Programme duration: From 3-6 months, starting in 2026.  

Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute to one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.  

Trading  

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.  

• Technical assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.   

• Interviews - Shortlisted applicants will proceed to interviews conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities
• Share and discuss research results, methodology, data sets and processes with other researchers
• Implement the signals and the relevant datasets within the global execution platform
• Monitor signal behaviour and model performance over time
• You would lead the full strategy research cycle from signal generation to implementation

Your present skillset

• Direct experience as a quant researcher or trader, or in data science/machine learning space.
• Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead.
• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#)
• Experience in exploring large datasets across multiple time frames is a plus
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields
• Capacity to work with autonomy within a collegial and collaborative environment
• Strong capacity to communicate with technologists, data scientists and traders across the globe
• Proven track record in delivering successful systematic strategies

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

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

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

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

ABOUT THE ROLE:

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

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

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

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

WHO WE ARE LOOKING FOR:

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

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

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

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

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

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

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.

As a Software Developer Intern at Optiver, you’ll work alongside experienced engineers to develop innovative solutions that enable us to respond to the financial markets at lightning-fast speeds. In just a few weeks, you could develop applications that contribute towards our trading success.

By the end of the 8-week internship, you’ll have deepened your understanding of how technology is used in the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Graduate Software Developer.

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 manage a project from end-to-end, learn how to work with a complex code base and make impactful contributions to production systems. You’ll get to work on real trading and IT problems, both technically and functionally, to improve our trading success.

You will also be able to build the compute platform and libraries for large scale machine learning model training and simulation workloads. You will have first-hand experience on applying the latest AI technology to quantitative trading problems.

Throughout the program, you will 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 who are graduating in 2027 or after 2026 September.

• Studying a Computer Science, Computer/Software/Electrical/Mechatronic Engineering or similarly technical degree.

• Knowledgeable about object orientated design and development concepts (experience with C++, C#, Python or Java is required for our technical assessment). 

• Understanding of the concepts underlying machine learning and deep learning technologies, and experience with modern deep learning frameworks such as TensorFlow, PyTorch etc

• 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.

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

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.

The Impact You’ll Be Contributing to Moloco:

• Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Data Scientist, Growth Analytics intern, you will work with data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

The Opportunity:

• Moloco Data Scientist, Growth Analytics interns contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. 
  • Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
  • Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
  • Campaign optimization: engaging in the life cycle of campaigns, from monitoring  daily performance to partnering with sales teams on bespoke analysis for clients.
  • Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.  

How Do I Know if the Role is Right For Me?

• Current student in a Bachelor's or Master’s program and able to complete an internship of at least 6 months.
• Statistics: must have strong knowledge and experience in experimental design,  hypothesis testing, and various statistical analysis such as regression or time-series analysis.
• Programming: experience in Python and SQL is required.
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders..
• Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
• Work effectively with cross-functional and cross-cultural partners.
• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.

* This internship is targeted for this summer term or earlier.
* This position does not support work-from-home arrangements.

The Impact You’ll Be Contributing to Moloco:

• Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Data Scientist, Growth Analytics intern, you will work with data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco.

The Opportunity:

• Moloco Data Scientist, Growth Analytics interns contribute in the following areas, all while working cross-functionally to help meet our client’s needs and advance our machine learning models. 
  • Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You’ll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale.
  • Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data.
  • Campaign optimization: engaging in the life cycle of campaigns, from monitoring  daily performance to partnering with sales teams on bespoke analysis for clients.
  • Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth.  

How Do I Know if the Role is Right For Me?

• Current student in a Bachelor's or Master’s program and able to complete an internship of at least 6 months.
• Statistics: must have strong knowledge and experience in experimental design,  hypothesis testing, and various statistical analysis such as regression or time-series analysis.
• Programming: experience in Python and SQL is required.
• Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs.
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and less technical stakeholders..
• Ability to build positive relationships within the data science & analytics community, as well as with our business stakeholders and clients.
• Work effectively with cross-functional and cross-cultural partners.
• Have an interest in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Know when to apply statistical measurement vs 80-20 analysis for business growth.
• Ability to manage multiple projects at the same time while paying attention to detail.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks.

* This internship is targeted for this summer term or earlier.
* This position does not support work-from-home arrangements.

The Impact You’ll Be Contributing to Moloco:

Moloco is seeking a strong communications leader to help build and execute our APAC communications strategy across both external and internal programs.

As Moloco continues to rapidly grow and add prominent customers, strong talent, and new technology capabilities, how we show up in key APAC markets will shape our regional reputation and our ability to attract and retain the best talent across the region. We're looking for someone who brings both big-picture narrative thinking and hands-on craft; someone who is equally comfortable crafting narratives, coaching leaders, pitching journalists directly, and managing complex agency partnerships across multiple markets.

This role requires someone who believes that external and internal communications are two sides of the same coin, and who has both the global perspective and the local market fluency to bring that belief to life across a diverse and dynamic region.

In this role, you will go beyond traditional PR to create a dynamic, creative approach to regional storytelling: shaping narratives through earned media, executive thought leadership, owned content, and strategic partnerships, while ensuring employees across the region feel informed, connected, and aligned with Moloco's global strategy.

This role partners closely with key leaders across the region and the broader organization, and reports to Moloco's Head of Communications.

The Opportunity:

• Help define and own Moloco's APAC communications strategy, leading the day-to-day of our external and internal communications programs across the region and evolving the function as the company scales.
• Partner with senior leaders across the region on communications strategy, coaching them on how to share Moloco's story effectively with both external audiences and internal teams.
• Build a modern regional external communications strategy that combines earned media, owned content, social and influencer engagement, and strategic storytelling partnerships tailored to local market dynamics.
• Localize and implement internal communications programs that connect APAC employees to the broader organization, reinforcing culture, strategy, and a sense of shared momentum.
• Personally pitch and cultivate relationships with journalists, analysts, and influencers across key APAC markets and beats.
• Manage and optimize agency relationships across multiple markets, ensuring message consistency while adapting to local dynamics.
• Navigate cultural and regulatory differences in communications approaches across APAC, with particular fluency in key markets including Korea and China.
• Anticipate issues and coordinate across Communications, Legal, and regional leadership to ensure timely, accurate, and trusted communications in a fast-moving, high-stakes environment.
• Oversee local reputation-critical communications and serve as primary regional spokesperson when needed

How Do I Know if the Role is Right For Me?

• 8-10 years of strategic communications experience, with significant experience spanning both external and internal communications at a high-growth or public tech company.
• Proven track record leading communications in APAC markets, with deep understanding of regional media landscapes, cultural nuances, and local market dynamics — particularly across Korea and/or China.
• Demonstrated B2B communications expertise, with the ability to reach technical buyers, business decision-makers, and C-suite executives across global markets.
• Experience running both external and internal communications as an integrated discipline, with clear impact on brand reputation, media presence, and employee alignment.
• Active media relationships and exceptional writing ability, with a willingness to personally execute high-priority initiatives alongside managing the broader function.
• High judgment and discretion, with experience navigating sensitive communications in a fast-moving, high-stakes environment.
• Genuine curiosity about AI and how it's changing the way we work, as well as an eagerness to bring that curiosity into how we build and run our communications function.

The Opportunity 

Moloco is a machine learning-powered performance advertising platform trusted by top mobile marketers to deliver real business outcomes. As we expand our creative capabilities, we’re looking for a strategic, hands-on Lead Designer to drive best-in-class creative execution across ad formats for top-tier mobile gaming and app clients. 

As Lead Designer, you will set the bar for visual quality, creative performance, and design efficiency across Moloco Studio’s ad creative output and collaborate closely with performance marketers, product managers, and data scientists to deliver high-performing campaigns at scale.

You will also help with creative project management, ideating new ad concepts, managing timelines, and ensuring quality across both internal and outsourced production pipelines. This role requires strong communication, creative judgment, and organizational skills as you brief and manage external vendors while continuously improving internal workflows. You will play a key role in developing scalable systems, piloting innovative creative formats, and identifying opportunities to evolve our team structure and creative strategy.

To be considered for this position, you must include your resume and portfolio.

Key Responsibilities

• Own and lead the end-to-end design process of high-performing ad creatives (static, video, playables), while setting creative direction and ensuring alignment with performance goals
• Champion creative best practices, advocate for innovation in ad formats, and guide team-wide design quality and experimentation
• Manage timelines and deliverables across in-house and outsourced creative projects
• Brief, review, and QA work from vendors and freelance partners
• Develop new ad concepts informed by game genre, audience, and campaign goals
• Monitor creative performance (IPM, ROAS, CTR) and iterate based on data
• Create and maintain reusable templates, style guides, and visual systems
• Collaborate with Sales, Product, and DS to align on strategy and priorities
• Identify workflow inefficiencies and drive the adoption of tools or systems, such as automation or testing platforms, to improve creative productivity and scalability.
• Mentor designers and contribute to hiring and onboarding efforts

Minimum Qualifications

• 7 years of design experience in performance marketing, mobile gaming, or ad creative production (Video, Static, Playables)
• Proven experience managing projects from concept through delivery, with the ability to balance creative direction and executional detail
• Hands-on expertise with Adobe Creative Suite (Photoshop, Illustrator, After Effects, Premiere)
• Experience collaborating with or managing third-party vendors or freelancers on video and interactive creative production
• Strong understanding of KPIs like IPM, ROAS, CTR, retention, and how they influence creative decisions
• A high-quality portfolio showcasing performance-oriented ad creatives (videos, playables, end cards, statics)
• Track record of driving creative outcomes through leadership, stakeholder alignment, and collaborative problem-solving
• Ability to give and receive feedback constructively; values mentorship and team growth

Preferred Qualifications

• Prior experience at a DSP, mobile game publisher, or ad tech company
• Experience managing creative production across multiple vendors, geos, and formats
• Familiarity with marketing operations platforms (Asana, Confluence, Box) and performance analytics tooling
• Exposure to automation or creative AI platforms like Alison.ai, Replai, Creatify, Pencil, etc
• Excellent communication, presentation, and organizational skills with experience working cross-functionally
• Experience mentoring  designers or contributing to hiring and team growth strategy
• Understanding of localization workflows and creative formats across CTV, ASO, or UA channels
• Familiarity with A/B testing frameworks and creative optimization cycles within UA campaigns
• Experience working with game trailers, gameplay captures, or playables optimized for performance marketing

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

THE ROLE 岗位职责: 

WorldQuant is seeking exceptional individuals to join the firm as a Data Science Intern. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.

• Perform analysis and generate models of financial datasets using machine learning techniques
  运用机器学习的方法分析并构建金融数据模型
• Verify the integrity of unstructured data and turn data into potentially valuable insights
  验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见
• Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques
  应用各种算法技术开发并构建可尝试预测金融市场波动的数据

WHAT WE OFFER 你将会获得:

• Join our established mentoring program and receive one-on-one guidance by an accomplished advisor during the internship
  完善的导师培训机制、一对一师从资深从业者
• Competitive internship compensation
  有竞争力的实习薪资
• Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices.
  国际化视野，与WorldQuant 全球各地多个团队共事、交流
• Flexibility of self-managed work progress, comfortable working environment, and rich employee activities
  灵活自主安排工作进度，舒适的办公环境及丰富的员工活动

WHAT YOU'LL BRING 你需要具备:

• Pursuing a Master's or PhD degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
  正在攻读相关领域的硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等）
• Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix
  熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统
• Research experience in Deep Learning, NLP, and/or LLM is a plus
  有深度学习、自然语言处理和/或大语言模型等研究经验者优先
• Good English reading and writing skills
  良好的英语读写能力

If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQChinaIntern@worldquant.com
如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQChinaIntern@worldquant.com

The position is based in our research office in Beijing or Shanghai.
预期工作地点为北京或上海的研究办公室。

THE ROLE 岗位职责: 

WorldQuant is seeking exceptional individuals to join the firm as a Data Scientist. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets.

• Perform analysis and generate models of financial datasets using machine learning techniques
  运用机器学习的方法分析并构建金融数据模型
• Verify the integrity of unstructured data and turn data into potentially valuable insights
  验证非结构化数据的价值并将数据转化成潜在的高质量的市场洞见
• Develop and create data that seek to predict the movement of financial market by applying variety of algorithmic techniques
  应用各种算法技术开发并构建可尝试预测金融市场波动的数据

WHAT WE OFFER 你将会获得:

• Competitive compensation
  有竞争力的薪资
• Join our established mentoring program and receive one-on-one guidance by an accomplished advisor 
  完善的导师培训机制、一对一师从资深从业者
• Develop a global vision with opportunities to exchange ideas with various teams in WorldQuant global offices.
  国际化视野，与WorldQuant 全球各地多个团队共事、交流
• Flexibility of self-managed work progress, comfortable working environment, rich employee activities, and generous employee benefits
  灵活自主安排工作进度，舒适的办公环境、丰富的员工活动及优渥的员工福利

WHAT YOU'LL BRING 你需要具备:

• Pursuing a B.S., M.S. or Ph.D. degree from a leading university in related fields (e.g. Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering, Big Data)
  正在攻读相关领域的本科、硕士或博士学位（例如电子工程，物理，计算机科学，数学，金融工程, 大数据等）
• Candidates should be graduating in 2025 or 2026
  候选人需于2025年或2026年毕业
• Demonstrated ability of at least one programming language, e.g. C++, python, etc.; familiar with systems like Linux/Unix
  熟练掌握至少一种编程语言，如C++、python等； 熟悉Linux/Unix等操作系统
• Research experience in NLP, Deep Learning is a plus
  有自然语言处理、深度学习、人工智能等研究经验者优先
• Good English reading and writing skills
  良好的英语读写能力

If any issues encountered accessing the online application webpage or if you have any questions, please mail your latest CV to or contact us at WQBJQuantJobs@worldquant.com
如无法浏览在线申请网页或您有任何疑问，请将您的简历或问题发送至 WQBJQuantJobs@worldquant.com

The position is based in our research office in Beijing or Shanghai.
预期工作地点为北京或上海的研究办公室。

Key Skills & Requirements:

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

Key Skills & Experience:

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

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.

What You’ll Do

• Leadership & Strategy
  • Establish the AI Lab's technical vision and long-term roadmap aligned with cutting-edge research and internal innovation goals.
  • Build a world-class team of AI researchers, engineers, and applied scientists.
  • Foster a strong culture of experimentation, ownership, and high-impact delivery.
• Technical Direction
  • Drive exploration into areas such as deep learning, foundation models, generative AI, reinforcement learning, and novel model architectures.
  • Oversee design and deployment of experimental AI systems, both for proof-of-concept and strategic long-term application.
  • Collaborate with domain experts to identify high-value, AI-native opportunities.
• Team Development
  • Attract and mentor top-tier talent from academia and industry.
  • Design internal processes for research sharing, experimentation, and review.
• Collaboration
  • Partner with internal stakeholders across research, trading, and technology to ensure alignment where needed while preserving the lab’s independence and vision.
  • Represent the lab externally in the AI community and conferences.

What We’re Looking For

• Technical Excellence
  • PhD or equivalent experience in Computer Science, AI, Machine Learning, or related field.
  • Deep expertise in modern ML techniques (e.g., deep learning, transformers, RL, generative models).
  • Proven track record of research, publications, or system-level innovation.
• Startup Mindset with Big-Tech Rigor
  • Comfortable working in ambiguous, open-ended environments.
  • Ability to balance long-term vision with milestone-driven progress.
• Communication & Collaboration
  • Clear, compelling communicator who can inspire and influence across disciplines.
  • Strong ability to present complex ideas to both technical and non-technical audiences.

 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.

Ready to accelerate your growth in one of the most fascinating and dynamic industries? Our Research Summer Internship program will give you real insights into how data and research is used to improve global financial markets. Expand your knowledge of the financial markets and solve challenging problems that could impact the way we trade. Plus, if you’ve excelled over the summer and shown us your potential, you could receive an offer to join us as a graduate quantitative researcher.

With Optiver’s internship program, your work improving the market starts today.

Who we are:

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 close to 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 35+ 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. 

What you’ll do:

As a Quantitative Research Intern, you’ll work with our researchers and traders on real-life research projects, that directly impact the way we trade. Our quantitative researchers are responsible for the accuracy of our core pricing models. They work closely with our traders to analyse and improve all facets of our trading strategies.

As part of the internship, you’ll get to:

• Perform extensive analysis in order to implement new algorithms that support and improve our existing models.
• Develop risk management and portfolio optimisation tools to improve our execution algorithm.
• Work with petabytes of low latency, high-frequency market data sets.
• Collaborate with our developers to test and drive changes to our trading system, that will improve our ability to make successful trades.
• Keep up to date on the latest development of new models and technologies
• No previous experience in trading or financial markets? You bring the passion and we'll have the training to support you along the way 

Who you are:

• PhD student, who will graduate during 2028.
• Major in a highly quantitative field.
• Strong knowledge of probability and statistics, experience in machine learning and time-series analysis is a big plus.
• Programming experience in any language (C, C++, Python, JAVA, etc.), ideally with a preference towards Python.
• Ability to carry a project on your own in a structured way within a short timeframe.
• Experience in working with large datasets.
• Both a self-motivated contributor and a team player, with an entrepreneurial attitude and hunger for success.
• Interest in the trading/quantitative finance industry.

What you’ll get:

• The chance to work alongside diverse and intelligent peers in a rewarding environment.
• Competitive remuneration, including an attractive bonus structure and additional leave entitlements.
• 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, 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. 

Questions? Check out our internship and graduate FAQs or get in touch with the team at chinacareers@optiver.com.au.

How to apply:

If you’re interested in taking your career to the next level and work on one of the most exciting trading floors in China mainland, apply now via the form below. 

While we love how bilingual our teams are, be sure to submit the below application materials in English:

• Resume
• Academic transcripts, including Bachelors and Masters and PhD if any

For any other inquiries, please email chinacareers@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.

WHAT YOU’LL DO:
As a data scientist in our options market making team, you will play a key role in improving our trading strategies through rigorous data-driven analysis. You’ll take a scientific approach to understanding how our systems perform in live markets—developing hypotheses, building experiments, and using advanced analytics to uncover opportunities for improvement.
You’ll work with large-scale production trading data to identify patterns, test ideas, and evaluate strategic changes. This may include leveraging statistical modeling, machine learning techniques, and other quantitative methods to better understand market dynamics and strategy behavior.
You’ll collaborate closely with traders and engineers, but your work will be rooted in independent thinking, analytical rigor, and a strong focus on real-world impact.

WHO YOU ARE:

• Strong research skills with a scientific mindset and a passion for solving real-world problems with data.
• Proficient in Python for data analysis and prototyping; familiarity with C++ is a plus.
• Experience applying machine learning or statistical modeling techniques to complex systems or noisy data.
• Excellent critical thinking and attention to detail.
• Effective communicator who can challenge ideas constructively, explain reasoning clearly, and collaborate across teams.
• Prior experience in trading or financial markets is a plus, but not required.

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.

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

We are looking for a Senior Quantitative Researcher with deep expertise in Delta One equities trading to join our Shanghai team. In this role, you will own the full lifecycle of systematic trading strategies and directly impact trading performance in live markets. You can expect to:

• Lead alpha research: define ideas, discover signals, and decide what’s worth pursuing
• Build and validate models: develop predictive models and ensure they are robust through rigorous backtesting
• Construct portfolios: combine signals, manage risk exposures, and optimize for costs and capacity
• Drive production & execution: own the team performance ensure strategies are implemented, tradable, and aligned with real market conditions

WHO YOU ARE

You are a highly driven and collaborative researcher with a strong track record in systematic equity trading and a passion for solving complex problems in fast-moving markets.

Additionally, as part of our team you’ll need:

• 5+ years of experience in quantitative research or trading within equity markets
• A strong research mindset, with hands-on experience applying machine learning / deep learning techniques to financial data
• Proven ability to generate original ideas and take them from concept to production
• Experience working with large-scale datasets and data pipelines

WHAT YOU’LL GET

• The chance to work alongside best-in-class professionals
• Training, mentorship and personal development opportunities
• Daily office breakfast, lunch, snacks etc.
• Sponsored 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, 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.

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 Optiver China Privacy Notice for acknowledging how we collect and process your personal information.

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.

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.

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

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

As a Staff Systems Engineer in Developer Platform, you will partner with leaders of multiple platform teams. You will work closely with product to define and implement simple solutions to complex orchestration problems, building a highly scalable, reliable, and efficient platform for our customers. You will engineer and develop Kubernetes controllers, operators, and node-level daemons for the application runtime; drive performance tuning and scaling; and design multi-cluster control-plane capabilities that scale to millions of pods across thousands of clusters.

What You Will Do

• Engineer and develop a unified application platform for hybrid (multi-cluster, multi-region, multi-cloud) application management using Kubernetes controllers and feedback-driven control systems to meet SLOs.
• Deliver end-to-end automation for application lifecycle (deployments, rollouts, failovers, policy enforcement) to minimize manual work for users.
• Drive fleet-wide optimization for cost, performance, and latency through data-informed controls and capacity management, improving $/RPS and tail latency.
• Build resilient, multi-tenant control planes and workflows that safely scale to millions of pods across thousands of clusters.
• Ensure reliability, security, and governance with clear guardrails, safe defaults, and automated remediation.
• Partner with product and customers to turn complex orchestration problems into simple, reusable platform primitives and great developer experiences.
• Champion observability and continuous improvement with measurable, outcome-focused metrics.

Basic Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Math, or a closely related field (or equivalent experience)
• 10+ years in backend software development and operations
• Recent experience designing and operating large-scale distributed systems (last 3 years) • Fluency in one or more among Go, C/C++, Python, or Java
• Proven track record of delivering mission-critical systems
• Experience with cloud computing using AWS or Azure or GCP

Preferred Qualifications

• Kubernetes API machinery and semantics: SSA, SMP, server-side dry-run, watches/informers/listers, rate-limited workqueues, finalizers, owner references, leader election, API Priority and Fairness
• Controllers/operators and node daemons in Go: client-go/controller-runtime, reconciliation patterns, backoff and retry, idempotency, partitioned/sharded controllers, HA and failover
• CRDs and webhooks: versioning, conversion functions/webhooks, validating/mutating admission webhooks, policy frameworks and best practices
• Pod/runtime semantics: sidecars, init/ephemeral containers, probes (readiness/liveness/startup), lifecycle hooks, termination behavior, PDBs, QoS classes, ResourceQuota/LimitRange, topology spread, affinity/anti-affinity
• Scaling systems: HPA (resource/custom/external metrics), VPA, cluster autoscaler; multi-dimensional scaling, health-aware/autopilot-style policies; external metrics adapters and SLO-driven scaling
• Federated and multi-cluster: placement/propagation, failover, drift detection, reconciliation strategies; consistent hashing and partitioning for scale
• Distributed systems: CRDTs and eventual consistency paradigms; Raft/memberlist/gossip; deep familiarity with etcd, Kafka, Redis and their operational characteristics (compaction, backpressure, retention, failover)
• Observability and data: Prometheus (cardinality control, recording rules), tracing; experience with vector databases for search and diagnostics; strong time-series forecasting (classical + ML) and statistical modeling for proactive optimization
• Languages and interfaces: Go (primary), Java/Python as needed; gRPC/protobuf; JSON/YAML/Jsonnet
• Leadership: ability to handle multiple competing priorities in a fast-paced environment and lead the delivery of large-scale services for complex business offerings

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://www.coupang.jobs/privacy-policy/ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

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.

As a Staff Systems Engineer in Developer Platform, you will partner with leaders of multiple platform teams. You will work closely with product to define and implement simple solutions to complex orchestration problems, building a highly scalable, reliable, and efficient platform for our customers. You will engineer and develop Kubernetes controllers, operators, and node-level daemons for the application runtime; drive performance tuning and scaling; and design multi-cluster control-plane capabilities that scale to millions of pods across thousands of clusters.

What You Will Do

• Engineer and develop a unified application platform for hybrid (multi-cluster, multi-region, multi-cloud) application management using Kubernetes controllers and feedback-driven control systems to meet SLOs.
• Deliver end-to-end automation for application lifecycle (deployments, rollouts, failovers, policy enforcement) to minimize manual work for users.
• Drive fleet-wide optimization for cost, performance, and latency through data-informed controls and capacity management, improving $/RPS and tail latency.
• Build resilient, multi-tenant control planes and workflows that safely scale to millions of pods across thousands of clusters.
• Ensure reliability, security, and governance with clear guardrails, safe defaults, and automated remediation.
• Partner with product and customers to turn complex orchestration problems into simple, reusable platform primitives and great developer experiences.
• Champion observability and continuous improvement with measurable, outcome-focused metrics.

Basic Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Math, or a closely related field (or equivalent experience)
• 10+ years in backend software development and operations
• Recent experience designing and operating large-scale distributed systems (last 3 years) • Fluency in one or more among Go, C/C++, Python, or Java
• Proven track record of delivering mission-critical systems
• Experience with cloud computing using AWS or Azure or GCP

Preferred Qualifications

• Kubernetes API machinery and semantics: SSA, SMP, server-side dry-run, watches/informers/listers, rate-limited workqueues, finalizers, owner references, leader election, API Priority and Fairness
• Controllers/operators and node daemons in Go: client-go/controller-runtime, reconciliation patterns, backoff and retry, idempotency, partitioned/sharded controllers, HA and failover
• CRDs and webhooks: versioning, conversion functions/webhooks, validating/mutating admission webhooks, policy frameworks and best practices
• Pod/runtime semantics: sidecars, init/ephemeral containers, probes (readiness/liveness/startup), lifecycle hooks, termination behavior, PDBs, QoS classes, ResourceQuota/LimitRange, topology spread, affinity/anti-affinity
• Scaling systems: HPA (resource/custom/external metrics), VPA, cluster autoscaler; multi-dimensional scaling, health-aware/autopilot-style policies; external metrics adapters and SLO-driven scaling
• Federated and multi-cluster: placement/propagation, failover, drift detection, reconciliation strategies; consistent hashing and partitioning for scale
• Distributed systems: CRDTs and eventual consistency paradigms; Raft/memberlist/gossip; deep familiarity with etcd, Kafka, Redis and their operational characteristics (compaction, backpressure, retention, failover)
• Observability and data: Prometheus (cardinality control, recording rules), tracing; experience with vector databases for search and diagnostics; strong time-series forecasting (classical + ML) and statistical modeling for proactive optimization
• Languages and interfaces: Go (primary), Java/Python as needed; gRPC/protobuf; JSON/YAML/Jsonnet
• Leadership: ability to handle multiple competing priorities in a fast-paced environment and lead the delivery of large-scale services for complex business offerings

Privacy Notice​ 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/ 

WHO WE ARE LOOKING FOR:

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

WHAT YOU WILL BE DOING:

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

WHAT YOU BRING TO THE TABLE:

NON-TECHNICAL QUALIFICATIONS:

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

TECHNICAL QUALIFICATIONS:

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

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

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.

What you will be doing:

Key responsibilities

As a Data Engineer Intern, your role will encompass:

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

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

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

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

● Help securing delivery on projects with Data Engineer

● Communicating the success of projects among the company

● Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs

● Ensuring that your solutions are bringing values to the client problematic

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

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

Being a great tech person

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

● Researching and developing new technical approaches to address problems efficiently

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

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

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

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

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

Qualifications :Education and Experience

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

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

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

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

● BigQuery/ Redshift, Devops and Javascript is a plus

About Us 

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.  

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.  

We have 2000+  employees across 36 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. 

About The Role  

Key Responsibilities 

As a Data Scientist Intern, your role will encompass: 

• Apply machine learning algorithm to solve business problem 
• Develop and industrialize AI model with cloud service  
• Conduct quantitative and qualitative analyses of clients’ data to generate actionable insight 
• Securing delivery on your projects 
• Communicating your work and achievements among the team 
• Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs 
• Ensuring that your solutions are bringing value to the client 
• Being a good team player, knowing your role and responsibility in the global ambition 

What we are looking for 

• Currently pursuing a BA/BS or MA/MS in machine learning, mathematics, computer science, or related fields ( statistics, business analytics, engineering, economics, or a related field) from an accredited college or university. 
• Experience (internship, school project, Junior Enterprise, etc.) in consulting and/or data ecosystem would be a plus. 
• Good understanding of the digital and data ecosystem and its technologies: machine learning, business analytics, data warehouse(lake), programmatic, DataViz and etc.  
• Having knowledge on cloud services (AWS, Azure, GCP, AliCloud) and Martech(CDP, DMP) would be a plus. 
• Intellectual curiosity, along with excellent problem-solving skill, including the ability to disaggregate issues, identify root causes, and recommend solutions 
• With a practical and analytical mindset, you will be passionate about the creation of bespoke solutions for our clients 
• Good Communication skills 
• Ideal candidates should be passionate about using business acumen along with big data and analytics to address real-world problems and drive significant change. 

SH office address : The Roof, Building D, 2nd Floor, No. 458 Madang Road, Huangpu Shanghai 

Our Belief 

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society. 

Our Mission 

We are on a mission to build the next generation of data leaders who:   

Fully capture the power of data & digital to deliver business value;

Bring understanding, trust & transparency of data into our society. 

Our Values 

• Collaboration : People of different background and expertise working closely together; 
• Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations; 
• Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data; 
• Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality. 

Our Unique Attributes 

• We bring great value to business and create a better society with the understanding, transparency and ethical use of data ; 
• We build the next generation of data leaders ; 
• We disrupt the market : 
• Data Native - Born with data and defining data ; 
• ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ;  
• One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
• End to End - Capabilities from Strategize to Build to Run. 

Visit our website at www.artefact.com or follow us on WeChat. 

About Us

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 1000 employees across 18 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

About The Team

The most tech people of our Data & Consulting division, the title of ‘Data Engineer’ or ‘Software Engineer’ does not describe everything our amazing women and men can do: data engineering, operation management, security, cloud architecture, MLOps, and more.

You will work with the team to identify your clients' needs and define innovative solutions of which you will be ownership from start to end. You manage both its conception and implementation, while also optimising the performance and scalability.

You will also coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Ali Cloud & Azure & Amazon. You share your knowledge, learnings and success, with the capability of presenting and communicating.

About The Role

Key Areas of Responsibility 

• Securing delivery on your projects  
• Ensuring that your solutions are bringing values to the client problematic 
• Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring  
• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently 

Competences & Skills

• Bachelor Degree or Above in Computer Science, Statistics, Software Engineering, or related field 
• 5 to 8 years of experience in a Software and Big Data system development 
• Experience with technical team management (be capable to manage team with size of 2 -3 people above)
• Proficiency with data pipeline building, ETL, open source or traditional relational databases.  
• Proficiency with analytic software programming skills
• Familiarity with Web Development (e.g. Java Spring framework) and Application Development (e.g. APP, H5, Mini Program). 
• Experience with data science methods and scaling data science methods 
• Analytic reasoning and complex problem solving involving mathematical programming and big data problems 
• Experience with Docker, Kubernetes, CI/CD, Terraform, Cloud service (Ali Cloud, Azure, AWS)
• Experience with client service and project management
• Must be Fluent in English communication

Our Belief

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society.

Our Mission

We are on a mission to build the next generation of data leaders who: 

• Fully capture the power of data & digital to deliver business value ;
• Bring understanding, trust & transparency of data into our society.

Our Values

• Collaboration : People of different background and expertise working closely together;
• Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations;
• Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data;
• Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality.

Our Unique Attributes

• We bring great value to business and create a better society with the understanding, transparency and ethical use of data ;
• We build the next generation of data leaders ;
• We disrupt the market :
• Data Native - Born with data and defining data ;
• ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ;
• One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
• End to End - Capabilities from Strategize to Build to Run.

Who we are

What you will be doing: Key responsibilities

As a Senior Data Analyst, your role will encompass:

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
• Extracting valuable insights from our clients’ marketing-related data sources.
• Designing dashboards for marketing decision-making while taking into account the business needs
• Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
• Actively contributing to the expertise level and competencies of the Data & Analytics team
• Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

Being a great tech role model

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently
• Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
• Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & experience required

• Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :

  • A minimum of 3 year of work experience in a data-driven working environment
  • 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
  • 1 or 2 programming languages among SQL, Python and/or R.
  • 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...) 

  In addition, you have the knowledge in one or more of the following technologies:

  • Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
  • You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
  • Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)  
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized

  Ideally you have: 

  • Knowledge of statistics 
  • Knowledge of machine learning and data engineering

What we are looking for

• A Doer: you get things done and inspire your team to do the same
• An Analyst: you LOVE data and think every company should take their decisions based on facts
• A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
• A Mentor: your clients and colleagues naturally seek you out for advice
• An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

We’re expanding our successful global equity stat arb business with the build out of a new team of quantitative researchers focused on developing mixed-frequency (low/mid) strategies based out of Hong Kong. This team will leverage new and differentiated approaches to research and will be comprised with top talent across the fields of Quantitative Research, ML/LLM & Engineering.

What You'll Do: 

Quantitative Researchers collect and analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in global financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business teams to push for the best expression of our new ideas.

Skills You'll Need:

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems

• Proven experience developing successful quantitative trading strategies is highly preferred, though not required

• Demonstrable experience leveraging forecasting and machine learning techniques, such as linear regression analysis, neural networks or other state-of-the-arts models

• Bachelor, Masters or PhD in Computer Science, Statistics, Physics, Mathematics (or related subject)

• Strong programming skills in C++/python in a Linux environment 

• Desire to work within a collaborative, team-driven, fast-paced environment

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.

About Us

AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.

Job Duties 

As an AI Engineer, you will build the next generation of agentic AI research infrastructure. Working closely with our quantitative research team, you will push the frontiers of modern AI — with the rare advantage of real financial market feedback as your ground truth.

• Design and build a multi-agent framework for quantitative finance research
• Develop tools and deep integrations with AXQ's proprietary research infrastructure
• Research frontier model capabilities and develop rigorous agentic evaluations
• Partner with quantitative researchers to create best-in-class system observability, well-grounded research pipelines, and novel research ideation methods
• High-performing candidates may also contribute directly to model work, including post-training

Qualifications

• 2+ years of experience in software engineering, machine learning, AI research, or a related role
• Bachelor's, Master's, or PhD from a top-tier university in a quantitative or technical discipline (mathematics, physics, statistics, computer science, or similar)
• Strong foundation in statistics and machine learning fundamentals
• Deep, practical knowledge of agentic systems, pre/post-training evaluations, or related AI engineering domains
• Prior experience in quantitative finance is not required
• Self-motivated and highly productive, with a strong sense of ownership and a bias toward action

About Us

AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong. We pursue consistent alpha through rigorous scientific research and sustained investment in technology and data infrastructure. Our strategies are deployed across global markets, spanning multiple geographies, asset classes, and trading horizons.

Job Duties 

As a Machine Learning Researcher, you will develop ML/DL models to generate alpha from large-scale financial and alternative datasets. Working closely with portfolio managers and senior quantitative researchers, you will conduct research across a range of trading strategies within a fast, iterative research-feedback loop.

Qualifications

Below is a list of skills and experiences we believe are relevant. Even if you don’t consider yourself a perfect match, we still encourage you to apply because we are committed to helping our people grow and develop.

• Master’s or PhD from a top-tier university in a quantitative discipline (e.g., mathematics, physics, statistics, computer science, or related fields)
• Strong foundation in machine learning, statistics, and optimization, with deep expertise in at least one area such as time series modeling, NLP, or LLMs
• Strong communication skills and ability to collaborate effectively in a research-driven environment
• Experience with the Python scientific and ML ecosystem (e.g., NumPy, Pandas/Polars, PyTorch, TensorFlow)
• Proven ability to build and improve models that perform under noisy, non-stationary, and high-dimensional data conditions
• Intellectually curious, highly analytical, and driven to discover alpha in complex systems
• Self-motivated and highly productive, with strong ownership and a bias toward action
• Publications at top-tier venues such as NeurIPS, ICML, KDD, or IJCAI
• Strong track record in competitive ML platforms (e.g., Kaggle) or academic competitions
• Prior experience in quantitative research, systematic trading, or alpha signal generation

We're seeking a dynamic Business Development Manager to join our recruitment team focused on the crypto, blockchain, AI, and fintech trading sectors. This role involves expanding our network and securing new accounts, with the potential to engage in some 360 recruitment activities. The primary focus will be on driving business development initiatives, ensuring our growth as a platform for top web3 and emerging tech talent.

Responsibilities:

• Identify and pursue new business opportunities within the crypto, blockchain, AI, ML, and fintech industries.
• Develop and maintain strong relationships with industry partners and potential clients.
• Collaborate with the recruitment team to align business development strategies with company goals.
• Negotiate and close business deals that increase revenue and market presence.
• Participate in 360 recruitment activities as needed, ensuring seamless integration with business development efforts.
• Track and report on performance metrics to optimize business development activities.

Required skills:

• Preferably based in HK for Hybrid Work - we're mostly remote but work better with a few days onsite
• Proven experience in business development, in recruitment industry, able to onboard average 1-2 accounts per month (no regional restrictions), or source 5-10 new jobs per month.
• Strong understanding of the crypto, blockchain, AI, and/or fintech markets.
• Beyond excellent communication, negotiation, and influencing skills.
• Ability to build and maintain long-term professional relationships.
• Self-motivated with a strong track record of meeting and exceeding targets.
• Flexibility to adapt and engage in different facets of recruitment, including 360 activities.

What's in it for you...

• Vesting ownership of accounts post if you decide to leave
• Guaranteed income on deals under your accounts
• Start small, then grow big setup: You can join as a freelancer without too much commitment, once your accounts mature, you can join us full-time.
• Chance to leverage specialist recruiters in blockchain, fintech and banking to build your brand as a connector as well as knowledge transfer from the team and specialists within their networks (shared office setup with blockchain teams).

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.

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

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

Senior Battery Cell Modeling Scientist - Simulation

Responsibilities

• Responsible for building cell mathematical simulation models (physical models and data-driven models) to predict the performance of Li-ion batteries/Li-metal batteries under various working conditions, including dynamic performance, lifetime decay, electrochemical and thermal response, and safety-related cell behavior

• Design and advance experiments to obtain parameters/data required to build cell models

• Work with cross-functional teams to develop, deploy, test, and maintain models

• The electrochemical/thermal data of the cell under different working conditions are generated by using the certified physical model of the cell to provide data support for the establishment of the data-driven model

• Establish a standardized process for cell physical modeling to reduce the resources/time required for modeling

• Provide documentation related to model and algorithm development

• Work with the battery team to determine and achieve battery performance life goals

Qualifications

• Master’s degree or above, more than 5 years of battery related research/work experience

• Basic knowledge of cell electrochemistry (P2D), thermal, mechanical modeling and simulation. Familiar with electrochemical principle, simulation parameter measurement method and corresponding equipment

• Familiar with various battery-related models/algorithms, and have experience in using cell model software (COMSOL, Ansys, PyBaMM, etc.)

• Experience in building data-driven models (statistical analysis, machine learning, AI)

• Proficient in code development tools, such as Python or Matlab

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivizing collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

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*Candidates should be interested in working in Asia for their full-time job after graduation.

*INTERNATIONAL STUDENTS are encouraged to apply. 
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Who Should Apply?

• We are seeking researchers with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. 
• The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. 
• Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.
• No prior knowledge of finance or trading is necessary. We’ll give you the training that you’ll need.
  
• Other duties as assigned or needed.

Skills You'll Need: 

• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems with a pragmatic outlook
• Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
• Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX
• Proficiency in Python and/or C++
• Ability to thrive in a collaborative, team-oriented environment
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
• Reliable and predictable availability required

If you have outstanding skills in math, ML, and programming, and you are curious about the challenge of improving research with daily feedback from competitive markets, we hope you’ll apply.

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Jump Trading's Post Trade Analytics Team plays a crucial role in measuring and optimizing performance and trade execution across all global markets where the firm operates. This team is responsible for developing, operating, and maintaining performance measurement solutions, as well as conducting a wide range of post-trade analyses for various departments, including trading, business development, and other central teams. Daily, the team's core infrastructure collects, organizes, and stores billions of data points related to trading performance.

As a Data Scientist on the PTA team, you will conduct cutting-edge analyses on this extensive data to uncover competitive edges, answer complex business questions, and identify root causes of underperformance. This role offers a comprehensive view into Jump's business through the lens of data, along with the opportunity to develop both trading and technical expertise. Your work will significantly contribute to Jump's success by mining and enriching data to drive informed decisions and strategies. The ideal candidate will have the ability to work closely with and collaborate across trading and trading infrastructure teams. We are looking for an individual who is instinctively curious, self-driven, keen to dive into the complex trading world, and has demonstrated an ability to independently drive tasks and projects to completion in a team environment.

What You'll Do:

• Partner with trading teams to perform post trade analysis on trading performance, linking PnL metrics with latency and other infrastructure measurements
• Identify relationships between business metrics and changes in the infrastructure technology
• Conduct research for the purpose of modeling exchange performance
• Develop mathematical methodology to quantify the impact that specific internal applications have on general performance
• Design innovative alert detection algorithms to proactively detect new business opportunities, performance degradation or abnormal PnL-impacting events
• Participate in the building of new and innovative datasets
• Develop and improve quantitative research frameworks
• Other duties as needed

Skills You’ll Need:

• At least 5+ years of programming experience in Python with a data science and analytics focus
• Strong data intuition combined with a healthy skepticism for easy conclusions
• Excellent problem-solving abilities
• Experience in documenting and communicating analysis to both technical and business audiences, including members of the senior leadership team
• Background in statistics
• Experience with SQL is a plus.
• Practical experience with machine learning technics is a plus.
• Understanding of network protocols (IP, UDP, TCP, Ethernet) is a plus
• Reliable and predictable availability
• Shanghai based

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis, machine learning and deep learning skills, using the results of their research to make forecasts and develop profitable predictive trading models.

What You’ll Do: 

We are seeking research scientists with a demonstrated ability to apply deep learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetization process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.

Skills You’ll Need:

• At least 5+ years of experience in developing DL systems with measurable impact in industry and/or academia.
• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems.
• Proficiency in Python and/or C++.
• Strong foundation in mathematics and statistics.
• Ability to thrive in a collaborative, team-oriented environment.
• PhD, or Master's degree in Computer Science, Mathematics, (or related subject).
• Strong publications record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent.
• Reliable and predictable availability.
• Excellent written and verbal communication skills in English.