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.

We are hiring for a global top-tier digital asset exchange, serving millions of users across multiple continents. The company operates in a highly competitive, fast-moving market and is known for strong product execution, deep liquidity, and rapid global expansion.

They are now hiring a Social Media Lead to own global social strategy and execution across platforms. This role is responsible for global social media strategy, content innovation, and growth governance. You will lead social matrix operations across multiple platforms, working closely with regional teams, content creators, and marketing leadership.

We are looking for someone creative, culturally sharp, and execution-driven, who understands the pace and dynamics of the Web3 / exchange industry.

Core Responsibilities

• Strategic Growth: Design and execute a robust Twitter roadmap that integrates seamlessly with broader marketing objectives.

• Creative Content Production: Produce high-impact visual assets—ranging from viral memes and GIFs to punchy short-form videos—tailored to capture audience attention.

• Community Cultivation: Manage daily interactions and dialogue to build a welcoming, active, and supportive digital ecosystem.

• Event Leadership: Coordinate and host live AMA (Ask Me Anything) sessions featuring key opinion leaders and industry specialists.

• Data-Driven Optimization: Evaluate key performance indicators (KPIs) to assess campaign reach and refine tactics based on analytical insights.

• Trend Monitoring: Keep a pulse on evolving platform algorithms, emerging digital trends, and industry standards.

• Unified Branding: Partner with internal departments to maintain a synchronized brand identity across every touchpoint.

Candidate Requirements

• Platform Expertise: A demonstrated history of managing professional social media profiles, specifically focused on the Twitter/X landscape.

• Industry Background: Mandatory prior experience working within a Centralized Exchange (CEX) environment.

• Web3 Proficiency: A sophisticated grasp of the crypto space and the nuances of decentralized communities.

• Cultural Fluency: A natural instinct for meme-driven communication and the ability to spark engagement through relatable content.

• Bilingual Communication: Mastery of both English and Mandarin, with exceptional clarity in writing and speaking.

• Collaborative Versatility: Equally effective when spearheading solo projects or contributing to group initiatives.

• Youth Culture Alignment: A genuine enthusiasm for social media and a deep-seated understanding of Gen Z behaviors and preferences.

• Analytical Toolset: Proficiency in utilizing standard industry software to track and interpret social media metrics.

We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.

Responsibilities:

• Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
• Implement automated quality scoring and de-duplication systems.
• Manage data pipelines that feed directly into SFT and DPO training loops.

Qualifications:

• Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
• Deep knowledge of prompt engineering for data generation.
• Familiarity with dataset distillation and bias mitigation.

Capco

Capco is a leading global technology and management consultancy that excels in driving digital transformation within the financial services and insurance sectors. With an unwavering commitment to delivering practical solutions, we empower our clients to navigate the complexities of today's fast-paced market. Our integrated services span across major financial hubs worldwide, ensuring that we are always close to our clients and their needs.

At Capco, we possess not only the expertise but also the vision and passion necessary to lead transformative change. As we embark on an exciting growth journey, this is the perfect moment to join our team. We are expanding geographically, increasing our workforce, and poised to disrupt the consulting landscape across APAC with our entrepreneurial spirit and agile methodologies.

About the Role

We are thrilled to introduce an opportunity for a talented AI Engineer to join our Hong Kong team. This role is designed for a technology innovator who thrives on solving complex challenges and is passionate about building AI-driven solutions that transform the Financial Services industry. As an AI Engineer at Capco, you will play a pivotal role in shaping the future of banking and insurance by leveraging cutting-edge AI technologies to deliver intelligent, scalable, and compliant solutions. Your work will enable our clients to unlock new efficiencies, enhance customer experience, and stay ahead in a rapidly evolving digital landscape. If you are excited about applying advanced AI techniques to real-world business problems and driving measurable impact, we want you on our team.

Key Responsibilities

• Build multi-agent workflows to optimize business processes within banking and financial services.
• Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.
• Train, fine-tune, and optimize neural network models, including LLMs, for specific use cases such as risk assessment and customer query resolution.
• Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications.
• Ensure AI models adhere to banking regulations, data privacy standards (e.g., GDPR, CCPA), and ethical AI practices.
• Conduct experiments, evaluate model performance, and iterate solutions to improve accuracy and efficiency.
• Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.
• Stay updated on emerging AI trends, particularly in NLP and LLMs, and contribute to knowledge sharing within the team.
• Participate in code reviews, agile ceremonies, and CI/CD processes.

Experience and Qualifications

• 4–10 years of professional experience in AI/ML engineering, with a focus on software development and deployment.
• Strong software engineering experience with Python and libraries such as TensorFlow, PyTorch, scikit-learn, and Huggingface.
• Demonstrated experience in NLP, including projects involving text classification, entity recognition, or similar.
• Hands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability.
• Proven expertise working with LLMs (e.g., GPT, BERT) and building agentic solutions using frameworks like LangChain, LangGraph, or ADK.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.
• Solid understanding of machine learning concepts, including supervised/unsupervised learning, evaluation metrics, and bias mitigation.
• Experience with version control systems (e.g., Git) and agile methodologies.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience in financial services domains such as fraud detection, credit scoring, or customer service automation.
• Familiarity with big data tools (e.g., Spark, Hadoop) and databases (SQL/NoSQL).
• Knowledge of graph databases and knowledge graphs.
• Understanding DevOps practices, containerization (Docker, Kubernetes), and MLOps workflows.
• Publications, open-source contributions, or certifications in AI/ML.
• Strong communication skills for presenting technical concepts to non-technical stakeholders.

SLSQ227R402

As a Hunter Account Executive, your mission will be to acquire and grow some of our most exciting enterprise customers in Databricks within the Greater China Region. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China. 

The impact you will have:

• Prospect for new customers
• Assess your existing customers and develop a strategy to identify and engage all buying centers
• Use a solution approach to selling and creating value for customers
• Identify the most viable use cases in each account to maximize Databricks' impact
• Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory
• Build value with all engagements to promote successful negotiations and close
• Promote the Databricks enterprise cloud data platform
• Be customer-focused by delivering technical and business results using the Databricks Platform

What we look for:

• Proven success in Enterprise Sales roles, ideally in Big Data, Cloud, or SaaS technology
• Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
• Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
• Proven success and upward trajectory in whatever you have done
• Bachelors Degree and 5+ years of experience selling SaaS solutions to Enterprise Customers
• Business proficiency in Mandarin and experience in the Greater China Region is required to enable effective collaboration and understanding of client needs.
• The successful candidate will engage with Greater China Region customers in Mandarin to conduct technical and business discussions, address sales challenges, and present clear value propositions and outcomes.

SLSQ227R259

As an Enterprise Account Executive in Databricks, you are an enterprise sales professional experienced in selling to Enterprise accounts in Greater China region. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems.

You will report to the Director of Enterprise Sales.

The impact you will have:

• Present a territory plan within the first 90 days
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and apply appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts.

What we look for:

• Field sales experience within big data, Cloud, and SaaS sales, covering Greater China territory
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
• Success in closing new accounts while working on existing accounts
• Understanding of Spark and big data is preferable
• Business proficiency in Mandarin and experience in the GCR territory are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the customers in Mandarin to conduct technical and business discussions, address sales challenges, and present clear value propositions and outcomes.

About the Team

Our Design team at Nothing is all about crafting experiences that feel real and inspiring. We’re thinkers, makers, and pragmatic idealists, building mobile OS, native apps and AI enabled services that aren't just functional, but genuinely designed to spark emotion. We move fast, challenging the ordinary because we believe tech should be exciting and make things better. You’ll join a nimble, global group of UI, UX, and industrial designers, tackling tough problems like ensuring our brand feels cohesive across iOS and Android, even as we push new features out at warp speed. We're constantly balancing the need for quick iteration with maintaining our high bar for design quality, all while building out a robust design system that sets us up for the future.

What You'll Do

• Part of the comprehensive design lifecycle for new experiences across mobile OS and native applications, from initial concept through to successful implementation.
• Conceive, create, and deliver precise design specifications that guide engineers from vision to reality.
• Collaborate directly with global engineers, product managers, and fellow designers to craft innovative solutions and integrate new software features.
• Conduct user research and prototype testing to validate ideas rapidly, ensuring our designs truly resonate with real users.
• Drive product innovation by developing a deep understanding of our audience and contribute strategically to defining future product features.

What We're Looking For

• Proven track record in end-to-end product design, with a portfolio showcasing superb UI execution and craftsmanship, ideally with some shipped mobile applications.
• Expert proficiency in modern design tools like Figma.
• A keen eye for visual design excellence and a solid grasp of human-centred design processes and interaction principles.
• A pragmatic problem-solver who can navigate complexity, turning ambitious ideas into simple, elegant realities.
• Someone with a strong sense of ownership and drive, who takes initiative and champions user needs from discovery to delivery.
• Committed to excellence in every pixel and interaction, constantly seeking feedback and striving for continuous improvement.
• A collaborative spirit with strong interpersonal skills, adept at articulating design decisions and fostering alignment across diverse teams.

Why Nothing

At Nothing, you won't just be designing features; you'll be shaping the future of tech with products that defy convention and redefine expectation. This is your chance to make a tangible impact on experiences used by millions, in a place where your voice is heard and your ideas can flourish. We're a fast-moving, independent company, which means endless opportunities for learning, growth, and pushing your own boundaries. Join us and build something better, openly, with a community that's just as passionate as you are.

• Location: Shenzhen, China
• Working Pattern: This is a full-time, in-office role (5 days a week). We move fast, and that means being physically present. We design flexibility around personal needs, but we focus on the magic that sparks when we’re all in the same room.

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future.

Key Responsibilities

• Design and implement AI platforms, encompassing both front-end interfaces and back-end services.
• Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization.
• Deploy AI models into production environments, ensuring performance, scalability, and reliability.
• Develop and maintain data processing pipelines to ensure data quality and consistency.
• Stay updated on AI technology trends, advocating for the integration of new technologies into our products.
• Contribute to other projects based on the company’s product development progress

Requirements

• Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
• 5 years of full-stack development experience, proficient in both front-end and back-end technologies.
• Expertise in front-end and back-end technologies (especially Golang)
• Eager to explore and could use new technologies related to AI that help improve working efficiency
• Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation.
• Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations.
• Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative.

Preferred Qualifications

• Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
• Experience in deploying and optimizing AI agent
• Experience contributing to open-source projects
• Build high-performance APIs and microservices to support large-scale Web3 application
• Familiarity with large-scale data processing technologies such as Hadoop or Spark.