privacy disclaimer

Optiver 重视个人信息的保护。请您在提供个人信息给我们之前，认真阅读Optiver China Privacy Notice, 了解我们如何收集及处理您的个人信息。

Personal information protection is of utmost importance to Optiver. Before you provide any personal information to us, we strongly urge you to read our Privacy Policy to acknowledge how we collect and process your personal information.

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.

WHO WE ARE LOOKING FOR:

At The Trade Desk, the Data Science team is responsible for transforming our hundreds of terabytes of Real-Time Bidding (RTB) advertising auction data into actionable intelligence, using advanced modelling and optimization algorithms. Our mission is to develop new and powerful means of growing the value of our client’s campaigns across millions of web-based publishers. Our team believes in innovation that contributes to our product. In this role, you will be a key member in the development of entirely new data products and the improvement of existing ones, all while using world-class machine learning. You will interact primarily with our product, trading, and engineering teams to oversee the implementation of your data products. Your ideas and research will contribute directly to our client facing product.

WHAT YOU WILL BE DOING:

• Be an intellectually generous and collaborative team member
• Develop end-to-end machine learning prototypes that could scale to run in a production environment
• Contribute meaningful improvements to existing machine learning models through carefully directed research
• Maintain a focus on shipping product, understanding that oftentimes done is better than perfect
• Derive actionable insights from massive data sets with minimal support
• Provide input into the collection of new data sources and the refinement of existing ones to improve analysis and model development
• Become an expert on TTD’s client-facing platform

WHAT YOU BRING TO THE TABLE:

NON-TECHNICAL QUALIFICATIONS:

• You are enthusiastic to learn (and teach) new technologies, machine learning techniques, and advancements in the adtech industry
• You are comfortable working on an agile, distributed team spanning multiple time zones and continents
• You have an abundance of intellectual curiosity
• You are able to deliver a convincing story derived from the data sets to both a technical and non-technical audiences
• You have experience working closely with engineering team to bring ideas into real product
• Experience in digital advertising and/or recommendation system, relevant experience in recall / ranking is a plus

TECHNICAL QUALIFICATIONS:

• A relevant scientific and mathematical education (Masters and/or PhD welcome) with 5+ years of professional or academic experience in a data driven role working with massive data sets
• You have a solid understanding of statistical machine learning and optimization techniques as well as the ability to derive actionable insights from massive data sets
• You have experience recall/matching/retrieval algorithms
• You have experience in Adtech or recommendation systems
• You are familiar with one of the deep learning frameworks (e.g., Tensorflow, Pytorch, MXNet), knowledge of inference optimization is a plus
• You have experience with big data technologies such as Spark, AWS, Hadoop, Hive and are able to write efficient SQL
• You have experience in multiple programming languages (Python, R, Scala, Java, etc.) and are fluent at some selections of those

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

What you will be doing:

Key responsibilities

As a Data Engineer Intern, your role will encompass:

● Supporting to conduct ambitious projects in the transformation of clients through data

● Collaborating with the consulting and data team to provide comprehensive services to clients

● Using your technical abilities to assist in the transformation of clients’ marketing department

Among your responsibilities as a Data Engineer Intern, you will be responsible for:

● Help securing delivery on projects with Data Engineer

● Communicating the success of projects among the company

● 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 values to the client problematic

● Being a good team player, knowing your role and responsibility in the global ambition

● Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring

Being a great tech person

● Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives

● Researching and developing new technical approaches to address problems efficiently

● Sharing best practices and contributing to Artefact’s institutional knowledge

● Embodying Artefact’s values and inspiring others to do the same

● Experience working with Big Data technologies such as Hadoop, Spark, Kafka...

● Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment)

● Being able to adapt your solutions and approaches to technical environment (security, access, tools)

Qualifications :Education and Experience

● Bachelor’s degree in Software Engineering, Computer Engineering, or related fields

● Solid knowledge of computer science, data processing and data architecture

● Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact

● Skills in Python, Linux, SQL, Spark, Hive

● BigQuery/ Redshift, Devops and Javascript is a plus

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Team Lead, Performance Optimization

We are looking for a Team Lead to build, mentor, and guide a hybrid team of Optimization Managers and Data Analysts. This team is key to driving customer growth, combining consultative merchant engagement with large-scale analytics, experimentation, and automated solutions.

In this role, you’ll lead initiatives that optimize authorization rates, manage risk, and improve cost efficiency, while acting as a trusted advisor to merchants. Success requires a blend of people leadership, technical strategy, commercial insight, and cross-functional collaboration to ensure our products deliver maximum impact.

What you’ll do

• Build, coach, and scale a high-performing hybrid team of strategists and data analysts, setting clear expectations around quality, impact, and technical excellence
• Lead merchant-facing optimization engagements, ensuring recommendations are data-driven, product-aligned, and deliver measurable improvements in risk, fraud, and cost efficiency
• Guide the team in designing and implementing automated data solutions, utilizing Adyen products, big data platforms, and analytics tools to identify risks and opportunities. Champion scalable solutions (e.g., automated processes, dashboards, ETL pipelines) that improve operational efficiency without sacrificing quality
• Own team prioritization across merchant work, up-skilling, and strategic initiatives; manage senior stakeholders and communicate clear trade-offs
• Partner cross-functionally with Commercial, Product, Risk, and Operations to translate merchant insights into roadmap influence and position the team as subject matter experts in payments, fraud, and risk

Who you are

• 7+ years of experience bridging Data Analytics/Data Science and payments
• 2+ years of experience in a formal people leadership role, with a proven ability to lead teams that balance technical depth, customer impact, and operational excellence
• Strong technical expertise in Python, SQL, PySpark, and scalable data processing; hands-on experience with big data platforms and ETL pipelines
• Experience in automation, analytics tooling, and driving scalable solutions in a data-driven organization
• Excellent stakeholder management skills, with the ability to influence Product and Commercial partners through data storytelling, structured thinking, and actionable insights
• Clear communicator and confident presenter, able to engage senior external and internal stakeholders
• Entrepreneurial mindset with strong prioritization skills, a high sense of ownership, and the ability to thrive in a fast-paced, global environment

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Shanghai office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.