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

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

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

WHAT YOU’LL DO:

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

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

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

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

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

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

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

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

WHAT YOU’LL GET:

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

In addition, you’ll receive:

• A highly competitive remuneration package.

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

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

• Training, mentorship and personal development opportunities.

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

• Daily breakfast, lunch and in-house barista.

• Regular social events.
  
  

WHO YOU ARE:

• Students graduating in 2027 or later.

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

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

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

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

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

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

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

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

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

HOW TO APPLY:

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

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

• Resume

• Cover letter (optional)

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

DIVERSITY STATEMENT

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

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

PRIVACY DISCLAIMER

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

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

Role Overview

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

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

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

Key Responsibilities

· Customer Technical Engagement

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

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

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

· System-Level Debug & Validation Support

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

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

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

o Experience with firmware handling preferred

· Technical Documentation & Enablement

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

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

o Contribute to product documentation including datasheets and user guides

· Cross-Functional Collaboration

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

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

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

Basic Qualifications

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

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

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

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

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

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

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

Preferred Qualifications

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

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

· Background in signal integrity analysis and simulation

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

· Prior experience working with hyperscale or enterprise data center customers

· Knowledge of Ethernet consortium specifications and industry standards

WHAT YOU’LL DO

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.

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 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.

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

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/ 

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.

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.

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!

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. 

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

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

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.