About the team

The TV Technology team within the Roku TV New Product Introduction (NPI) group focuses on delivering the best Audio Quality (AQ) and Picture Quality (PQ) and driving innovation. With tens of millions of TVs sold globally, thousands of channels, and billions of hours streamed on Roku TVs, worldclass AQ and PQ are essential. 

About the role

We are seeking a Senior Quality Assurance Engineer to join the TV Technology team, based in Shenzhen. As a Senior Quality Assurance Engineer, you will be focused on helping our TV partners build the most desirable and best Smart TVs available. Your expertise in AQ and/or PQ will be utilized to help achieve the best possible audio and picture performance on specific mass-produced TV models by working closely with our TV partners, SOC vendors, and Roku TV engineers. You will also work on optimize and drive automation for existing audio and/or picture test strategies, e.g. by using AI and automation solutions to enhance efficiency and coverage.

What you will be doing

• Design, document, and execute test cases for AQ and/or PQ new feature verification, ensuring comprehensive test coverage and high-quality deliverables.
• Collaborate closely with dev engineers to debug issues, perform iterative testing, and drive feature quality throughout the product lifecycle.
• Continuously optimize AQ and/or PQ test strategies, identifying areas for improved efficiency, coverage, and risk-based testing approaches.
• Develop, maintain, and enhance automation scripts (primarily in Python) to increase test efficiency and maintain a sustainable automation framework.
• Contribute to test documentation, including test plans, test guides, and knowledge transfer materials for NPI manufacturing and release QA teams.
• Participate in technical discussions with stakeholders to align testing efforts with product roadmaps and business priorities.

We’re excited if you have

• 7+ years of experience in software quality assurance, with a focus on embedded systems, consumer electronics, or TV industry background.
• Hands-on experience in AQ and/or PQ testing, with a solid understanding of related test methodologies and industry standards.
• Proven ability to debug complex issues, work closely with development teams, and drive quality improvements across cross-functional organizations.
• Strong automation skills, particularly with Python scripting, and a proven track record of developing and maintaining automated test cases.
• Good English communication skills (both spoken and written) with the ability to participate in daily technical discussions and collaborate with global teams.
• Self-motivation and a proactive attitude, with the ability to work independently in a fast-paced, dynamic environment.
• An open mindset toward AI technologies – even without prior hands-on AI experience, a strong willingness to learn and explore AI applications in QA is highly valued.
• Experience with test automation frameworks and CI/CD integration.
• Familiarity with SoC partner engagement or factory support in consumer electronics manufacturing.
• Knowledge of AI/ML-based testing tools or data-driven testing approaches.

#LI-GW1

Your Location

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

The Community You Will Join:

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

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

The Difference You Will Make:

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

What You’ll Do: 

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

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

Your Expertise:

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

Our Commitment To Inclusion & Belonging

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

We are hiring for Machine Learning Engineering across multiple levels.

Your Location:

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

The Community You Will Join:

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

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

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

The Difference You Will Make:

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

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

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

A Typical Day: 

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

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

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

Your Expertise:

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

Our Commitment To Inclusion & Belonging:

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

Your Location:

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

The Community You Will Join:

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

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

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

The Difference You Will Make:

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

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

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

A Typical Day: 

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

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

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

Your Expertise:

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

Our Commitment To Inclusion & Belonging:

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

As a Machine Learning Engineer Intern at Optiver, you’ll work alongside experienced engineers on high-performing systems that respond to live financial markets in real time.

You’ll contribute to the compute platforms and libraries that support large-scale machine learning model training and simulation workloads, gaining hands-on experience applying modern ML techniques to real quantitative trading problems. Within weeks, you could be building tools or models that run in production and directly support our trading strategies.

By the end of the 8-week internship, you’ll have a clear and practical understanding of how technology and ML techniques are used in the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Machine Learning Engineer.

WHAT YOU’LL DO:

Led by our in-house education team that consists of ex-traders and engineers, you’ll delve into advanced engineering concepts and lead innovative projects, during our world-class training program.

In just a few weeks, you'll have the opportunity to:

• Gain first-hand experience applying the latest AI technology to quantitative trading problems.

• Help build the compute platform and libraries for large scale machine learning model training and simulation workloads.

• Manage a project end-to-end, learn how to work with a complex code base and make impactful contributions to production systems.

• Work on real trading and IT problems, both technically and functionally, to improve our trading success.

Throughout the program, you'll be paired with an experienced mentor, who will show you the ins-and-outs of our trading systems, and provide you with guidance and feedback.

Additionally, internal resources will be available for your continuous learning and development.

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 the most complex problems in the financial markets.

In addition, you’ll receive:

• A highly competitive remuneration package.

• Optiver-covered flights and accommodation for the duration of the internship.

• The opportunity to work alongside best-in-class professionals.

• Training, mentorship and personal development opportunities.

• Gym membership, plus weekly in-house chair massages.

• Daily breakfast, lunch and in-house barista.

• Regular social events.
  
  

WHO YOU ARE:

• Students graduating in 2027 or later.

• Foundations in Machine Learning fundamentals, including optimisation and deep learning concepts.

• Hands-on experience with deep learning frameworks such as PyTorch, JAX, or similar.

• Interested in building scalable and reproducible machine learning pipelines, including data preprocessing, training, evaluation, and experiment tracking.

• Natural problem solvers who love nothing more than tackling a complex technical challenge.

• Team players who thrive in collaborative environments and are eager to learn, iterate, and improve.

• Interested in the trading / quantitative finance industry (prior finance knowledge is not required).
  
  Optional:

• Ability to identify and reason about compute and performance bottlenecks, using profiling, benchmarking, and systematic analysis to improve training efficiency.

• Experience with distributed training or GPU acceleration is a plus.

• Familiarity with experiment management tools (e.g. MLflow, Weights & Biases) or workflow orchestration is a plus.

HOW TO APPLY:

If you're ready to take the next step in your career and work on one of the most exciting trading floors in mainland China, we’d love to hear from you. Apply now via the form below. Applications close 16 March 2026.

In your application, please submit the following materials in English:

• Resume

• Cover letter (optional)

For any other inquiries, contact us at chinacareers@optiver.com.au

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.

We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can re-apply when the next recruitment season begins in 2027.

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.

Role Overview

Astera Labs is seeking a Principal Product Applications Engineer to join our Taurus Ethernet Smart Cable Modules team and drive customer success at the forefront of AI infrastructure connectivity. As data centers scale to meet explosive AI workload demands, our Taurus products are enabling the high-bandwidth, low-latency Ethernet fabric connections that power next-generation GPU clusters and disaggregated computing architectures.

In this role, you'll be the technical expert customers rely on to successfully deploy Taurus Ethernet solutions in their most demanding environments. You'll work hands-on with hyperscalers, OEMs, and AI system builders to debug complex physical layer challenges, deliver technical enablement, and ensure seamless product integration. Your customer insights will directly influence how we evolve our products to meet the market's most pressing connectivity needs.

This is a unique opportunity to combine deep Ethernet and physical layer expertise with meaningful customer impact at a hyper-growth company defining the future of AI connectivity. You'll collaborate across engineering, sales, and product teams while building relationships with the world's most innovative technology companies.

Key Responsibilities

· Customer Technical Engagement

o Serve as the primary technical resource for customers evaluating and deploying Taurus Ethernet Smart Cable Modules

o Deliver technical presentations, product training, and hands-on demonstrations to customer engineering teams

o Build trusted relationships with key accounts and drive successful product adoption

· System-Level Debug & Validation Support

o Lead root cause analysis and debugging of complex Ethernet physical layer and link issues in customer systems

o Support customer lab bring-up, characterization, and system validation activities

o Develop and execute test plans to reproduce and resolve customer-reported issues

o Experience with firmware handling preferred

· Technical Documentation & Enablement

o Create application notes, integration guides, and best practices documentation for Ethernet system implementation

o Develop technical collateral that accelerates customer time-to-deployment

o Contribute to product documentation including datasheets and user guides

· Cross-Functional Collaboration

o Partner with product management and engineering to translate customer feedback into product requirements

o Support sales teams with technical expertise during pre-sales and post-sales engagements

o Represent voice of the customer in internal roadmap discussions and feature prioritization

Basic Qualifications

· Bachelor's degree in Electrical Engineering, Computer Engineering, or related field

· 8+ years of experience in applications engineering, technical support, or system engineering roles

· Strong understanding of Ethernet physical layer specifications (100G/200G/400G/800G)

· Hands-on experience with lab equipment including oscilloscopes, protocol analyzers, and BER test tools

· Experience debugging high-speed serial interfaces and signal integrity challenges

· Excellent written and verbal communication skills with ability to convey complex technical concepts

· Ability to travel within mainland China and Asia for customer debug

Preferred Qualifications

· Experience with optical modules, active cables, or similar high-speed connectivity components

· Familiarity with AI/ML system architectures, GPU clusters, or data center networking

· Background in signal integrity analysis and simulation

· Scripting proficiency (Python, TCL) for test automation and data analysis

· Prior experience working with hyperscale or enterprise data center customers

· Knowledge of Ethernet consortium specifications and industry standards

WHAT YOU’LL DO

We are now looking for a Software Engineer to join the China Options team. You will be responsible for setting architectural direction for parts of our system, delivering large bodies of well-engineered code and owning projects that directly impact Optiver’s cutting-edge trading systems. You will collaborate with fellow Engineers, Traders and Researchers to develop a deep understanding of trading, exchanges and what the 'machine' is doing. You're not attached to tools and technologies, you focus on solving problems. Your challenge is to further innovate and maintain the foundation underlying our wider infrastructure.Some of the things you could be involved in are:

• Own the design, development and deployment of services that comprise our globally distributed trading platform
• Build partnerships across the business to ensure we're feeding the best ideas into our solutions
• Build automated trading stack that runs machine learning models over high-performance servers to execute high-quality trades in low-latency
• Continuously improve our trading systems and strategies to optimize for the ever-evolving markets

The difference with technology at Optiver is how fast the pace is, and the direct impact it has on trading. Where traditional software development teams can take months or years to build systems from business requirements, our developers work closely with traders to ensure a short development life cycle and quick feedback on the impact of your work.

WHO YOU ARE

• You have at least 3 years’ work experience as a Software Engineer
• Curious about how trading works and motivated to understand the business impact behind the technology you build
• Experience with large scale server side development, and high-throughput, low-latency system optimisations
• Technologists who are passionate about software and not only like to learn about it at work, but also like to get involved in their own projects at home
• Natural problem solvers who love nothing more than tackling a complex technical challenge
• Team players who love working with like-minded peers and are always looking to learn and improve
• Experience with making architectural recommendations on IT solutions, design & approach

DIVERSITY AND INCLUSION

Optiver is committed to diversity and inclusion, and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

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.

Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with over 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.

Since its establishment in 2012, our Shanghai office is a rapidly growing participant in the Chinese markets, trading exchange-listed futures, options and equities in China mainland. Our vision is to become the trusted partner in the development of Chinese financial markets. With the culture of a start-up but the backing of a close-to-40 year-old trading firm, the Optiver Shanghai office is truly unique. Everyone who joins us will help shape the future of our company and its global impact. Get ready: we are only just beginning.

About the AI Lab at Optiver

Optiver has built its reputation as a global leader in trading through rigorous research, rapid innovation, and uncompromising performance. Now, we’re launching a new frontier: AI Lab Shanghai.

This newly established team will operate independently from our core trading operations, serving as a long-term innovation engine to explore, develop, and apply the most advanced AI and machine learning technologies to complex problems. From foundational model development to novel AI systems, the AI Lab will be at the forefront of pushing boundaries.

Key Responsibilities

• Building the compute platform and machine learning libraries for large scale machine learning and simulation workloads
• Focus on compute platform stability and efficiency on both CPU and GPU clusters, making the platform observable and scalable
• Utilize cluster monitoring and profiling tools to identify bottlenecks and optimize both infrastructure and software system

Challenges You Will Tackle: design, build and improve our compute platform for PB scale data model training and simulations with a wide range of machine learning models by leveraging our existing research infrastructure.

Requirements:

• Solid experience in running production machine learning infrastructure at a large scale
• Experience in designing, deploying, profiling and troubleshooting in Linux-based computing environments
• Proficiency in containerization, parallel computing and distributed training algorithms
• Experience with storage solutions for large scale, cluster-based data intensive workloads

Bonus qualification:

• Experience of supporting machine learning researchers or data scientists for production workloads

Why Join Us?

• Build a new frontier of AI innovation at one of the world’s top trading firms.
• Operate in a high-trust, low-bureaucracy environment with exceptional resources.
• Access to cutting-edge infrastructure, compute, and proprietary datasets.
• Competitive compensation and long-term incentives.

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.

Questions? Get in touch with the recruitment team at careers@optiver.com.au.

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.

Key Responsibilities

• Building the compute platform and machine learning libraries for large scale machine learning and simulation workloads
• Focus on compute platform stability and efficiency on both CPU and GPU clusters, making the platform observable and scalable
• Utilize cluster monitoring and profiling tools to identify bottlenecks and optimize both infrastructure and software system
• Troubleshoot and resolve issues related to OS, storage, network, and GPUs

Challenges You Will Tackle: design, build and improve our compute platform for PB scale data model training and simulations with a wide range of machine learning models by leveraging our existing research infrastructure.

Requirements:

• Solid experience in running production machine learning infrastructure at a large scale
• Experience in designing, deploying, profiling and troubleshooting in Linux-based computing environments
• Proficiency in containerization, parallel computing and distributed training algorithms
• Experience with storage solutions for large scale, cluster-based data intensive workloads

Bonus qualification:

• Experience of supporting machine learning researchers or data scientists for production workloads

WHAT YOU CAN EXPECT FROM US:

In return for you joining our elite team, you will be offered a competitive salary package as well as access to a plethora of Optiver-perks. To hear more about what it is like to work here and our great culture, apply now and take the first step towards the best career move you will ever make!

DIVERSITY AND INCLUSION

Optiver is committed to diversity and inclusion, and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

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.

WHAT YOU’LL DO

As a Software Engineer, you will be responsible for setting architectural direction for parts of our system, delivering large bodies of well-engineered code and owning projects that directly impact Optiver’s cutting-edge trading systems. You will collaborate with fellow Engineers, Traders and Researchers to develop a deep understanding of trading, exchanges and what the 'machine' is doing. You're not attached to tools and technologies, you focus on solving problems. Your challenge is to further innovate and maintain the foundation underlying our wider infrastructure.

Some of the things you could be involved in are:

• Own the design, development and deployment of services that comprise our globally distributed trading platform
• Build partnerships across the business to ensure we're feeding the best ideas into our solutions
• Build automated trading stack that runs machine learning models over high-performance servers to execute high-quality trades in low-latency
• Continuously improve our trading systems and strategies to optimize for the ever-evolving markets

The difference with technology at Optiver is how fast the pace is, and the direct impact it has on trading. Where traditional software development teams can take months or years to build systems from business requirements, our developers work closely with traders to ensure a short development life cycle and quick feedback on the impact of your work.

WHO YOU ARE

• You have at least 5 years’ work experience as a Software Engineer
• Experience with large scale server side development, and high-throughput, low-latency system optimisations
• Technologists who are passionate about software and not only like to learn about it at work, but also like to get involved in their own projects at home
• Natural problem solvers who love nothing more than tackling a complex technical challenge
• Team players who love working with like-minded peers and are always looking to learn and improve
• Experience with making architectural recommendations on IT solutions, design & approach

WHAT YOU’LL GET

At Optiver, we have a very flat structure. We work extremely closely with our stakeholders, often working as a single team to solve Optiver’s problems. Individually, you are very highly empowered to deliver significant changes, with the support of your team and your leaders. Above all we value the passion of our technical team and foster a collaborative and innovative working environment which nurtures brilliant minds.

In return for your expertise, you will be offered a competitive salary package as well as access to a plethora of Optiver-perks. 

DIVERSITY AND INCLUSION

Optiver is committed to diversity and inclusion, and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

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.

WHAT YOU’LL DO

As a Software Engineer, you will be responsible for setting architectural direction for parts of our system, delivering large bodies of well-engineered code and owning projects that directly impact Optiver’s cutting-edge trading systems. You will collaborate with fellow Engineers, Traders and Researchers across global offices to develop a deep understanding of trading, exchanges and what the 'machine' is doing. You'll work with cutting-edge AI development tools and have the autonomy to shape how AI agents are integrated into our engineering workflows. Your challenge is to further innovate and maintain the foundation underlying our wider infrastructure.

Some of the things you could be involved in are:

• Own the design, development and deployment of services that comprise our globally distributed trading platform
• Build partnerships across the business to ensure we're feeding the best ideas into our solutions
• Build automated trading stack that runs machine learning models over high-performance servers to execute high-quality trades in low-latency
• Leverage AI agents to automate and accelerate engineering and research workflows, from code generation to  experiment evaluation and continuous integration
• Continuously improve our trading systems and strategies to optimize for the ever-evolving markets

The difference with technology at Optiver is how fast the pace is, and the direct impact it has on trading. Where traditional software development teams can take months or years to build systems from business requirements, our developers work closely with traders to ensure a short development life cycle and quick feedback on the impact of your work.

WHO YOU ARE

• You have at least 3 years’ work experience as a Software Engineer
• Experience with large scale server side development, and high-throughput, low-latency system optimisations
• Technologists passionate about adopting new tools and technologies — you actively explore emerging tech (AI agents, LLMs, novel dev tooling) and are excited to apply them to real-world engineering problems
• Natural problem solvers who thrive on complex technical challenges — whether it's shaving microseconds off latency, debugging a production crash under pressure, or architecting a system that scales globally
• Team players who love working with like-minded peers and are always looking to learn and improve
• Experience with making architectural recommendations on IT solutions, design & approach

 
WHAT YOU’LL GET
At Optiver, we have a very flat structure. We work extremely closely with our stakeholders, often working as a single team to solve Optiver’s problems. Individually, you are very highly empowered to deliver significant changes, with the support of your team and your leaders. Above all we value the passion of our technical team and foster a collaborative and innovative working environment which nurtures brilliant minds.
In return for your expertise, you will be offered a competitive salary package as well as access to a plethora of Optiver-perks.

DIVERSITY AND INCLUSION

Optiver is committed to diversity and inclusion, and it is hardwired through every stage of our hiring process. We encourage applications from candidates from any and all backgrounds, and we welcome requests for reasonable adjustments during the process to ensure that you can best demonstrate your abilities.

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.

Impact in this Role

You will be responsible for scheduling work orders and act as a project engineer to address any in-process questions our manufacturers may raise, provide production status visibility to our builders, and mitigate major project risks that pose a threat to meeting our builders’ specifications. You will report to the head of program management in Feidi. Job Description

What You’ll Be Doing

Responsible for the post-sales order/program management in Fictiv China-

📍 This position will be required to work from our office in Guangzhou, China.

Join us in building the future of manufacturing! 🌎🔧✨

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.

About Us

AfterShip, a Great Place to Work Certified company, is transforming the global eCommerce landscape. Founded in 2012, AfterShip is a post-purchase SaaS company on a mission to build the world’s leading automation platform for ecommerce merchants.

AfterShip unifies shipping & labels, order tracking, AI predictive delivery, and returns management into one system—giving merchants a single place to manage and automate everything that happens after checkout. By centralizing these workflows, AfterShip enables merchants to reduce customer support inquiries, deliver a more reliable and engaging customer experiences, and unlock incremental revenue at every post-purchase touchpoint.

AfterShip integrates seamlessly with ecommerce platforms including Shopify and TikTok Shop, and connects with more than 1,200 carriers worldwide. Today, over 20,000 businesses—including Samsung, Gymshark, Vivino, Harry’s, Mous, and Rakuten—rely on AfterShip to turn every post-purchase moment into an opportunity to build trust, reduce costs, and drive repeat purchases.

Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning North America, Europe, and Asia, and representing over 20 cities worldwide.

Your Mission:

As Legal Counsel (Product & Technology), you will serve as a strategic partner to our Product and Engineering teams—helping bring innovative products to market while ensuring compliance across global jurisdictions.

This role sits at the intersection of law, technology, and business. You’ll provide practical, business-oriented legal guidance throughout the product lifecycle, translate complex regulatory requirements into actionable advice, and help scale legal frameworks that enable fast, compliant product development.

You’ll collaborate closely with Product, Engineering, Design, and GTM teams across North America, Europe, and APAC—acting as a key bridge across regions, particularly between China-based R&D and global stakeholders.

This is a remote-first role with a preference for candidates who can collaborate across time zones. You may be required to work outside of standard business hours 1–2 times per week to support global teams.

What You’ll Do:

• Partner with Product & Engineering: Provide end-to-end legal support across the product lifecycle—from ideation to launch and iteration. Draft and negotiate key agreements including terms of service, licensing agreements, and commercial contracts.
• Drive Regulatory Compliance & Risk Management: Translate privacy, data protection, consumer protection, and IP requirements into clear, actionable guidance. Proactively identify risks and advise on mitigation strategies across China, Europe, and North America.
• Collaborate Cross-Functionally: Work closely with Product, Engineering, Design, Compliance, Risk, and Policy teams to ensure products meet legal standards while achieving business goals. Act as a bridge between APAC and NA/EU stakeholders.
• Build Scalable Legal Processes: Develop and improve internal policies, templates, and workflows to enable faster and more efficient product development while maintaining compliance.
• Support Strategic Initiatives: Contribute to high-impact projects such as M&A due diligence, new product launches, and emerging technology assessments (e.g., AI). Partner with external counsel when needed.

Success in this role looks like:

• Enabling product teams to ship quickly with clear, practical legal guidance
• Proactively identifying and mitigating legal risks across jurisdictions
• Building scalable legal frameworks that improve speed and consistency
• Becoming a trusted advisor to cross-functional stakeholders globally

Who We're Looking For:

Experience & Qualifications

• Juris Doctor (JD) or equivalent law degree
• Qualified to practice law in China or a major common-law jurisdiction
• 5–8+ years of legal experience, including 3+ years in-house at a technology company
• Strong experience advising on product development, data privacy, and intellectual property

Technical & Functional Expertise

• Deep knowledge of Chinese and international data privacy regulations
• Experience drafting and negotiating technology and commercial agreements
• Experience working across multiple jurisdictions and global teams
• Fluency in both English and Mandarin

Core Skills & Attributes

• Strong business judgment with a pragmatic, solution-oriented approach
• Excellent drafting, negotiation, and communication skills
• Ability to manage multiple priorities in a fast-paced, ambiguous environment
• Culturally aware, with the ability to bridge Eastern and Western teams
• Self-starter who can operate independently in a remote-first environment

Nice to Have

• Privacy certifications (e.g., CIPP/US, CIPP/E, CIPP/C)
• Experience with AI/ML regulatory frameworks
• Background in eCommerce, logistics, or SaaS platforms
• Experience drafting bilingual contracts and policies

At AfterShip, we know great talent doesn’t always fit every requirement. If you’re passionate about our mission and believe you can make an impact, we encourage you to apply.

Why You Should Join Us: 

• Great Place to Work Certified: We’ve been recognized for our inclusive, values-driven culture that celebrates diversity and collaboration.
• Innovative & Inclusive Culture: Started by our software engineer-turned-CEO, AfterShip is built on curiosity, creativity, and collaboration. We’re a passionate, global team of problem solvers who put egos aside to innovate together. We take immense pride in fostering a culture that’s inclusive, which has allowed us to surround ourselves with the industry's most talented professionals.
• Ambitious Mission with Real Impact: Join us in transforming eCommerce by making buying and selling easier for everyone. It’s one of the most dynamic spaces in tech, with limitless opportunities to innovate and grow.
• Thrive & Grow: There’s no ceiling to what you can achieve or learn here. We’re committed to empowering your career while advancing together as a company.

We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities:

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications:

• Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
• Experience with MLflow, Weights & Biases, or LangSmith.
• Knowledge of building scalable microservice architectures.

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

Responsibilities:

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

Required Skills:

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

Why A365 Software Engineering?

Build the cloud platform that’s transforming electronics design. Altium 365 for cloud lets design engineers communicate, collaborate and bring their ideas to market more efficiently than any platform in the industry. These are some of the R&D Software Engineering contributions you might make to Altium 365:    

• Building new cloud-native applications and scalable infrastructure
• Utilizing AI and ML to power advanced search capabilities
• Large-scale data processing; data modeling; holistic, intent-based API design
• Stateful and stateless servers, relational databases, ORM frameworks

Altium offers the opportunity to conceive and build new product features for electronics engineers, and add your own ideas to the world’s most collaborative and efficient electronics design platform.

A Day in The Life of Our DevOps Engineer:

• Have clear and solid relationships with software development departments.
• Plan and document work and projects.
• Build and continuously optimize CI/CD process and streamline automation effort for server provisioning and applications deployment.
• Build a resilient and scalable service infrastructure to accommodate regions.
• Deploy, monitor and scale application services.
• Mentor team members and drive knowledge sharing.
• Participate in project management and on-going strategic planning.

Who you are and what you’ll need for this position:

• It's a full-time, on-site position - five days a week in the office.
• 6+ years of experience in DevOps / SRE environment.
• 6+ years of experience working with Linux, Windows systems.
• Strong understanding and knowledge of Kubernetes. 
• Strong understanding and knowledge of cloud infrastructure components such as AWS (EC2,EKS, RDS, Opensearch, S3, Storage, Route53 and network appliances.
• Strong understanding of Infrastructure as a Code approach (Terraform preferred).
• Good understanding of Software Development Lifecycle.
• Good understanding of microservice architecture.
• Good experience in Monitoring k8s clusters, APM, services and infrastructure located in AWS (NewRelic).
• Ability to create automation tools in Go, Python, Bash, Powershell.
• Familiarity with Continuous Delivery tools used with microservices.
• Hands-on experience architecting and securing cloud networking such as VPC peering, Transit Gateways, subnet, and security groups (nice to have).
• Working knowledge of Jenkins, GitLab or alternative Continuous Integration systems.
• Understanding of Active Directory, DNS and Domain (nice to have).
• Coding Experience.

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.

Summary: We are seeking an AI Engineer to join an innovative team in Shenzhen. This role involves developing cutting-edge AI solutions to support our next-generation Layer 1 blockchain project, focusing on institutional adoption and the tokenization of real-world assets. The AI Engineer will play a critical role in designing and implementing AI models that bridge traditional Web2 institutions into Web3.

Responsibilities:

• Design and develop AI algorithms and models to support blockchain infrastructure.
• Collaborate with cross-functional teams to integrate AI solutions into blockchain applications.
• Analyze and interpret complex data sets to enhance decision-making processes.
• Implement machine learning models to improve blockchain scalability and efficiency.
• Ensure AI solutions comply with regulatory and security standards.
• Stay updated with the latest AI and blockchain technologies.

Required skills:

• Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• Proven experience in AI and machine learning model development.
• Strong programming skills in languages such as Python, R, or Java.
• Familiarity with blockchain technology and decentralized applications.
• Ability to work collaboratively in a fast-paced, dynamic environment.
• Excellent problem-solving and analytical skills.
• Proficiency in English and Mandarin is required.

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

What You’ll Do

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

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

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

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

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

Your Technical Toolkit

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

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

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

Purpose of Position

• The Senior Engineer, DevOps, Infrastructure Operations and AIOps will be responsible for the design, implementation, enhancement, and support of the company’s cloud and infrastructure platforms, deployment pipelines, operational tooling, and service reliability capabilities. The incumbent will work closely with engineering, product, security, and business teams to ensure that technology platforms are stable, scalable, secure, and efficient in supporting business growth.
• The incumbent is expected to bring strong hands-on experience in DevOps, infrastructure operations, automation, and production support, together with practical exposure to AIOps capabilities that improve monitoring, incident detection, alerting, troubleshooting, and operational efficiency in a fast-paced and dynamic environment.

Job Description

• Design, build, maintain, and optimize infrastructure platforms, DevOps pipelines, and operational tooling to support reliable and scalable technology delivery.
• Manage and enhance cloud and on-premise infrastructure environments, including compute, storage, network, access control, backup, disaster recovery, and related platform services.
• Build and improve CI/CD pipelines, release automation, environment provisioning, and infrastructure-as-code capabilities to strengthen delivery speed, consistency, and quality.
• Work closely with application engineering teams to ensure solutions are deployable, observable, secure, and operationally supportable across development, testing, and production environments.
• Support production operations, service monitoring, incident response, root cause analysis, problem remediation, and continuous service improvement.
• Implement and maintain observability capabilities including logging, metrics, tracing, dashboards, and alerting to improve system visibility and operational responsiveness.
• Drive automation initiatives across infrastructure operations, deployment, configuration management, patching, capacity management, and operational workflows.
• Contribute to AIOps use cases including intelligent alert correlation, anomaly detection, predictive monitoring, incident triage support, operational insights, and workflow automation to improve efficiency and reduce manual effort.
• Collaborate with security teams to ensure infrastructure and DevOps practices align with security, compliance, vulnerability management, and access governance requirements.
• Support system resilience through backup, recovery planning, failover readiness, and disaster recovery testing.
• Work with third-party vendors and service providers where required to maintain service quality, issue resolution, and platform stability.
• Document infrastructure standards, runbooks, procedures, and best practices to strengthen team knowledge sharing and operational consistency.

Requirements

• Strong hands-on engineering experience in DevOps, infrastructure operations, site reliability, or platform engineering roles.
• Good understanding of cloud infrastructure, network fundamentals, system administration, environment management, backup and recovery, and operational support practices.
• Solid experience with CI/CD, infrastructure as code, configuration management, scripting, automation, and deployment tooling.
• Experience in production support, incident management, troubleshooting, root cause analysis, and operational improvement in business-critical environments.
• Strong understanding of observability and monitoring practices including logs, metrics, tracing, dashboards, and alerting.
• Practical experience with AIOps, intelligent operations tooling, or AI-enabled monitoring and automation capabilities is preferred.
• Familiarity with applying AI or machine learning concepts in operations use cases such as anomaly detection, event correlation, incident prediction, intelligent alerting, and workflow automation is a plus.
• Good understanding of infrastructure security, access control, patching, vulnerability management, and compliance requirements.
• Experience working with engineering teams in agile and fast-paced delivery environments.
• Strong problem-solving skills with the ability to troubleshoot across infrastructure, platform, deployment, and application support layers.
• Known for promoting automation, operational excellence, reliability, and engineering best practices.
• At least 5-8 years of relevant working experience in DevOps, infrastructure engineering, platform operations, or related technology roles.
• Experience in eCommerce, retail, or high-transaction consumer-facing environments is a plus.
• Experience in multicultural and fast-paced organizations is preferred.
• Strong communication and collaboration skills.
• Proficient in spoken and written Cantonese and English.

WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. We’re passionate about solving our customers’ most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey.

What you'll be doing:

The regional Senior Sales Engineer in China will join our rapidly growing sales organization. Being a WEKA Sales Engineer will require you to partner with customers, understanding their needs and requirements, helping them to leverage the value and performance that WEKA can provide to their business and applications.

          Responsibilities:

• Meet with customers and partners to educate them on the technical aspects of WEKA
• Assist with evaluations and system configurations
• Build and deliver technical product and architecture presentations and demos
• Become the advocate for WEKA customers and bring feedback back to the R&D and product management organizations
• Become a technical adviser to your customers and periodically review their status and inform on possible improvements
• Become an SME on WEKA and its ecosystem
• Contribute or lead responses to RFPs, RFQs, and RFIs
• Help in the creation and maintenance of Q&A’s, best practices, and other technical documentation
• This is a Hands-on position

          Requirements:

• Familiar with high performance IO workloads 
• Extensive filesystems system background - Experience with NFS, SMB and distributed parallel file systems
• Strong Linux OS knowledge
• Data Center networking understanding
• Experience with performance demonstrations and analysis
• Prior experience in working at a start-up company - an advantage
• Experience with running workloads in cloud hypervisors such as AWS, Azure, OCI or GCP
• Knowledge and experience in configuring and using Kubernetes
• Scripting abilities - an advantage
• Excellent verbal and written interpersonal skills

The WEKA Way:

• We are Accountable: We take full ownership, always–even when things don’t go as planned. We lead with integrity, show up with responsibility & ownership, and hold ourselves and each other to the highest standards.
• We are Brave: We question the status quo, push boundaries, and take smart risks when needed. We welcome challenges and embrace debates as opportunities for growth, turning courage into fuel for innovation.
• We are Collaborative: True collaboration isn’t only about working together. It’s about lifting one another up to succeed collectively. We are team-oriented and communicate with empathy and respect. We challenge each other and conduct positive conflict resolution. We are being transparent about our goals and results. And together, we’re unstoppable.
• We are Customer Centric: Our customers are at the heart of everything we do. We actively listen and prioritize the success of our customers, and every decision we make is driven by how we can better serve, support, and empower them to succeed. When our customers win, we win.

Concerned that you don’t meet every qualification above?

Studies have shown that women and people of color may be less likely to apply for jobs if they don’t meet every qualification specified. At WEKA, we are committed to building a diverse, inclusive and authentic workplace. If you are excited about this position but are concerned that your past work experience doesn’t match up perfectly with the job description, we encourage you to apply anyway – you may be just the right candidate for this or other roles at WEKA.

 WEKA is an equal opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Department：Avatar

职位：制造大模型算法工程师（Downstream）

职责描述：

1. 与资深制造大模型算法工程师合作，开发基于多模态电池基础大模型的下游应用。
2. 参与开发和优化多个具体应用模型，包括电芯质量评估模型、生产过程优化模型、电芯设计优化模型、电芯性能预测模型以及电芯设计生成式模型。
3. 协助实施和优化数据处理管道，确保数据准确性和一致性，以支持下游应用开发。
4. 应用机器学习和深度学习技术进行模型训练、验证和优化。
5. 分析和处理复杂的数据集，提取关键特征以改进模型性能和应用效果。
6. 协助跨职能团队理解业务需求并制定相应的技术实现方案。
7. 持续跟踪最新技术发展，协助引入前沿方法提升模型应用效果。

任职资格：

1. 计算机科学、电子工程、统计学或相关领域的硕士学位。
2. 至少3年以上在机器学习或AI领域的实际工作经验，有制造业或电池生产相关经验者优先。
3. 熟悉机器学习和深度学习算法，具备多模态数据处理与应用开发经验者优先。
4. 熟练掌握Python、TensorFlow、PyTorch等常用的机器学习框架和工具。
5. 具备处理表格数据、时序数据和图像数据的能力，并能够将这些数据应用于具体的模型开发。
6. 良好的沟通能力和团队协作精神，能有效与跨职能团队合作。
7. 具备良好的问题解决能力和学习新技术的意愿。

Responsibilities:

1. Cooperate with senior AI/ML engineers to develop downstream applications based on multi-mode battery basic large model.
2. Participate in the development and optimization of multiple specific application models, including cell quality assessment model, production process optimization model, cell design optimization model, cell performance prediction model and cell design generative model.
3. Assist in implementing and optimizing data processing pipelines to ensure data accuracy and consistency to support downstream application development.
4. Apply machine learning and deep learning technology for model training, verification and optimization.
5. Analyze and process complex data sets, extract key features to improve model performance and application effect.
6. Assist cross-functional teams to understand business requirements and develop corresponding technical implementation plans.
7. Continue to track the latest technological development and help introduce cutting-edge methods to improve the application effect of the model.

Qualifications:

1. Master's degree in computer science, electrical engineering, statistics or related field.
2. At least 3 years of practical working experience in machine learning or AI field, manufacturing or battery production experience is preferred.
3. Familiar with machine learning and deep learning algorithms, multi-modal data processing and application development experience is preferred.
4. Proficient in Python, TensorFlow, PyTorch and other commonly used machine learning frameworks and tools.
5. Have the ability to process tabular data, time series data and image data, and can apply these data to specific model development.
6. Good communication skills and team spirit, able to effectively work with cross-functional teams.
7. Good problem-solving skills and willingness to learn new technologies.

Senior Battery AI/ML Engineer

Responsibilities

• Build a data-driven model of battery based on electrochemical knowledge and test data

• Develop battery BMS related algorithms, including but not limited to battery state estimation and battery behavior estimation

• Provide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization

• Work with a team to develop, deploy, test and maintain battery algorithms

• Cooperate with the team to design the battery pack according to the model requirements, including the number of sensors and deployment location, etc

• Responsible for the overall framework design of battery algorithm deployment

Qualifications

• Master degree or above, machine learning, AI, and big data related education background

• More than five years of battery related work experience, familiar with battery pack design and data

• Familiar with various battery related models/algorithms

• Experience in battery management system (BMS) algorithm development

• Practical experience based on AI, big data battery algorithm, and cloud BMS

Battery AI/ML Engineer

Responsibilities

• Build a data-driven model of battery based on electrochemical knowledge and test data

• Develop battery state estimation algorithms, including but not limited to SOC, SOH, SOP

• Develop battery behavior prediction methods, including but not limited to residual life prediction and battery safety prediction

• Provide novel battery management system solutions to optimize battery performance, including but not limited to charging process optimization, discharge capacity optimization and cycle life optimization

• Work with a team to develop, deploy, test and maintain battery algorithms

• Write relevant technical documents

Qualifications

• Master's degree or above, machine learning, AI, and big data related education background

• More than one year battery related working experience, understand battery data

• Have a certain understanding of the traditional battery management system (BMS) algorithm model

• Practical experience in AI and big data battery algorithm

• Experience in battery physical model building (P2D model) and digital twin development is preferred

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

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

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

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

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

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

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

What Success Looks Like

Product Vision & Strategy

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

Build & Ship

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

Execution & Leadership

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

Who You Are

Product DNA

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

Builder DNA

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

Bonus Points

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

What We Offer

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

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