About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

We are looking for a Machine Learning Scientist Intern to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.

We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.

[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]

Responsibilities

• Work on one of the following ML or LLM topics: user prediction, recommendation, agents, and chatbots.
• Collaborate closely with senior ML scientists to define ML problems, algorithm development, conduct evaluations, monitoring, and continuous optimization.
• Stay up to date with the latest research and proactively propose innovative applications.

About you

[Minimum qualifications]

• Bachelor's degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields. (Master's degree preferred)
• 2+ years of experience in ML or LLM.
• Proficient in Python.
• Proficient in one of the below
  1.Core ML and deep learning concepts: feature engineering, recommendation, regression, classification, clustering, etc.
  2.LLM applications development techniques: RAG, agent, chatbots.
• Able to evaluate models with systematic and quantitative analysis.
• Strong data intuition and familiarity with basic statistical concepts.

[Preferred qualifications]

• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity.

#LI-AK1

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Operations Program Management (OPM) Team

Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. As we scale our hardware operations, we are looking for a dedicated Materials Program Manager/Analyst to provide deep supply chain visibility, materials oversight, and financial reporting support for our OPM team — allowing our broader operations team to stay focused on strategic execution and uninterrupted supply continuity.

A day in the life (Responsibilities) 

• Supply Chain Tier Management: Partner with CMs on Clear-to-Build (CTB) analysis and provide visibility into materials supply, projected coverage, and constraints across supply chain tiers.
• Allocation Strategy & Reconciliation: Develop data-driven allocation strategies for supply-constrained environments and standardize material allocations between Toast and CM vendors to prevent shortfalls and miscommunications.
• Non-Standard Process & Inventory Oversight: Manage protocols for consigned inventory and non-standard material handling, including coordination of shipments, POs, and reconciliation for high-value components sourced through third-party brokers.
• Excess & Obsolete (E&O) Risk Management: Proactively identify E&O inventory risks and present mitigation plans to leadership; support EOL transitions and next-generation component integration roadmaps.
• Financial Reporting & Analytics: Act as the primary liaison for material reporting needs from Finance and Accounting, maintaining dashboards that provide cross-organizational visibility including PO cost tracking.
• Cross-Functional Alignment: Drive alignment with Demand Planning and Strategic Sourcing to optimize material allocation, reduce procurement costs, and support supply/demand decision-making.
• Work mode: Hybrid (2-3 days in Office)

What you'll need to thrive (Requirements)

• 5+ years of experience in supply chain, materials management, or operations within the semiconductor, PCBA, or contract manufacturing industry
• Demonstrated experience managing consigned inventory, third-party broker relationships, and multi-party purchase order coordination
• Proficiency in CTB analysis, materials planning, and supply/demand modeling
• Strong background in financial reporting and cross-functional collaboration with Finance and Accounting teams
• Experience developing allocation strategies in supply-constrained environments across multiple programs or lines of business
• Proven ability to identify and mitigate E&O and EOL risks at scale
• Excellent analytical skills with experience building and maintaining supply chain dashboards and reporting tools
• Strong communicator with the ability to synthesize complex materials data for both operational and executive audiences

Special Sauce (Nice to Haves)

• Experience working with memory components (DRAM, NAND) and familiarity with memory supply chain dynamics
• Background supporting hardware or IoT product supply chains
• Familiarity with Contract Manufacturing relationships
• Experience in a high-growth technology company managing supply chain complexity at scale
• Proficiency with ERP systems (e.g., SAP, Oracle) and supply chain analytics tools

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

【About the role】

We are looking for an experienced EE Consultant to serve as a key technical partner across design, quality, and product teams, helping define DQA standards and drive critical electrical design decisions. In this role, you will work closely with internal teams and ODM/CM partners to ensure robust hardware performance from prototype to mass production.

【 Who you are 】

• 10+ years of R&D experience in Surveillance or IoT Camera design.
• Proficient in power circuitry design with advanced troubleshooting and problem-solving skills.
• Deep knowledge of EMI / EMC / ESD; capable of risk assessment, design review, and debugging.
• Proven experience collaborating with ODMs and Contract Manufacturers.
• Able to commit ~16 hours per week during the project initiation phase (3-6 months).

【 What you'll do 】

• Define and optimize DQA (Design Quality Assurance) criteria and technical standards.
• Lead Electrical Design Reviews and drive technical decision-making in discussions.
• Oversee build stages from P0 through MP:
• Conduct internal validation and audit ODM technical reports.
• Perform troubleshooting and propose actionable hardware solutions.
• Execute RMA analysis to identify root causes and preventive measures.

Tenstorrent is seeking an Advanced Packaging Process Engineer with experience in 2.5D and 3D chiplet packaging to join Tenstorrent’s Packaging team. You will drive advanced package technology and reliability in close partnership with foundries and OSATs, helping push performance and manufacturability for next‑generation AI/ML products.

This role is hybrid, based out of Santa Clara, CA or Taipei City, TW.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who you are 

• Advanced packaging engineer with hands-on 2.5D/3D experience (CoWoS-R/L, FOCoS, EMIB, FCBGA, organic substrates, silicon interposers, embedded Si/eCB, micro-bumps, BGAs).
• Strong in reliability and failure analysis for advanced packaging, including qualification, root cause analysis, and corrective actions.
• Deep understanding of process flows and materials (polyimide, ABF, core, underfill, mold compound) and their interactions (warpage, stress, delamination, mechanical risk).
• Proven track record working with foundries/OSATs on NPI, design rules, excursions, yield/cost optimization, and production ramp, with clear communication and cross-functional collaboration.

What we need 

• Own advanced package technology implementation for 2.5D/3D chiplet products, including technology choices, process integration, and manufacturability.
• Act as primary technical interface to foundries/OSATs: align capabilities and design rules, manage excursions, drive yield, define/track test vehicles, and coordinate FA.
• Partner with design, reliability, and architecture teams to evaluate tradeoffs (bump pitch, stack-ups, embedded Si, etc.) and lead test vehicle planning to meet program needs.
• MS/PhD in a relevant field (Materials, Mechanical, Electrical, Physics, or related) and 5+ years in advanced packaging for high-performance semiconductors from NPI through production (2.5D/3D flows such as CoWoS, FOCoS, EMIB, FCBGA or equivalent).

What you will learn 

• Deeper exposure to leading-edge 2.5D/3D packaging for high-performance AI/ML and chiplet-based architectures.
• How to balance performance-driven architecture with mechanical and reliability constraints to make robust package technology decisions.
• Ways to use AI- and automation-driven methods to accelerate risk assessment, qualification planning, and technical documentation.
• Best practices for building strategic OSAT and foundry partnerships that enable new capabilities while scaling reliable high-volume production.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join Proton and build a better internet where privacy is the default

At Proton, we believe that privacy is a fundamental human right and the cornerstone of democracy. Since our inception in 2014, founded by a team of scientists from CERN, we have dedicated ourselves to providing free and open-source technology to millions worldwide, ensuring access to privacy, security, and freedom online.

Our journey began with Proton Mail, the largest secure email service globally, and has since expanded to include Proton VPN, Proton Calendar, Proton Drive, and Proton Pass. These tools empower individuals and organizations to take control of their personal data, break away from Big Tech’s invasive practices, and defeat censorship. Our work impacts hundreds of millions of lives, from activists on the front lines defending freedom to leaders in governments protecting sensitive information. In some cases, Proton’s services have even been instrumental in saving lives by enabling secure and private communications in high-risk situations.

Proton is a profitable company that does not rely upon VC funding, supporting over 100 million user accounts with a growing team of over 500 people from over 50 different countries, from the world's top companies and universities. We value intelligence, learning potential, and ambition in our hiring process. Adaptability is key as we navigate uncharted territories and redefine how business is conducted online.

Hiring at Proton is highly selective, with less than 1% of candidates hired. We believe smaller teams of exceptional talent will always prevail over larger teams with lower talent density. You will have the opportunity to work with many of the world's top minds in their fields, ranging from former international math and science olympiad winners to chess champions.

We have a global mindset and big ambitions but remain a start-up at heart. We value empowerment and flexibility and keep our structure flat to keep moving fast and avoid unnecessary politics. Tired of blending into the crowd? Join us and do work you can truly be proud of. Check our open-source projects here!

Purpose of the role

MSA is a highly multi-disciplinary group started in 2019 to tackle difficult mail delivery, spam, abuse, and account security problems that impact the Proton ecosystem. We built sophisticated systems from scratch that combine human intelligence and machine learning to make tens of millions of realtime or asynchronous decisions each day. Our custom systems have reduced spam filter misclassifications by over 60%, blocked millions of abusive bulk signups, protected hundreds of thousands of users from account compromise by attackers, and mitigated hundreds of DDoS attacks. In the last few years, we have also been building complicated new products, including launching Wallet, Lumo AI, and Meet. We are the main group at Proton working on AI. In order to move fast with limited resources, we are organized into autonomous teams responsible for the whole system, with expertise across infrastructure, data storage, backend, web and mobile apps, machine learning, security and operational excellence. We are looking for humble, mission-driven, systems-thinking people who want to make a big impact in a startup environment.

What you will do

MSA builds and operates many services responsible for different domains. You will:

• work with other engineers and analysts to design, build, and operate these systems
• work on special user-facing features involving frontend and backend software development
• You will have the opportunity to play Product or Project Managers roles and lead the whole planning and development process
• be responsible for the operational excellence of the systems/features and their interaction with other systems
• You may work on MSA's custom systems written in Python or on the main Proton API written in PHP or on Proton Web apps written in React or even on native iOS and Android mobile apps

Job requirements

• Deep experience with backend development (Python, PHP, or Go)
• Experience with frontend design and development (JavaScript, React, Typescript, or jQuery)
• Experience building complex production systems
• Experience with data processing and storage (MySQL, MongoDB, Redis, Kafka, Elastic, Ceph, ClickHouse)
• Able to work autonomously and lead the whole development process, from design to QA
• Experience with AI tools and AI agents
• Excellent English communications, both written and spoken

Bonus points for: 

• experience with machine learning and real-time prediction systems
• experience with iOS or Android app development
• experience with managing Linux servers, including infrastructure as code (Puppet, Ansible) and containerization

What We Offer

• Office First: Collaboration is easier and more effective in person, which is why we have offices in Geneva, Zurich, Prague, Barcelona, Paris, London, Vilnius, Skopje, and Taipei. You can also enjoy working from home up to 30% of the time, while enjoying great company during our three core days in the office. 
• Technology: We provide all the devices and software you need to excel in your role, ensuring you have the best tools at your disposal to achieve your goals.
• Food: Lunch and snacks are provided by Proton every day at our offices.
• Transport: We will always support our employees with transport costs through subsidizing public transport, bike allowances, or parking spaces based on your office location.
• Stock Options: At Proton, we are all owners of the company and you get stock options when you join us.
• Flexible Working: You can define your own working hours as long as it works with team meetings.
• Learning and Development: We are committed to your professional growth. Proton offers various learning opportunities, including training programs, conferences and events, and continual learning.
• Employee Benefits: Comprehensive health insurance plans, competitive retirement savings options, generous vacation and leave policies, and wellness programs.
• Work that Matters: Proton is a community-first organization, started with the support of a crowdfunding campaign and built with community input. To this day, Proton’s only source of revenue is user subscriptions. Over 100 million people trust and support Proton, and we put our users and community first in everything we do. Read more about our impact here.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

• Have a Master’s degree or higher from a leading university in Computer Science, Electrical Engineering or other related areas
• Good academic record
• Familiar with modeling, data structures, algorithms and optimizations
• Strong knowledge of machine/deep learning algorithms
• Proficient in programming languages of both C++ and Python
• Possess good communication and presentation skills in English
• Ability to work independently and as member of a team
• Research scientist mindset: deep thinker, creative, strong work ethic, persevering, smart & a self-starter
• Detail oriented and capable of multitasking and delivering in fast-paced work environment

• While not mandatory, a strong interest in financial markets will definitely be beneficial
• Participant of ACM-ICPC

• Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering or equivalent
• High GPA and academic grades
• Research mentality: deep thinker, creative, strong work ethic, persevering, smart & a self-starter
• Programming skills – C++ and Python predominantly, but newer skills welcomed too
• Strong interest in learning about worldwide financial markets
• Strong communication skills in English – including both written and verbal

• While not required, a strong interest in financial markets will definitely be beneficial. Prior experience in quant research will count as a big plus
• Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards

The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models.

WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing on Quant Macro signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets, specialized in futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges.

What You’ll Bring:

• Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering, Financial Engineering that is highly analytical or equivalent
• Expertise in the typical quantitative research toolkit: data processing, modeling, and visualization in python, R, or C++
• Experience with futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices–is not required, but is a significant plus.
• High GPA and academic grades
• Research mentality: deep thinker, creative, strong work ethic, persevering, smart & a self-starter
• Strong interest in learning about worldwide financial markets
• Strong communication skills in English

• Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.

Job Description:

We are seeking an experienced leader to drive Supplier / Manufacturing Quality Engineering to anchor our global supplier quality efforts across both Astera Lab’s semiconductor and board-level products. In this role, candidates will drive leading supplier quality across key manufacturing partners including IC fabs, OSAT’s, and PCB/PCBA vendors. A strong foundation in supplier quality engineering, uniquely paired with experience in advanced data analytics (including AI and machine learning) for predictive quality, risk assessments, and product quality analytics will be highly valuable to this role.

Responsibilities:

Supplier Quality Management

· Nurture winning partnerships across all our strategic manufacturing suppliers: semiconductor wafer fabs, advanced packaging & test (OSAT), boards & assemblies (PCB / PCBA / SMT), substrates / interposers, probe cards, and passive components.

· Develop robust supplier selection and onboarding processes in collaboration with Design, Procurement, Business & Engineering Operations teams.

· Define, build, and manage the systems to collect the data (KPI’s) needed to track supplier performance and drive continuous improvement.

· Audit to assess the effectiveness of supplier process controls, manufacturing capabilities, and overall quality management system.

· Coach suppliers by sharing your deep manufacturing experience and knowledge.

· International travel as needed, potentially on short notice. There is no minimum amount but prepare to accommodate up to 20%.

Advanced Data Analytics & AI/ML

· Create data collection methods to enable product and supplier advanced data analytics needed for monolithic, chiplet, and board products. Data sources will include manufacturing inline controls, production test (including data collection from advanced embedded agents), and failure analysis activities.

· Leverage data into quality models & methods to predict product quality issues and supply chain risks.

· Integrate AI/ML tools into quality systems and dashboards (e.g., outlier screening, automated defect detection, trend analysis, real-time alerts).

· Experience with AI/ML tools is a plus but not required; ability to work with technical partners on model development is key.

Cross-functional Collaboration

· Interface with R&D, NPI, product engineering, ops and other engineering teams to provide supplier input into product design and DFX.

· Support early supplier involvement and ensure quality requirements needed for manufacturability & testability are achieved, and learnings are propagated appropriately to other products in production & development.

· Represent supplier quality as needed in line failure reviews, excursion management, material reviews (MRB), and CAPA processes.

· Partner with engineering and manufacturing teams to conduct quarterly engineering reviews, evaluate supplier changes (PCN), and assess supplier risks.

· With engineering engagement, lead quality audits, and corrective action activities using tools such as 8D, 5-why, and FMEA.

Education & Experience

· Bachelor’s or Master’s degree in Engineering or equivalent experience.

· 8+ years of career progression in supplier quality engineering in the semiconductor and/or board-level electronics industry.

· 3+ years direct experience working embedded within a high-volume advanced manufacturing operation in an engineering role.

· Experience with supplier development in Asia with global manufacturing supply chains.

· Six Sigma or ASQ certification a plus

Technical Skills

· Strong knowledge of IC fabrication, packaging (including chiplet), board assembly (SMT), and test processes.

· Familiarity with reliability qualification methodologies in the application of IPC, Telcordia, JEDEC requirements.

· Proficiency with quality engineering tools (FMEA, APQP, PPAP, SPC, OE, etc.).

· Experience using analytics tools (e.g., JMP, SQL, Excel) to support quality insights. Exposure to AI/ML frameworks is a plus, but not required.

· Fluent in English and Mandarin

Realize your potential by joining the leading performance-driven advertising company!

As a Senior Backend Engineer on the Backend team in our Taipei Office, you’ll play a vital role in building the foundational systems that power content understanding for the entire organization. You will create the robust backbone that enables every team to leverage Generative AI. You will operate with the agility of a startup to deliver powerful, scalable solutions and directly shape how the company innovates with AI.

To thrive in this role, you'll need:

• 7+ years of hands-on coding experience in Java or similar object oriented programming languages.
• Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures, applications programming and multi threading programming.
• Experience with SQL and No-SQL, ex: MySQL, Vertica, Cassandra, Google BigQuery.
• Experience with common frameworks: Spring, Maven, Kafka, Apache Spark.
• Proven experience in building and managing data pipelines and distributed systems.
• Thorough understanding of backend integration concepts and technologies such as API, web services, message queuing, and security practices.
• Quick and self-motivated learner with strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication skills and the ability to work collaboratively in both team and cross-timezone environments.

Bonus points if you have:

• Well understanding of common design patterns and engineering best practices.
• Familiarity with containerization and orchestration technologies like Kubernetes and Helm.
• Experience with workflow automation tools like Apache Airflow.
• Knowledge of CI/CD tools such as Jenkins.
• Familiarity with modern development practices such as Agile methodologies and DevOps principles.

How you'll make an impact:

As a Senior Backend Engineer, you will:

• Technical Leadership: Acting as a key technical leader for the group, guiding the architecture and design of complex, business-critical systems.
• Hands-On Excellence: Driving development by being hands-on, personally writing code for the most complex and critical system components and setting a high bar for code quality and best practices.
• Strategic Scalability: Driving the technical strategy for building highly scalable and reliable solutions to process massive datasets and ensure system stability.
• Democratizing AI: You will architect the centralized access layer that allows every service in the organization to integrate with Large Language Models safely and efficiently.
• Powering the Content Engine: You will own the high-throughput content data infrastructure that ingests, processes, and serves the fundamental data powering our recommendations.
• Automating Quality: You will co-own the pipelines responsible for automated Ad Quality, ensuring millions of recommendations meet strict safety standards without human intervention.
• End-to-End Ownership: You will take full responsibility for the lifecycle of your services—from initial architectural design and hands-on coding to deployment, monitoring, troubleshooting, handling incidents and ensuring production reliability.

Why Taboola?
If you ask Taboolars what they love about working here, they'll tell you that they've been empowered to realize their full potential while growing and learning from and with smart and talented people. They'll also share more about:

• Adam Singolda, Taboola Founder and CEO says; "You can copy anything from another business but you can't copy a company's culture.
• Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola's powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola's technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

#LI-MT1

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.

This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.

What You Will Do: 

• Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
• Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
• Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
• Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
• Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth. 
• Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
• Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
• Spearhead technical excellence in Analytics, Data Science, and BI reporting.
• Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.

Basic Qualifications

• Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
• Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
• Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
• Experience with big data tools like Hadoop, Spark, and Presto
• Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
• Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
• Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
• Ability to write clear and concise technical documentation.
• Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.

Preferred Qualifications:

• 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
• Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta. 
• Experience working with ML models that optimize digital marketing and CRM campaigns.
• Experience optimizing CRM campaigns that include push, email, SMS.
• Proving track record of delivering data product and models that optimize marketing operastions
• Proficiency in writing clean code within version-controlled environments
• Experience with Gen-AI workflows and LLMs a plus

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.
• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

As a Manager, Analytics & Data Science (Growth Marketing), you will be responsible for leveraging data points to drive actionable insight and analysis. Work closely with Growth Marketing teams to deliver impact across the customer lifecycle. Come join us and help create a WOW experience for our customers.

This is a great opportunity to be part of a diverse, growing, and dynamic team with upward growth potential. You will be part of an early-stage international expansion team where you will get a broad end-to-end view of aggressive expansion of an e-commerce business. For this reason, we are looking for a hands-on Sr. Manager of Analytics & Data Science who is comfortable working in a fast-paced environment and delivering results with grit.

What You Will Do:

• Understand business goals and formulate them as technical problems that can be solved through Analytics, Data Science, and BI reporting.
• Work as a player-coach to drive value for several Growth Marketing channels, including Paid, CRM, On-Site Merchandising, and Product.
• Partner closely with Growth Marketing teams to provide actionable insight and recommendations. Regularly present findings to leadership and stakeholders.
• Build and maintain automated dashboards and data pipelines. Create and automate new datasets for syndicated reporting
• Work with omnichannel attribution measurement frameworks that drive incrementality and customer growth. 
• Design and conduct experiments and A/B tests to measure marketing initiatives. Apply statistical rigor and causal inference to measure incrementality.
• Build ML models that help drive decision making and optimization. Partner closely with Data Science and Growth Marketing teams to deploy ML solutions that optimize data feeds and audience targeting.
• Spearhead technical excellence in Analytics, Data Science, and BI reporting.
• Establish processes that raise the bar for excellence, effectiveness, and efficiency, including documentation, data quality, code hygiene, and integration with AI tools.

Basic Qualifications

• Bachelor’s/Masters/PHD in math, statistics, computer engineering or any other quantitative disciplines, with 5+ years of relevant experience.
• Minimum 2+ years managing Analytics and/or Data Science teams focused on Growth Marketing. Experience managing and mentoring a team of Analysts and Data Scientists.
• Expert and hands-on experience using Python, SQL, R and visualization tools. Experience data mining a variety of large datasets, including weblogs, clickstream, and customer data.
• Experience with big data tools like Hadoop, Spark, and Presto
• Expert in experimentation and A/B testing. Strong knowledge of math, statistics, and causal inference techniques to measure incrementality.
• Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them.
• Knowledgeable in data science and AI/ML, including regression, classification, decision tree, clustering, and deep learning models.
• Ability to write clear and concise technical documentation.
• Strong critical thinking skills and ability to solve nonstructural problems supported by solid knowledge of statistics and business domains.

Preferred Qualifications:

• 5+ years managing Analytics and/or Data Science teams focused on Growth Marketing in the e-commerce space
• Experience working with Growth Marketing teams and large-scale campaigns. Strong knowledge of advertising platforms such as Google and Meta. 
• Experience working with ML models that optimize digital marketing and CRM campaigns.
• Experience optimizing CRM campaigns that include push, email, SMS.
• Proving track record of delivering data product and models that optimize marketing operastions
• Proficiency in writing clean code within version-controlled environments
• Experience with Gen-AI workflows and LLMs a plus

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.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Join Proton and build a better internet where privacy is the default

Proton was founded in 2014 by scientists from CERN on a simple truth: privacy is a fundamental human right. Since then, we’ve built the world’s largest encrypted email service (Proton Mail) and expanded into Proton VPN, Proton Drive, Proton Pass, and Proton Calendar—tools used by millions globally to protect their freedom, fight censorship, and keep their data safe. In some situations, Proton has literally helped save lives!

We are profitable, independent (no VC control), and selectively hire from the top ~1% of applicants. Our 500+ team members across 50+ countries come from leading organizations and elite academic backgrounds. We move fast, keep hierarchy light, and prioritize impact over optics. If you want to do meaningful work with exceptionally high-caliber people, this is it. Join us and do work you can truly be proud of. Check our open-source projects here!

About the role:

The MSA team (Mail Delivery, Spam, and Anti-Abuse) is a multidisciplinary group founded in 2019 to solve complex security challenges across the Proton ecosystem. We build sophisticated systems from scratch that combine human intelligence and machine learning to make tens of millions of real-time or asynchronous decisions daily. Our focus areas include:

1. Mail delivery and spam prevention

2. Abuse detection

3. Account security

4. Site reliability and resilience

Over the past few years, our custom systems have:

• Reduced spam filter misclassifications by over 70%

• Blocked millions of abusive bulk signups

• Protected hundreds of thousands of users from account compromises

• Mitigated hundreds of DDoS attacks

Recently, we’ve expanded our impact with Proton Sentinel (an AI-human hybrid security program) and Proton CAPTCHA (our own puzzle system to detect and prevent abuse). We’re now scaling our capabilities with agentic AI to enable autonomous threat detection and response.

In 5 years, we’ve grown from 2 engineers to 40+ engineers and analysts across 3 continents, operating 24/7. We’re looking for curious, collaborative, and impact-driven engineers who thrive in a startup environment and want to shape the future of secure AI.

What You Will Do

• Design and deploy scalable ML systems using modern MLOps practices, including real-time inference, model monitoring, and automated retraining pipelines.

• Architect agentic AI systems capable of autonomous threat detection, adaptive policy enforcement, and self-healing security responses.

• Build tools for model development, debugging, and explainability to accelerate iteration and transparency.

• Optimize ML workflows for distributed environments to handle large-scale data processing.

• Collaborate cross-functionally with security analysts, backend/frontend engineers, and customer support to align technical solutions with user needs.

• Advance the state of ML for anti abuse and account security, exploring cutting-edge techniques like adversarial robustness, graph-based anomaly detection, and privacy-preserving AI.

What You Bring

• Degree in Computer Science or a related quantitative field, with 2+ years hands-on experience in building and running ML systems.

• Production-level ML expertise: You’ve shipped models that handle real-world scale and complexity.

• Hands-on experience with LLMs in agentic environments.

• Strong software engineering skills: Proficiency in Python, with a solid understanding of backend and server fundamentals.

• Statistical rigor: Deep understanding of probability, hypothesis testing, and experimental design.

• Experience with adversarial ML or red-teaming ML systems.

• Experience working on distributed systems.

• Contributions to open-source security/privacy tools.

• Knowledge of federated learning, differential privacy, or on-device inference.

• Familiarity with graph-based anomaly detection or knowledge graphs.

• Technical leadership: Experience owning projects, mentoring peers, and driving technical direction.

• Security mindset: Familiarity with abuse patterns, adversarial attacks, or threat intelligence (bonus points!).

Why Join Us?

• Impact at scale: Your work will protect millions of users globally.

• Cutting-edge tech: Tackle challenges like agentic AI, real-time threat detection, and privacy-preserving ML.

• Collaborative culture: Work with a global team of experts in security, ML, and systems engineering.

• Growth opportunities: Lead initiatives, mentor other, and learn across a diverse technology stack

• Mission-driven: Contribute to a privacy-first internet where users control their data.

What We Offer

• Work that Matters: millions of people trust Proton with their privacy. We answer only to our users — not advertisers, not investors with conflicting agendas, not governments. The work you do here is real, and the impact is measurable. (read more about our impact here)
• A great Team: Our team is diverse, collaborative, and tight-knit with people coming from all walks of life, including many of the world’s top academic institutions and organizations, such as MIT, Harvard, Stanford, Caltech, Cambridge, and ETH.
• Technology: you'll get the right hardware and the right software you need to do your best work.
• Learning & Development: we invest in your growth because sharp people make us better. Proton is one of the fastest ways to accelerate your career because you'll be thrown into real challenges, with real ownership, from day one.
• Employee Benefits: your wellbeing isn't an afterthought. We offer strong health coverage, solid retirement options, generous leave, and wellness support so you can bring your best self to work every day
• Stock Options: at Proton, we all have the opportunity to be owners of the company. From day one, you have a real stake in what we're building. When Proton wins, you win.
• In-Person Collaboration: Amazing things happen when passionate, smart, and purposeful people get together in the same room. With offices across Geneva, Zürich, Barcelona, London and more, you'll spend most of your time collaborating face-to-face with people who genuinely care about what they're building
• Food: Lunch and snacks are on us every day in our offices so you can focus on the work and not on what's for lunch.
• Transport: getting to the office shouldn't cost you. We cover public transport, bike allowances, or parking, whichever works for you.
• Flexible Working: you own your schedule. Set hours that work for you and your team — because outcomes matter more than when the clock says you started.

Our Commitment to Diversity and Inclusion

At Proton, we believe diversity drives innovation and strengthens our mission to provide privacy as a default for all. We are committed to fostering an inclusive environment where all individuals, regardless of race, ethnicity, gender, age, sexual orientation, physical ability, or socio-economic background, feel valued and empowered. We strive to create equal opportunities, promote open dialogue, and support continuous learning to ensure every voice is heard and respected.

If you need any extra support or reasonable adjustments during the hiring process, please let your talent partner know.

Candidate Privacy Notice

When you apply for a position, refer a candidate, or are considered for a role at Proton Technologies AG (Proton, we, us, or our), your information is stored in Greenhouse, in accordance with their Service Privacy Policy. This information is used to evaluate your suitability for the posted position. We also retain this information for consideration for future roles that you may apply for or that we believe may align with your background and skills.

If we no longer have a legitimate business need to process your information, we will either delete or anonymize it. Should you have any inquiries about how we use or manage your information, or if you wish to access, correct, or delete your data, please contact our privacy team at careers@proton.ch.

Proton does not accept unsolicited resumes from any sources other than directly from candidates. We will not pay a fee for any placement resulting from an unsolicited offer, even if the candidate is subsequently hired by Proton.

To learn more about our privacy policy, please visit our privacy policy page.

#LI-ONSITE

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Position : Manager, Seller Service (Training Manager)

Role Overview:

We are seeking a highly motivated Training Manager who is obsessed with seller experiences and possesses a "Day 1" mindset. This isn't just about training delivery; it's about designing for scale and measuring for impact. You will own the end-to-end educational ecosystem and ensure that our internal consultants and third-party (OSP) partners are equipped to provide outstanding service while maintaining operational efficiency. You will raise the bar for seller experience by using data-driven insights to identify performance gaps and implement scalable, high-efficiency learning solutions. You will be expected to break the trade-off between training quality and operational productivity, ensuring our consultants are equipped to "WoW" our customers while maintaining peak operational efficiency.

Key Responsibilities

• Strategy & Roadmap: Design and execute the long-term L&D strategy for Seller Support, ensuring alignment with Coupang’s rapid business expansion in Taiwan.
• Curriculum Architecture: Responsible for the design, creation, audit, and maintenance of all training content. You will ensure materials are "living documents" that iterate based on process changes.
• Digital Transformation: Lead the shift from traditional classroom training to high-efficiency E-learning and "Just-in-Time" learning modules to minimize operational downtime.
• Data-Driven Intervention: Deep-dive into operational metrics (CSAT, QA scores, AHT) to identify root causes of errors and design targeted training interventions that deliver measurable ROI.
• Performance Analytics: Build 360-degree feedback loops and analytics to measure the seller-support knowledge journey. Provide regular reporting on training effectiveness against organizational goals to senior stakeholders.
• Stakeholder Management: Partner with Ops Leaders and Product teams to translate complex policy changes into simple, actionable training for consultants.
• Leadership: Manage and coach a lean, high-performing team. You are responsible for their performance outcomes and the quality of the content they produce.

Essential Qualifications:

• Seniority: 5+ years of experience in L&D, Corporate Training, or Operational Excellence, with at least 2 years in a management/leadership role.

• Industry: Proven track record preferably in BPO, high-volume Call Center environments and or Supply Chain.

• Data Literacy: Strong ability to use Excel (Pivot tables, VLOOKUP) and data visualization to justify training needs and show results.

• Educational Technology: Experience with Learning Management Systems (LMS) and E-learning content creation (Articulate, Captivate, or similar), Microsoft Powerpoint, Adobe Suite for video production is preferred though not mandatory.

• Communication: Fluent in English and Mandarin. Ability to "Disagree and Commit" while maintaining strong cross-functional relationships and "Influence without Authority.

Remuneration

Salary is negotiable (in accordance with regulations, the regular monthly salary is above NT$40,000).

Recruitment Process and Others

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/

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.   

 We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” 

Role Overview

Coupang Taiwan is looking for a Senior Analyst to join our Affiliate Marketing Operations. In this role, you will work within the Growth Analytics team to enable marketing campaigns across various affiliate channels.  You will partner closely with marketing stakeholders to build performance reporting and data feeds, while analyzing user behavior to support campaign operations and "wow" our customers! Additionally, you will collaborate with engineers to develop marketing products and tracking features, with the opportunity to contribute to building data models and improving our data pipelines.  

What You Will Do  

• Process audience-building requests by leveraging working knowledge of SQL and Python. Write SQL queries to segment customers for campaigns and marketing data feeds. 

• Work closely with stakeholders to deep-dive into data issues and provide clear and actionable plans by analyzing data and insights. 

• Maintain a high bar for quality and accuracy. Provide clear documentation of work and code. 

• Work on defining the Marketing Metric, building and maintaining Marketing dashboards. Continuously track marketing campaign results. 

• Communicate effectively and proactively with internal stakeholders.  

• Collaborate with the Marketing Tech team to guide product development by sharing actionable insights from our existing reports. 

Basic Qualifications

• Bachelor’s degree or equivalent experience  
• 5+ years of experience in data analytics with proficiency in SQL and data visualization tools (e.g., Tableau)  
• Foundational knowledge of statistical concepts and testing methodologies  
• Exceptional critical thinking and problem-solving skills with a strong attention to detail and ability to validate data  
• Strong verbal and written communication skills in both Mandarin and English to share analysis results clearly and concisely 
• Identify key drivers of performance and provide actionable insights to stakeholders through the application of data analytics, scripting and programming skills (Python, SQL) as well as any relevant tools. 

Preferred Qualifications 

• Master’s degree in Business Analytics, Data Science, or a related field 

• Experience in Retail/E-commerce industries, Affiliate Marketing, Performance Marketing, or CRM functions 

• Experience in data ETL (Extract, Transform, Load) and data engineering principles  

• Proficiency with Python or other scripting languages for advanced data manipulation 

• Experience working in a global or multinational team environment 

• Experience collaborating with the engineering team to develop products. 

• Experienced in building machine learning models to enable precision marketing and improve audience targeting accuracy. 

Recruitment Process and Others  

 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/​ 

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

The Coupang Catalog Team is responsible for hosting billions of products in Coupang’s catalog and the dynamic processing of hundreds of millions of updates to provide the source of truth that powers the online buying experience for millions of customers. We strive to deliver a world-class platform for our customers to find and discover complete, accurate and trustworthy product information without friction and at the lowest price. We continually invest in the latest technologies to ensure the scalability, precision and reliability at scale of these critical systems.

What You Will Do:

This is a dynamic, rapidly evolving and complex ecosystem, and thus the person hired for this role will be comfortable dealing with high degree of complexity and working with a large cohort of stakeholders internationally across South Korea, Taiwan, China, India, and the US. These stakeholders include Retail and Pricing Product, 3P Marketplace, Search & Discovery, Customer Experience, and Finance.

In this pivotal role, you will be at the forefront of defining and executing a strategic roadmap tailored to the Taiwanese market, ensuring that our innovative e-commerce solutions resonate with local consumers while maintaining the essence of Coupang's groundbreaking services. You will:

• Craft our path to becoming Taiwan’s top e-commerce platform, focusing on strategic product development that places customer experience at the forefront, ensuring excellence without compromise. We aim to set the new industry benchmark in Taiwan.
• Become part of a fast-growing organization which embraces ownership to drive significant impact. We embrace a flat structure to foster a supportive and collaborative culture to enable fast-paced product development while challenging the business-as-usual mentality.
• Prioritize and create a future roadmap of projects and initiatives, considering the necessary trade-offs and optimizing for Customer experience. This will likely include the development of a next generation suite of tools to automate our Catalog processes.
• Join a team of world-class talent drawn from across the globe and drive alignment with a wide variety of stakeholders, including executives in engineering, data science, product, operations, and infrastructure to achieve the above goal.
• Lead a variety of initiatives, from expanding market reach to optimizing product offerings, all aimed at driving customer satisfaction and business growth. Employ a data-centric approach to identify trends, tailor strategies, and deliver tangible, impactful results.

Basic Qualifications

• Minimum 8 years of product management experience or equivalent, with a proven track record of developing and scaling innovative products.
• Experience creating product roadmap(s) from conception to launch, driving the product vision, defining the GTM strategy, leading design discussions, testing, iterating, and overseeing pre- and post-launch execution.
• Ability to combine strategic foresight with a strong execution focus to drive results.  Combined with exceptional analytical skills to drive decision-making and system optimizations based on robust data analysis.
• Experience in launching consumer-facing products in a fast-paced environment, with a preference for candidates who have worked in start-ups or large tech companies.
• A proactive approach, with a willingness to delve into details, drive results, adapt and find creative solutions in a constantly changing environment.  Hands on experience working in an agile environment with a rapid iteration cadence (Launch new products and features, test their performance, and iterate quickly).
• Excellent communication skills, capable of conveying complex ideas succinctly and persuasively.

Preferred Qualifications:

• Prior experience in the e-commerce industry.
• Experience working and influencing cross-functionally and building relationships across globally distributed teams, with people outside the direct reporting chain and senior executives.
• Experience leading, driving, launching and managing projects with at one of the targeted workloads: AI; ML; NLP/NLU; Deep Learning; LLM; OCR; or any other relevant technologies.

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.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”

Position : Manager, Seller Service (Training Manager)

Role Overview:

We are seeking a highly motivated Training Manager who is obsessed with seller experiences and possesses a "Day 1" mindset. This isn't just about training delivery; it's about designing for scale and measuring for impact. You will own the end-to-end educational ecosystem and ensure that our internal consultants and third-party (OSP) partners are equipped to provide outstanding service while maintaining operational efficiency. You will raise the bar for seller experience by using data-driven insights to identify performance gaps and implement scalable, high-efficiency learning solutions. You will be expected to break the trade-off between training quality and operational productivity, ensuring our consultants are equipped to "WoW" our customers while maintaining peak operational efficiency.

Key Responsibilities

• Strategy & Roadmap: Design and execute the long-term L&D strategy for Seller Support, ensuring alignment with Coupang’s rapid business expansion in Taiwan.
• Curriculum Architecture: Responsible for the design, creation, audit, and maintenance of all training content. You will ensure materials are "living documents" that iterate based on process changes.
• Digital Transformation: Lead the shift from traditional classroom training to high-efficiency E-learning and "Just-in-Time" learning modules to minimize operational downtime.
• Data-Driven Intervention: Deep-dive into operational metrics (CSAT, QA scores, AHT) to identify root causes of errors and design targeted training interventions that deliver measurable ROI.
• Performance Analytics: Build 360-degree feedback loops and analytics to measure the seller-support knowledge journey. Provide regular reporting on training effectiveness against organizational goals to senior stakeholders.
• Stakeholder Management: Partner with Ops Leaders and Product teams to translate complex policy changes into simple, actionable training for consultants.
• Leadership: Manage and coach a lean, high-performing team. You are responsible for their performance outcomes and the quality of the content they produce.

Essential Qualifications:

• Seniority: 5+ years of experience in L&D, Corporate Training, or Operational Excellence, with at least 2 years in a management/leadership role.

• Industry: Proven track record preferably in BPO, high-volume Call Center environments and or Supply Chain.

• Data Literacy: Strong ability to use Excel (Pivot tables, VLOOKUP) and data visualization to justify training needs and show results.

• Educational Technology: Experience with Learning Management Systems (LMS) and E-learning content creation (Articulate, Captivate, or similar), Microsoft Powerpoint, Adobe Suite for video production is preferred though not mandatory.

• Communication: Fluent in English and Mandarin. Ability to "Disagree and Commit" while maintaining strong cross-functional relationships and "Influence without Authority.

Remuneration

Salary is negotiable (in accordance with regulations, the regular monthly salary is above NT$40,000).

Recruitment Process and Others

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/

Company Introduction  

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  

Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Overseas” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond.   

 We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?” 

Role Overview

Coupang Taiwan is looking for a Senior Analyst to join our Affiliate Marketing Operations. In this role, you will work within the Growth Analytics team to enable marketing campaigns across various affiliate channels.  You will partner closely with marketing stakeholders to build performance reporting and data feeds, while analyzing user behavior to support campaign operations and "wow" our customers! Additionally, you will collaborate with engineers to develop marketing products and tracking features, with the opportunity to contribute to building data models and improving our data pipelines.  

What You Will Do  

• Process audience-building requests by leveraging working knowledge of SQL and Python. Write SQL queries to segment customers for campaigns and marketing data feeds. 

• Work closely with stakeholders to deep-dive into data issues and provide clear and actionable plans by analyzing data and insights. 

• Maintain a high bar for quality and accuracy. Provide clear documentation of work and code. 

• Work on defining the Marketing Metric, building and maintaining Marketing dashboards. Continuously track marketing campaign results. 

• Communicate effectively and proactively with internal stakeholders.  

• Collaborate with the Marketing Tech team to guide product development by sharing actionable insights from our existing reports. 

Basic Qualifications

• Bachelor’s degree or equivalent experience  
• 5+ years of experience in data analytics with proficiency in SQL and data visualization tools (e.g., Tableau)  
• Foundational knowledge of statistical concepts and testing methodologies  
• Exceptional critical thinking and problem-solving skills with a strong attention to detail and ability to validate data  
• Strong verbal and written communication skills in both Mandarin and English to share analysis results clearly and concisely 
• Identify key drivers of performance and provide actionable insights to stakeholders through the application of data analytics, scripting and programming skills (Python, SQL) as well as any relevant tools. 

Preferred Qualifications 

• Master’s degree in Business Analytics, Data Science, or a related field 

• Experience in Retail/E-commerce industries, Affiliate Marketing, Performance Marketing, or CRM functions 

• Experience in data ETL (Extract, Transform, Load) and data engineering principles  

• Proficiency with Python or other scripting languages for advanced data manipulation 

• Experience working in a global or multinational team environment 

• Experience collaborating with the engineering team to develop products. 

• Experienced in building machine learning models to enable precision marketing and improve audience targeting accuracy. 

Recruitment Process and Others  

 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/​ 

Company Introduction:

Coupang is reimagining the shopping experience with the goal of wowing each customer from the instant they open the Coupang app to the moment an order is delivered to their door.  
 
Our services in Taiwan include “Rocket Delivery” which offers next-day delivery for a wide selection of items at affordable prices, “Rocket Oversea” which offers free international delivery on millions of best-selling products from Korea, the U.S., and beyond. 

We are looking for talents to help us lead Coupang’s expansion in Taiwan. This is an exceptional opportunity to become a part of Coupang’s growth in Taiwan and create a world where our customers wonder, “How did I ever live without Coupang?”   

Role Overview:

The Coupang Catalog Team is responsible for hosting billions of products in Coupang’s catalog and the dynamic processing of hundreds of millions of updates to provide the source of truth that powers the online buying experience for millions of customers. We strive to deliver a world-class platform for our customers to find and discover complete, accurate and trustworthy product information without friction and at the lowest price. We continually invest in the latest technologies to ensure the scalability, precision and reliability at scale of these critical systems.

What You Will Do:

This is a dynamic, rapidly evolving and complex ecosystem, and thus the person hired for this role will be comfortable dealing with high degree of complexity and working with a large cohort of stakeholders internationally across South Korea, Taiwan, China, India, and the US. These stakeholders include Retail and Pricing Product, 3P Marketplace, Search & Discovery, Customer Experience, and Finance.

In this pivotal role, you will be at the forefront of defining and executing a strategic roadmap tailored to the Taiwanese market, ensuring that our innovative e-commerce solutions resonate with local consumers while maintaining the essence of Coupang's groundbreaking services. You will:

• Craft our path to becoming Taiwan’s top e-commerce platform, focusing on strategic product development that places customer experience at the forefront, ensuring excellence without compromise. We aim to set the new industry benchmark in Taiwan.
• Become part of a fast-growing organization which embraces ownership to drive significant impact. We embrace a flat structure to foster a supportive and collaborative culture to enable fast-paced product development while challenging the business-as-usual mentality.
• Prioritize and create a future roadmap of projects and initiatives, considering the necessary trade-offs and optimizing for Customer experience. This will likely include the development of a next generation suite of tools to automate our Catalog processes.
• Join a team of world-class talent drawn from across the globe and drive alignment with a wide variety of stakeholders, including executives in engineering, data science, product, operations, and infrastructure to achieve the above goal.
• Lead a variety of initiatives, from expanding market reach to optimizing product offerings, all aimed at driving customer satisfaction and business growth. Employ a data-centric approach to identify trends, tailor strategies, and deliver tangible, impactful results.

Basic Qualifications

• Minimum 8 years of product management experience or equivalent, with a proven track record of developing and scaling innovative products.
• Experience creating product roadmap(s) from conception to launch, driving the product vision, defining the GTM strategy, leading design discussions, testing, iterating, and overseeing pre- and post-launch execution.
• Ability to combine strategic foresight with a strong execution focus to drive results.  Combined with exceptional analytical skills to drive decision-making and system optimizations based on robust data analysis.
• Experience in launching consumer-facing products in a fast-paced environment, with a preference for candidates who have worked in start-ups or large tech companies.
• A proactive approach, with a willingness to delve into details, drive results, adapt and find creative solutions in a constantly changing environment.  Hands on experience working in an agile environment with a rapid iteration cadence (Launch new products and features, test their performance, and iterate quickly).
• Excellent communication skills, capable of conveying complex ideas succinctly and persuasively.

Preferred Qualifications:

• Prior experience in the e-commerce industry.
• Experience working and influencing cross-functionally and building relationships across globally distributed teams, with people outside the direct reporting chain and senior executives.
• Experience leading, driving, launching and managing projects with at one of the targeted workloads: AI; ML; NLP/NLU; Deep Learning; LLM; OCR; or any other relevant technologies.

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.

• Coupang does not discriminate against disabled applicants or those with veteran status.
• We are proud to offer equal opportunities for all applicants.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice is located below. https://privacy.coupang.com/en/land/jobs/

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 4+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

#LI-AK1

Location: [Taiwan] 

We Are: 

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel. 

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

You Will:

• Analytical Support & Insights
  • Partner with the Account Management team to provide data-driven insights that support revenue, margin, and performance optimization
  • Analyze data from internal systems and translate findings into clear, actionable business recommendations
• Reporting & Data Solutions
  • Design, build, and maintain scalable reporting and dashboard solutions for key stakeholders
  • Translate local market business requirements into structured data outputs and reporting frameworks
• Process Design & Optimization
  • Conceptualize, recommend, and implement standardized guidelines and repeatable processes to improve efficiency and consistency
  • Identify opportunities to streamline workflows and enhance operational performance
• Data Governance
  • Ensure data accuracy, consistency, and integrity across systems and reporting outputs
  • Establish best practices for data validation and ongoing quality control
• Cross-functional Collaboration
  
  • Lead and coordinate cross-functional initiatives (e.g., AM, Sales, Tech) to improve business operations across the Greater China region

Desired Experience: 

• 5 years of experience in data-driven roles within adtech, finance, consulting, or performance / growth marketing
• Prior experience in analytical functions (e.g., analytics, FP&A, strategy, performance optimization) preferred
• Exposure to client-facing environments or stakeholder management is a plus
• Strong analytical thinking with the ability to translate data into actionable business decisions
• Proven experience working with core business metrics (e.g., revenue, margin, ROI, CAC) and making trade-off decisions
• High attention to detail with a structured approach to problem-solving
• Basic understanding of retargeting and the RTB model
• Familiarity with e-commerce and online advertising ecosystems, especially within APAC markets
• Advanced proficiency in Excel, PowerPoint, g-suite
• Working knowledge of SQL and/or Python is a plus
• Demonstrated ability to take ownership and drive initiatives end-to-end
• Proactive, self-driven, and comfortable working with ambiguity
• Experience collaborating across cross-functional teams (e.g., Sales, Product, Tech)
• Strong communication and stakeholder management skills
• Fluent in English (written and spoken

We Offer: 

• Unique opportunity to join an award-winning, fast-growing tech company
• Ability to work in a truly international environment and win the market with the best people
• Great environment for growth and professional development

Apply now! 

You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

We work with the world's most significant silicon companies - Intel, AMD, Nvidia, Mediatek, Qualcomm, Samsung and more - to optimize Ubuntu on their next-generation chips. We also work with OEMs and ODMs - Dell, HP, Lenovo, Advantech, ADLink and many more - to ensure that Ubuntu works perfectly on their hardware.

We are hiring a Ubuntu Enablement Engineer to represent Canonical with leading OEMs, ODMs, and silicon partners to deliver the best user experience of Ubuntu on partner hardware. Your work will improve Ubuntu for millions of users.

This fast-paced environment requires excellent time management, insightful debugging, critical thinking, problem-solving skills and deep knowledge of the Linux system​.

Location: This role will be office based in Beijing, China

The role entails

• Work closely with partners on platform bring up
• Debug and prioritize issues, escalate to engineering teams where needed
• Facilitate communication between Ubuntu, firmware and hardware engineering teams
• Build and maintain working relationships with partners
• Conduct root cause analysis, collect and organize details to reproduce and explain results
• Provide fast response times and estimated timelines for resolving technical issues
• Plan, build and deliver Ubuntu ecosystem technical training to Canonical's partners
• Design and provide factory support during production preparation and run
• Occasional international travel to the EU, USA, Taiwan and China

What we are looking for in you

• Linux kernel, boot and system-level architecture skills
• Linux debugging and resolution abilities
• English written and verbal communication skills
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Ability to be productive in a globally distributed team
• Good interpersonal skills for collaboration and customer engagements
• Ability to learn fast to work on cutting edge technologies
• Ability to travel internationally twice a year for company events up to two weeks long

Nice-to-have skills

• Experience with system firmware, including UEFI, ACPI, DSDT, boot loaders, device firmware
• Experience debugging power management on PCI ASPM, SATA ALPM, low power profiles
• Experience in board design, bring up, and validation
• Computer architecture knowledge of x86, ARM, RISC-V

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

We work with the world's most significant silicon companies - Intel, AMD, Nvidia, Mediatek, Qualcomm, Samsung and more - to optimize Ubuntu on their next-generation chips. We also work with OEMs and ODMs - Dell, HP, Lenovo, Advantech, ADLink and many more - to ensure that Ubuntu works perfectly on their hardware.

We are hiring a Ubuntu Enablement Engineer to represent Canonical with leading OEMs, ODMs, and silicon partners to deliver the best user experience of Ubuntu on partner hardware. Your work will improve Ubuntu for millions of users.

This fast-paced environment requires excellent time management, insightful debugging, critical thinking, problem-solving skills and deep knowledge of the Linux system​.

Location: This role will be office based in Taipei, Taiwan

The role entails

• Work closely with partners on platform bring up
• Debug and prioritize issues, escalate to engineering teams where needed
• Facilitate communication between Ubuntu, firmware and hardware engineering teams
• Build and maintain working relationships with partners
• Conduct root cause analysis, collect and organize details to reproduce and explain results
• Provide fast response times and estimated timelines for resolving technical issues
• Plan, build and deliver Ubuntu ecosystem technical training to Canonical's partners
• Design and provide factory support during production preparation and run
• Occasional international travel to the EU, USA, Taiwan and China

What we are looking for in you

• Linux kernel, boot and system-level architecture skills
• Linux debugging and resolution abilities
• English written and verbal communication skills
• Exceptional academic track record from both high school and university
• Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
• Ability to be productive in a globally distributed team
• Good interpersonal skills for collaboration and customer engagements
• Ability to learn fast to work on cutting edge technologies
• Ability to travel internationally twice a year for company events up to two weeks long

Nice-to-have skills

• Experience with system firmware, including UEFI, ACPI, DSDT, boot loaders, device firmware
• Experience debugging power management on PCI ASPM, SATA ALPM, low power profiles
• Experience in board design, bring up, and validation
• Computer architecture knowledge of x86, ARM, RISC-V

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.

As a ​Software Engineering Manager​ you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system​, low-level debugging, critical thinking, problem-solving skills and management ability.

Key responsibilities

• Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
• Set goals with the team; prioritize tasks, identify and measure team health indicators
• Maximise the results of team members and support their career growth
• Coordinate with project managers, HWE, QA and certification management
• Monitor projects from kickoff to post-mortem and handle escalations
• Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
• Prioritize customer requests globally
• Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
• Provide leadership for methodologies, strategies, standards, tools, and best practices
• Must be able to travel to the EU, USA, China, and Taiwan

Required skills and experience

• A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
• Proven track record in technical roles with Linux, preferably Ubuntu or Debian
• Commitment to development and testing methodologies, and maintainable code quality
• Experience with management responsibilities
• Ability to work collaboratively in a team environment
• Ability to be productive in a globally distributed team through self-discipline and self-motivation
• Commitment and energy to deliver on schedule
• Strong English and Chinese language communication skills, both written and verbal

Desirable skills and experience

• Making technical decisions for a team as a tech lead
• Software architecture and design experience
• Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
• Participation in open-source development projects
• Experience with CI/CD

Canonical is an equal opportunity employer

Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.

As a ​Software Engineering Manager​ you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system​, low-level debugging, critical thinking, problem-solving skills and management ability.

Key responsibilities

• Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
• Set goals with the team; prioritize tasks, identify and measure team health indicators
• Maximise the results of team members and support their career growth
• Coordinate with project managers, HWE, QA and certification management
• Monitor projects from kickoff to post-mortem and handle escalations
• Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
• Prioritize customer requests globally
• Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
• Provide leadership for methodologies, strategies, standards, tools, and best practices
• Must be able to travel to the EU, USA, China, and Taiwan

Required skills and experience

• A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
• Proven track record in technical roles with Linux, preferably Ubuntu or Debian
• Commitment to development and testing methodologies, and maintainable code quality
• Experience with management responsibilities
• Ability to work collaboratively in a team environment
• Ability to be productive in a globally distributed team through self-discipline and self-motivation
• Commitment and energy to deliver on schedule
• Strong English and Chinese language communication skills, both written and verbal

Desirable skills and experience

• Making technical decisions for a team as a tech lead
• Software architecture and design experience
• Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
• Participation in open-source development projects
• Experience with CI/CD

Canonical is an equal opportunity employer

Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

#LI-ET1 #stack

Canonical's Device Delivery Team works with tier-1 OEM and ODM customers to pre-load Ubuntu Desktop and Ubuntu Core, bringing Ubuntu directly to millions of users.

As a ​Software Engineering Manager​ you will lead and manage the software engineering team to deliver OEM enablement projects. This fast-paced environment requires excellent time management, deep knowledge of the Linux system​, low-level debugging, critical thinking, problem-solving skills and management ability.

Key responsibilities

• Recruit, motivate, mentor, and enable your team to succeed in delivering quality products
• Set goals with the team; prioritize tasks, identify and measure team health indicators
• Maximise the results of team members and support their career growth
• Coordinate with project managers, HWE, QA and certification management
• Monitor projects from kickoff to post-mortem and handle escalations
• Communicate, understand, and resolve the technical challenge with OEMs, ODMs, SiPs, IHVs
• Prioritize customer requests globally
• Collaborate with product engineering teams (including Desktop, Foundations, Kernel, and Security)
• Provide leadership for methodologies, strategies, standards, tools, and best practices
• Must be able to travel to the EU, USA, China, and Taiwan; (after covid-19 restrictions lift)

Required skills and experience

• A Bachelor (or higher) degree in STEM, preferably computer science or software engineering
• Proven track record in technical roles with Linux, preferably Ubuntu or Debian
• Commitment to development and testing methodologies, and maintainable code quality
• Experience with management responsibilities
• Ability to work collaboratively in a team environment
• Ability to be productive in a globally distributed team through self-discipline and self-motivation
• Commitment and energy to deliver on schedule
• Strong English and Chinese language communication skills, both written and verbal

Desirable skills and experience

• Making technical decisions for a team as a tech lead
• Software architecture and design experience
• Software development or operations experience with: Ubuntu - kernel and userspace, deb/snap packaging, QEMU/KVM, LXC/LXD, Containers, Python, Go, C, bash, Postgresql, Mongo, Kubernetes, OpenStack, Ceph, AI/ML
• Participation in open-source development projects
• Experience with CI/CD

Canonical is an equal opportunity employer

Canonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world’s computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

#LI-ET1 #stack

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

Canonical's OEM Delivery Team works with tier-one OEM, IHV, and ODM customers to pre-load Ubuntu Classic, Ubuntu Core, and bring Ubuntu directly to millions of users. You will have the opportunity to enable cutting edge technology with world leading partners, and become the first contributor to the innovation.

We are hiring a Senior Ubuntu Embedded IoT System Engineer to represent Canonical with leading OEMs, ODMs, and silicon partners and to deliver the best user experience of Ubuntu on partner hardware for Robotics, Automotive, SmartNIC, Medical device, Industry gateway and many other products.

In this role, you will use your knowledge of Linux and hardware and improve Ubuntu for millions of users. 

We work with the world's most significant silicon companies - Intel, AMD, Nvidia, Mediatek, Hisilicon, Samsung and more - to optimize Ubuntu on their next-generation chips. We also work with OEMs and ODMs - Dell, HP, Lenovo, Advantech, ADLink and many more - to ensure that Ubuntu works perfectly on their hardware.

This fast-paced environment requires excellent time management, insightful debugging, critical thinking, problem-solving skills and deep knowledge of the Linux system​.

Location: This role will be based remotely in the EMEA region

The role entails

• Provide software and system engineering services for OEM and ODM customers
• Work closely with partners on platform bring up
• Work with project managers and Field/QA engineers to identify, triage, and fix critical problems
• Work with individual upstream projects to find and apply patches for bugs
• Conduct root cause analysis, collect and organize details to reproduce and explain results
• Facilitate communication between Ubuntu, firmware and hardware engineering teams
• Occasional international travel to the EU, USA, Taiwan and China

What we are looking for in you

• A Bachelor or higher degree in STEM, preferably Computer Science or Electrical Engineering
• Exceptional academic track record from both high school and university
• Professional written and spoken English with excellent presentation skills
• Familiar with C, Python and Bash
• Familiar with linux boot up process
• Linux kernel, boot and system-level architecture skills
• Experience of bootloader development, such as u-boot
• Software development on Arm or non-X86 platforms
• Linux debugging and resolution abilities
• Ability to be productive in a globally distributed team
• Ability to learn fast to work on cutting edge technologies
• Ability to travel internationally twice a year for company events up to two weeks long

Nice-to-have skills

• Experience with system firmware, including uboot, UEFI, ACPI, DSDT, boot loaders, device firmware
• Experience debugging power management on PCI ASPM, SATA ALPM, low power profiles
• Experience in board design, bring up, and validation
• Experience with electrical engineering design tools (e.g. schematic capture, layout)
• Computer architecture knowledge of x86, ARM, RISC-V
• Familiarity with Ubuntu development model
• Shell/Python scripting skills

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

Canonical's OEM Delivery Team works with tier-one OEM, IHV, and ODM customers to pre-load Ubuntu Classic, Ubuntu Core, and bring Ubuntu directly to millions of users. You will have the opportunity to enable cutting edge technology with world leading partners, and become the first contributor to the innovation. We are proud to have an office in Taipei where we do a wide range of software engineering work, from cloud to desktop, server and IoT.

We are hiring a Senior Ubuntu Embedded IoT System Engineer to represent Canonical with leading OEMs, ODMs, and silicon partners and to deliver the best user experience of Ubuntu on partner hardware for Robotics, Automotive, SmartNIC, Medical device, Industry gateway and many other products.

In this role, you will use your knowledge of Linux and hardware and improve Ubuntu for millions of users. 

We work with the world's most significant silicon companies - Intel, AMD, Nvidia, Mediatek, Hisilicon, Samsung and more - to optimize Ubuntu on their next-generation chips. We also work with OEMs and ODMs - Dell, HP, Lenovo, Advantech, ADLink and many more - to ensure that Ubuntu works perfectly on their hardware.

This fast-paced environment requires excellent time management, insightful debugging, critical thinking, problem-solving skills and deep knowledge of the Linux system​.

Location: This role will be office based in Taipei, TW

The role entails

• Provide software and system engineering services for OEM and ODM customers
• Work closely with partners on platform bring up
• Work with project managers and Field/QA engineers to identify, triage, and fix critical problems
• Work with individual upstream projects to find and apply patches for bugs
• Conduct root cause analysis, collect and organize details to reproduce and explain results
• Facilitate communication between Ubuntu, firmware and hardware engineering teams
• Occasional international travel to the EU, USA, Taiwan and China

What we are looking for in you

• A Bachelor or higher degree in STEM, preferably Computer Science or Electrical Engineering
• Exceptional academic track record from both high school and university
• Professional written and spoken English with excellent presentation skills
• Familiar with C, Python and Bash
• Familiar with linux boot up process
• Linux kernel, boot and system-level architecture skills
• Experience of bootloader development, such as u-boot
• Software development on Arm or non-X86 platforms
• Linux debugging and resolution abilities
• Ability to be productive in a globally distributed team
• Ability to learn fast to work on cutting edge technologies
• Ability to travel internationally twice a year for company events up to two weeks long

Nice-to-have skills

• Experience with system firmware, including uboot, UEFI, ACPI, DSDT, boot loaders, device firmware
• Experience debugging power management on PCI ASPM, SATA ALPM, low power profiles
• Experience in board design, bring up, and validation
• Experience with electrical engineering design tools (e.g. schematic capture, layout)
• Computer architecture knowledge of x86, ARM, RISC-V
• Familiarity with Ubuntu development model
• Shell/Python scripting skills
• Fluency in written and spoken Mandarin Chinese

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

The role of a Silicon Alliances Ecosystem Development Manager at Canonical

Ubuntu is the fastest growing enterprise Linux, the leading platform for public cloud computing, and the engineer's favorite way to drive the future. 

Our goal is to help the enterprise embrace open source from end to end, across every class of compute and every class of application, starting with the linux kernel itself, to infrastructure solutions like OpenStack and Kubernetes, all the way up to data, security, analytics and serverless capabilities. 

The Silicon Alliances Team works with the leading semiconductor companies  to combine open source adoption with innovative optimizations to get the most from each new chip. With our semiconductor partners, we develop joint product roadmaps, drive delivery, formulate go-to-market plans and conceptualize new business models, enabling differentiated hardware and robust product life-cycle support while still anchored to best-in-class Ubuntu. The end goal is a frictionless experience to deploy, maintain, and develop on any hardware from cloud to edge. 

The successful candidate is someone who is passionate about both hardware and software technology with interest to grow into business development.  We are hiring for positions across early career to senior roles, with scope ranging from small exploratory partnerships to managing our largest and most strategic partnerships.

If you are someone who can navigate complex new technical challenges, learn quickly, and architect solutions and strategies across global teams, this challenging role is for you.

Location:  We are for hybrid work; mix of on-site in our Taipei office and remote from home.   Global travel to sprints, events, and partner meetings is part of the role.

What your day will look like 

• Represent Canonical, its solutions and software to partners.
• Develop a deep understanding of silicon partner strategies, technologies and roadmaps and identify overlap with Canonical’s current and future products.
• Work cross-functionally with engineering, product, marketing and sales teams to facilitate new business, leading definition of joint products, solutions and complex programs relying heavily on your communicating and influencing skills.   
• Ensure that robust project plans are created, tracked, and executed. 
• Develop joint Go To Market strategy and campaigns with silicon partners, manage market messaging, collateral and launch plans across products.
• Negotiate successful contracts.

What we are looking for in you

• B.A / B.S / B.E degree in science, technology and/or engineering.
• Fundamental understanding of the semiconductor industry and ecosystem.
• Experience in software and system architecture is preferred.
• Customer-facing experience in business development, technology strategy or similar functions.
• Excellent communication skills; ability to grasp complex material and synthesize key points.
• Ability to think and work at both strategic and tactical levels
• Disciplined and self motivated for a remote-first workplace environment.

Additional skills that you might also bring

• Experience with open source software and open source business models is preferred.
• Team leadership or program management experience.

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.  

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.

• Fully remote working environment - we’ve been working remotely since 2004!
• Personal learning and development budget of 2,000USD per annum
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Parental Leave
• Employee Assistance Programme
• Opportunity to travel to new locations to meet colleagues at ‘sprints’
• Priority Pass for travel and travel upgrades for long haul company events

About Canonical

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

#LI-remote 

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier's Playable Ads team (https://www.appier.com/en/blog/what-is-playable-ads)  builds AI-powered playable and video ad experiences that drive dramatically higher engagement and conversion for the world's leading apps and games. We're looking for a Senior Backend Developer with deep expertise in distributed systems and modern backend architecture to design and build the scalable, high-performance services behind these experiences — from creative generation pipelines to the infrastructure that brings our ML models to production. You'll work across microservices, messaging systems, data persistence layers, and system performance optimization, while partnering with ML scientists on MLOps workflows to continuously ship and serve new model versions to end users. You'll also collaborate closely with frontend engineers and product managers to deliver seamless, cross-functional outcomes.

If you're passionate about building backend systems that operate at scale, thrive in cross-functional teams, and want your code to directly power AI-driven ad experiences reaching millions of users, we'd love to talk.

What You'll Work On

• Architect and develop robust, scalable backend services and APIs using ASP.NET Core, owning sizable projects from system design through production operation.
• Design efficient database schemas and optimize data access logic across SQL and NoSQL data stores.
• Implement message-driven communication with high reliability and fault tolerance.
• Partner with ML scientists to build and maintain MLOps pipelines — including model versioning, deployment, serving, and monitoring — ensuring new models are reliably delivered to production.
• Lead system designs, drive technical roadmap decisions, and provide guidance to team members.
• Proactively identify performance bottlenecks, profile critical components, and implement scalable solutions.
• Own and continuously improve system observability, incident management, CI/CD pipelines, and deployment workflows.
• Explore and integrate AI-assisted development tools and emerging technologies to boost team productivity.
• Participate in on-call rotation to ensure product reliability and scalability.

What We're Looking For 

[Minimum qualifications]

• Proficiency in C# and ASP.NET Core, or experience with other object-oriented languages (e.g., Java, Go) with willingness to cross-train in the .NET stack.
• Proven experience in distributed systems, microservice architectures, and designing scalable backend systems.
• Strong expertise in PostgreSQL, MongoDB, or equivalent SQL/NoSQL databases, with hands-on experience in ORM frameworks such as Entity Framework Core.
• Advanced knowledge of message broker systems such as RabbitMQ, Kafka, or NATS.
• In-depth understanding of IO-bound operations, threading, parallelism, and asynchronous programming.
• Practical experience with Docker, container-based deployment workflows, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with CI/CD pipelines, observability tooling, and production operational practices.
• Demonstrated ability to write clean, well-documented code and solve complex problems analytically.
• Clear communicator who can explain technical decisions to both technical and non-technical stakeholders and enjoys working in a fast-paced, collaborative environment.
• Proficient in using LLM-powered development tools (e.g., GitHub Copilot, Cursor, ChatGPT) to accelerate productivity.

[Preferred qualifications]

• BS/MS degree in Computer Science or a related field.
• Experience with MLOps practices such as model serving infrastructure, A/B testing frameworks, or ML pipeline orchestration tools.
• Leadership experience such as mentoring junior engineers, leading code reviews, or facilitating agile processes.
• Experience with performance profiling and debugging tools, high-performance network services, or FFI integrations for performance-critical components.
• Solution-oriented mindset with a focus on system sustainability, and willingness to explore emerging technologies into backend systems.

[Language]

Fluent in English, Japanese language proficiency is not required.

Open to overseas candidates/Visa Support
This position can be based in Tokyo, Japan or Taipei, Taiwan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth relocation transition to Japan.

#LI-AK1

Financial institutions worldwide trust Numerix’s motto, “When numbers matter,” because our platforms handle the most complex nonlinear structured products with precision and transparency. Our solutions support front office teams end-to-end - from issuance and trading through pricing, valuation, RFQs, OMS, and trade lifecycle control - while enabling risk and middle office teams to holistically measure, optimize, and validate risk across capital, hedging, and regulatory requirements.  Numerix is a powerhouse of worldclass quantitative, financial engineering, and technology talent. Our fast-growing business combines disciplined innovation and strategic acquisitions with strong organic growth fueled by long-term customer success, setting the standard for multi-asset analytics in an increasingly complex financial landscape.

The Customer Success team is pioneering a new structural initiative to scale customer success enablement and adoption of Numerix solutions across APAC. To support this effort, we are adding a Customer Success Enablement Consultant who will help shape, structure, and execute adoption strategies across the APAC book of business. This role reports directly to the Head of Customer Success, APAC.

You will be the face of Numerix for training, product adoption, and customer enablement, working directly with banks, securities firms, insurance companies, and investment managers. You will play a central role in cross-functional collaboration at Numerix with Product, Professional Services, Customer Support, and Sales teams to strengthen and scale client adoption.  This role is designed for early career professionals who want to specialize in customer success enablement. While the position has meaningful ownership and visibility, it is a solo-contributor role that is supported by senior Customer Success leadership.

In this role, you will build rare expertise at the intersection of quantitative finance, enterprise software, and customer enablement. You will gain exposure to front, middle-risk office workflows across leading financial institutions, develop skills in data-driven adoption and training design, and shape how Numerix solutions are embedded into customers’ day-to-day operations.  Over time, this role can evolve into senior enablement, customer success management, product strategy, or commercial roles within Numerix.

What You'll Do:

• Design and deliver training and enablement content tailored to different customer lifecycle stages, personas, and domain verticals.
• Develop a deep understanding of customer workflows and pain points, translating Numerix capabilities into integral parts of customers’ day-to-day operations.
• Drive user adoption by expanding Numerix solutions across core and adjacent user groups within client organizations.
• Execute training and adoption campaigns at scale across the APAC customer base, measuring outcomes and effectiveness.
• Assist in designing enablement assets across onboarding, reinforcement, and advanced usage, leveraging scalable formats such as digital content, self‑service resources, and structured learning paths.
• Contribute to the evolution of Numerix’s enablement framework, balancing high‑touch engagement with scalable digital adoption approaches.
• Deploy and monitor adoption and product utilization metrics to identify trends, feature value, and growth opportunities.
• Act as the voice of the customer by using metrics and direct feedback to inform Product and Engineering teams.
• Collaborate with senior Customer Success and Sales stakeholders to align on account strategy and support execution.
• Assist with the implementation and optimization of tools, processes, and workflows to enable customer success at scale.

Success in this role is measured by enablement outcomes and adoption impact in partnership with Customer Success and Sales teams. While this role does not own commercial targets directly, it plays a critical enabling role in improving product utilization, customer satisfaction, and long-term retention.

• Growth in product utilization and Numerix adoption across enterprise customers in APAC.
• Alignment of the product roadmap with APAC customer needs and usage trends.
• Scaled, repeatable adoption and training capabilities across Numerix.

What We're Looking For:

• Bachelor’s degree in business, economics, finance, or a technical discipline (e.g., engineering or science).
• 2+ years of experience in a post-sales, customer-facing role (e.g., Customer Success Manager, Business Analyst, Project Manager) with exposure to derivatives at financial institutions or fintech companies
  OR MBA or Master’s degree in management, marketing, or business analytics.
• Strong collaboration skills and experience working cross-functionally.
• Customer-centric mindset with curiosity for complex products and how they deliver value.
• Excellent communication skills with the ability to engage users and act as an empathetic internal advocate.
• Full professional proficiency in English.
• Willingness to travel up to 25%.

Extra Credit:

• CFA, FRM, or related financial analysis and risk management certifications.
• Hands on training or enablement experience, including content creation and in-person delivery.

What We Offer:

In addition to competitive compensation, benefits, and perks, this role offers the opportunity to grow into a global customer success enablement function. You will build deep expertise in Numerix’s enterprise solutions, gaining a strong competitive edge and differentiated knowledge within the global capital markets community.

Where You’ll Work:

This role is a hybrid role based at one of the following Numerix APAC offices: Singapore, Hong Kong, or Taipei.

An important note on salary:

The annual pay range for this position is based on the preferred primary location of the role which is listed above. If you are applying to this role at a location that is not the preferred primary location, please keep in mind the salary range will vary and may fall outside of what is listed. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Also note that unsolicited contact from third-party recruiters or agencies will not be considered at this time. We respectfully request no outreach from agencies.

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 5+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Experience working with ClickHouse is a big plus
• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

Appier’s solutions are powered by proprietary deep learning and machine learning technologies to empower every business to use AI to turn data into business insights and decisions. As a (Junior) Software Engineer, Data Backend, you will be involved in helping to build critical components of this platform.

Responsibilities

• Design, develop, and maintain RESTful APIs using Python.
• Build and manage robust data warehouses utilizing ClickHouse, Trino/Presto and Pinot.
• Design and develop data pipelines using Apache Airflow and Apache Spark.
• Work closely with cross-functional teams to develop automation tools that streamline daily operations.
• Implement state-of-the-art monitoring and alerting systems to ensure optimal system performance and stability.
• Address queries from applications in a timely and effective manner, ensuring high client satisfaction.
• Work on cloud platforms such as AWS and GCP, leveraging their capabilities to optimize data operations.
• Utilize Kubernetes (k8s) for container orchestration to facilitate efficient deployment and scaling of applications.

About you

[Minimum qualifications]

• BS/MS degree in Computer Science
• 2+ years of experience in building and operating large-scale distributed systems or applications
• Experience in Kubernetes development, Linux/Unix
• Experience in managing data lake or data warehouse
• Expertise in developing data structures, algorithms on top of Big Data platforms
• Ability to operate effectively and independently in a dynamic, fluid environment
• Ability to work in a fast-moving team environment and juggle many tasks and projects
• Eagerness to change the world in a huge way by being a self-motivated learner and builder

[Preferred qualifications]

• Experience working with ClickHouse is a big plus
• Contributing to open source projects is a huge plus (please include your github link)
• Experience working with Python, Scala/Java is a plus
• Experience with Hadoop, Hive, Flink, Presto/Trino and related big data systems is a plus  
• Experience with Public Cloud like AWS or GCP is a plus 

#LI-AK1

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

Open to overseas candidates/Visa Support

This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

Our engineering team has a solid technical background, which would be a great environment for a skilled engineer.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 5+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

Language

Fluent in English or Chinese.

#LI-AK1

About Appier 

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you’ll directly impact the efficiency and profitability of ads campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

What You’ll Work On

• Design, implement, and productionize state-of-the-art ML models to improve campaign outcomes.
• Analyze large-scale user and auction data to discover predictive patterns and alpha signals that enhance bidding and personalization.
• Collaborate cross-functionally with engineering, product, and data teams to identify opportunities, define roadmaps, and deliver impactful solutions.
• Continuously improve system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning).

What We’re Looking For

• Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
• 4+ years of industry experience in ad tech, with a focus on performance optimization.
• Proven experience in applied machine learning, especially in CTR prediction, recommendation systems.
• Proficiency in Python and experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills—able to lead end-to-end projects across product, data, and engineering.
• Bonus: Experience working on high-throughput, low-latency real-time systems (e.g., RTB engines, stream inference).

#LI-AK1

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers.
• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers.
• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.).
• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control.
• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM.
• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA).
• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection).
• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications.
• Vector Database: Experience with Vector DBs for RAG applications. 

Why Join Us? 

• Innovative Environment: Be part of a company at the forefront of technology to provide security in GenAI, with opportunities to work on groundbreaking projects. 
• Growth Opportunities: Take your career to new heights with our career development programs and growth-focused culture. 
• Dynamic Team: Join a multi-cultural and dynamic team of dedicated professionals who inspire and support each other. 
• Compensation: Competitive salary and benefits package, commensurate with experience and performance. 

Application Process 

• If you're ready to embark on this exciting journey and contribute to shaping the future of GenAI security, please submit your resume outlining your relevant experience and motivation for applying.
• If you prefer a direct connection or have specific questions about our vision, feel free to reach out to our Co-founder, Alvin Kwock, via LinkedIn. 

About Appier 

Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of “Making AI Easy by Making Software Intelligent,” Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud—each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.

About the role

We are looking for a Machine Learning Engineer Intern to join the Enterprise Solution Science Team.
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems.

We are currently looking for individuals who can commit to an internship schedule of 2~4 days (16~32 hours) per week. This internship opportunity entails a minimum duration of 6 months, beginning from the present date. We advise prospective applicants to carefully assess their availability for this commitment before submitting their applications.

[ Due to the hybrid work model, this position cannot be fully remote and requires working in the Taiwan office. ]

What You’ll Work On

• Assist in operating robust ML job execution frameworks for training, inference, and post-processing.
• Assist in building and maintaining internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Assist in implementing data infrastructure and monitoring tools like Prometheus and Grafana.
• Create internal tools and services to simplify ML experimentation and production workflows.
• Collaborate closely with senior ML engineers and scientists to turn research outputs into user-facing product features

What We’re Looking For

[Minimum qualifications]

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 2+ years of experience in ML or engineering
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms

[Preferred qualifications]

• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Familiar in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity
• Understanding of core ML and deep learning concepts
• Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

Dcard 是在年輕族群有極高滲透率與影響力的社群平台。我們致力於打造一個讓每個人都可以放心分享自己故事的地方，讓平凡人分享不平凡故事的新世代社群服務。面對快速變化的社群生態，我們期待更多優秀的人才加入 Dcard。

為了達成這個目標，我們需要 Machine Learning Team Lead 加入我們，你將帶領 Dcard 的機器學習團隊，透過大規模使用者數據中發掘洞察，持續提升使用者體驗及產品黏著度。歡迎加入這個熱愛挑戰的技術團隊，一起打造被千萬人喜愛與使用的產品！

你將在團隊參與⋯

• 帶領 Dcard 機器學習團隊，制定並推動團隊目標。
  • 與產品及商業團隊密切合作，確保模型設計、資料流程與系統建構，高度對齊 Dcard 社群、廣告產品策略，並支持團隊成員的職涯發展與技能成長。
  • 負責推薦演算法的設計、開發與優化，並驅動推薦系統的技術創新，包含模型訓練、Feature pipeline 設計、個人化推薦策略，以及系統穩定性維護。
• 與 Infrastructure 及其他 ML/Engineering 等團隊緊密合作，共同建置 Dcard 機器學習相關系統。並從大量使用者數據中分析、挖掘洞察，以迭代演算法並優化產品體驗。
• 與團隊成員及公司技術高階主管共同制定技術發展願景與中長期 Roadmap，持續提升團隊技術力與影響力。

我們期待看到一個優秀的 Machine Learning Team Lead 具備以下能力

• 具備出色的技術領導能力，至少 1 年以上 Engineering Manager 的經歷或兩年以上工程專案管理經驗，曾經帶領不同技術背景、不同職能的夥伴達成共同目標。
• 五年以上軟體開發經驗，熟悉軟體專案開發與設計原則 (如 design principle, software architectures）。
• 熱愛思考使⽤者的需求，動手將演算法打造成產品。
• 精通 Python，並對學習新技術持開放態度，具備良好的軟體工程實踐經驗。
• 了解機器學習演算法及工作流程，例如 NLP、Deep Learning、Recommendation System 等。
• 重視程式品質與系統可維護性，面對需求能夠提出最小可行性系統架構及了解其中的 tradeoff。
• 具備良好的溝通與跨部門協作能力，能清楚表達技術決策、引導團隊對齊方向，並與其他團隊順利合作。

如果你擁有以下能力，那就更棒了！

• 有 Tech Lead 經驗或系統架構師經驗。
• 面對不熟悉的議題（非技術相關，如人事或組織議題），能夠拆解問題並思考討論解決方案。
• 具有高流量或者大型系統開發經驗。
• 能夠執行高品質的 code review or design review。
• 熟悉分散式系統設計，能夠處理巨量資料或開發大型系統。
• 熟悉機器學習系統商業應用場景、系統設計。
• 能夠解決主流 ML framework 在巨量資料開發時遇到的問題。
• 熟悉以下其中幾項技術：
  
  • PyTorch / Scikit-Learn / XGBoost / Tensorflow
  • Airflow
  • GCP / Kubernetes
  • SQL / NoSQL / Redis
  • Linux

薪資待遇

• 面議

注意事項

• 若不符合職位需求的面試者，將不另行通知。
• 如果尋找到合適的人選加入，職缺可能會提前關閉。
• 如果人選在申請過程中提供不實資訊，Dcard 有權取消雇用提議。
• 在 Dcard，每位夥伴都是平等的，我們重視每個人的多元性。Dcard 致力於打造一個多元與共融的環境，尊重並且包容每一位夥伴。我們相信，平等與多元能夠帶來無限創新的可能。因此，我們的招聘流程提供每位應徵者平等的就業機會，並落實無歧視的就業環境。

狄卡科技股份有限公司及其關係企業基於「員工招募」之目的，將蒐集您的「識別類、特徵類、社會情況、教育、考選、技術或其他專業、受僱情形」等個人資料，或您主動為求職目的而提供的資料（履歷、自傳等），以在招募期間及地區內，作為本次招募作業審核、評選、聯繫之用。如您未獲錄取，我們仍將保留您的資料以便向您通知新的職缺機會。

您得以聯繫狄卡科技股份有限公司及其關係企業（電子信箱：hr.ta@dcard.cc）行使請求查閱、補充、更正；請求提供複製本；請求停止蒐集、處理、利用；請求刪除個人資料等權利。如您未正確、完整提供各項資料，將可能影響聘用審核、評選或聯繫。

【 About the role 】

Join Tomofun on our mission to bring joy and innovation to every pet lover in the world! As a pioneer in pet tech, we seek a strategic HR partner and fellow pet lover to manage the full talent funnel with a focus on our highly critical roles, including but not limited to technical (R&D) and digital marketing functions. 

You’ll leverage AI, automation, and data-driven analysis to streamline all recruitment and employer branding bottlenecks, ensuring we attract world-class talent who are also aligned with our pet-loving culture. You will also serve as a trusted advisor to line managers, guiding them on foundational HR best practices and policies to drive organizational impact. 

If you are driven by purpose, ready to make a significant impact on our global talent landscape and share our deep commitment to pets, come join our pack!

【 What you'll do 】

1. Strategic Talent Acquisition

• Lead the full-cycle recruitment process for highly critical technical (R&D) and digital marketing roles, ensuring a pipeline of world-class candidates.
• Identify bottlenecks and critical points in the talent acquisition process and leverage AI tools and automation to streamline sourcing, screening, and candidate management, achieving measurable efficiency growth.
• Drive strategic sourcing and attraction efforts across various online/offline channels, continuously exploring new approaches to engage passive talent.
• Partner with hiring managers to deeply understand workforce needs, define ideal candidate profiles, and ensure a streamlined, efficient hiring process.

2. Employer Branding

• Design and execute a comprehensive full-channel (online and offline) Employer Branding Strategy that authentically communicates Tomofun's culture, mission, and career value proposition to target talent pools.
• Implement automation in employer branding efforts, such as content distribution, social media scheduling, and candidate lead nurturing, to maximize reach and engagement with minimal manual effort.
• Cultivate a positive, engaging, and professional candidate experience throughout the entire recruitment and onboarding journey.

3. Talent & Organizational Impact (HRBP)

• Analyze key HR and recruitment metrics (e.g., time-to-hire, source-of-hire, automation ROI) to assess the effectiveness of initiatives and provide data-driven recommendations for continuous optimization.
• Guide and advise line managers on foundational HR policies, processes, and best practices, leveraging any prior HRBP knowledge or desire to grow in this area.

【Who you are】

• Minimum of 4-7 years of HR experience, with at least 5 years dedicated to recruitment.
• A minimum of 2 years of technical recruitment experience within the high-tech/software industry, specifically recruiting R&D (Engineering) and/or Digital Marketing talent.
• Proven track record in designing and implementing full-channel employer branding strategies.
• Demonstrated experience in implementing process automation and leveraging tools to enhance recruitment and/or marketing efficiency.
• Nice-to-have: Experience in an HRBP role or demonstrated knowledge/interest in exploring the HRBP function.
• Flexible, proactive, and resilient, thriving in a fast-paced, high-growth startup environment.
• Passionately aligned with Tomofun’s mission to innovate for pets and pet parents.

【 Perks 】

• The rare opportunity to work with an international team from Taiwan HQ and make an impact on a global scale
• Join a group of talents who have a passion to change pet parents and pet's lives through technology
• The freedom to voice yourself in an open, trusting and transparent working environment
• All-hands meetings to update entire organization on company goals, strategic directions and the opportunity to openly ask questions/give feedback
• Bring your furbabies to work in a pet-friendly office space designed to make your pet feel relaxed and comfortable
• Join our volunteer program. We are passionate about giving back to society.
• Various club activities to cultivate interests and have fun with Tomofuners after work!
• Comfortable and creative office with kitchen, sofa, and quiet areas. Everyone can find their ideal place to work!
• Afternoon tea time twice a month and monthly birthday parties. We celebrate all the happy moments together.

【 Benefits 】

• Flexible Time-off; work hard and take time off when you need it
• Flexible working hours and work-from-home once a week 
• Medical insurance and a free yearly health checkup
• Yearly health checkup subsidy for your pets
• Weekly grooming service for your fur babies
• 2 free Furbos for each full-time team member
• Internal training workshop and external training subsidy for you to expand your skill set and continuously learn and grow

#LI-HYBRID

About the role 

We are seeking an experienced Machine Learning Lead to helm our Machine Learning team. 

In this pivotal role, you will be the engineering architect behind Vulcan’s core AI capabilities. You will act as the nexus between Research, Platform, and Product. Your mission is to translate cutting-edge findings on GenAI threats into robust, production-ready machine learning models that power our GenAI Security Guardrails (Blue Team) and Automated Vulnerability Assessment (Red Team). 

Crucially, you will serve as the bridge between deep tech and business strategy, articulating technical constraints (like FLOPS and latency) to leadership and clients while guiding the engineering direction. 

Key Responsibilities

1. Model Development & Optimization (Training & Fine-tuning):

• Research to Production: Collaborate with the Security Research Team to operationalize new threat detection techniques. They identify the "what" (e.g., new prompt injection patterns); you determine the "how" (model architecture, training strategy). 
• Fine-tuning & Adaptation: Lead the fine-tuning of Language Models (e.g., using LoRA/PEFT) to optimize for our supported muti-lingual languages and specific security intents.
• Multimodal Readiness: Prepare the system for Multimodal (Text + Image/Audio) capabilities. Evaluate and implement models to detect visual prompt injections and non-textual threats as the product evolves. 

2. MLOps& Data Infrastructure: 

• Enhance & Scale MLOps: Take ownership of our existing ML pipelines. Focus on optimizing and scaling CI/CD/CT workflows to improve training efficiency and deployment velocity. 
• Data Governance: Implement and enforce rigorous Data Versioning strategies (e.g., DVC) to ensure complete reproducibility of model artifacts and datasets.
• Monitoring & Reliability: Maintain rigorous monitoring for model drift and performance, ensuring high reliability in a production security environment.

3. Cross-Functional Implementation & Leadership:

• Platform Collaboration: Work closely with the Platform Engineering Team to integrate ML models into the broader product architecture. Ensure seamless interaction between model inference services and the main platform logic. 
• Team Leadership: Lead and mentor Machine Learning Engineers, fostering a culture of engineering rigor, code quality, and operational excellence.
• Resource Management: Manage GPU resources and compute budgets effectively for both training and inference workloads. 

4. Technical Strategy & Stakeholder Management:

• Translating Tech to Business: Act as the technical voice of the ML team. You must effectively explain complex ML concepts (e.g., FLOPS, quantization trade-offs, model latency vs. accuracy) to executive leadership and clients. 
• Cost-Benefit Analysis: Justify compute resource investments. Articulate the trade-off between infrastructure costs (GPU hours) and performance gains to non-technical stakeholders. 

Qualifications

• Experience: 5+ years in Machine Learning Engineering, with specific experience in leading technical projects or mentoring engineers. 

• Communication & Business Acumen: Exceptional ability to distill complex technical topics (e.g., compute complexity, infrastructure costs) into clear, business-relevant insights for decision-makers. 

• MLOps Proficiency: Proven experience in optimizing ML pipelines and infrastructure. Familiarity with tools like MLflow, Kubeflow, Airflow, and Data Versioning tools (DVC, etc.). 

• Engineering First: Proficient in Python, Docker, and Kubernetes. You treat ML models as software artifacts that need testing and version control. 

• NLP & LLM Expertise: Experience with Transformer architectures, Embeddings, and LLM fine-tuning. Familiarity with frameworks like PyTorch, Hugging Face, and vLLM. 

• Language Support: Experience processing or fine-tuning models for multi-lingual environments. 

Nice to Have

• Multimodal Expertise: Experience working with Multimodal models (Image-to-Text, Text-to-Image, VLMs like CLIP, LLaVA). 

• Security Awareness: Understanding of GenAI security threats (e.g., Prompt Injection). 

• High-Performance Computing: Experience optimizing inference speed (quantization, distillation, vLLM) for real-time applications. 

• Vector Database: Experience with Vector DBs for RAG applications. 

Other Benefits 

To us, people are our greatest asset, and we are more than happy to invest in employees! We create a healthy work atmosphere and provide you with the tools and support for doing your job successfully. With a culture of flexibility and transparency, we believe there should be no barriers, and everyone’s contributions matter. 

Work Life Balance is a must  

• 15 days annual leaves (pro-rata for partial month at first year) 
• 5 days full-pay sick leaves, 3 days menstrual leaves 
• Health check subsidy 
• Ergonomic-design chair and fully-equipped devices for work
• Hybrid remote work and flexible working hour.

Grow together & keep learning

• Conferences & external subsidy 
• Learning clubs to share technical skill (e.g: Frontend/Backend tech sharing, Blockchain...etc) 

Work Hard, Play even Harder 

• Various entertainment & sports clubs, attend basketball clubs today, and play board game tomorrow! 
• Snacks & beverage to refill your energy anytime 

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

The Impact You’ll Make at Appier

Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery.

In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.

What You’ll Work On

• Leverage scientific methods to improve ads measurement.
• Drive online experiments to continuously improve ads effectiveness.
• Own the project independently.
• Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.

What We’re Looking For

• Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field.
• 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods.
• Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills.
  

#LI-AK1

About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the Role

We are looking for a Senior Software Engineer, Machine Learning to join the Enterprise Solution Science Team. 
This team focuses on applying cutting-edge ML technologies to real-world marketing problems by combining them with omnichannel customer data.
In this role, you will help bridge the gap between research and production by building and optimizing scalable, high-performance ML infrastructure — including data pipelines, dashboards, and monitoring systems.

What You’ll Work On

• Design and operate robust ML job execution frameworks for training, inference, and post-processing.
• Build and maintain internal API servers and developer tools to orchestrate ML jobs on Kubernetes (via Argo Workflows, Helm, Terraform).
• Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation.
• Design and monitor data infrastructure using PostgreSQL and other databases.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Create internal tools and services to simplify ML experimentation and production workflows.
• Collaborate closely with ML scientists to turn research outputs into user-facing product features
• Partner with engineers, PMs, and other cross-functional teams to deliver high-quality AI products

What We’re Looking For (Minimum)

• Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred)
• 3+ years of practical experience in ML platform engineering, MLOps, or data infrastructure. Includes deploying enterprise-grade ML systems (e.g., model serving, pipeline automation), integrating data sources, and building dashboards.
• Proficiency in at least one programming language such as Python, Java, or Go, along with solid understanding of data structures and algorithms
• Experience in cross-functional collaboration and leading projects 
• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in using LLM-powered tools (e.g., Github Copilot, ChatGPT) to boost development productivity

What We’re Looking For (Preferred)

• Industry experience in the MarTech domain, with a strong passion for building customer-centric products
• Strong ownership mindset and architectural thinking, with the ability to lead cross-functional platform initiatives
• Understanding of core ML and deep learning concepts
• Hands-on experience with end-to-end ML workflows and AI system architecture, and familiarity with platforms like Kubeflow, MLflow, or Apache Submarine.
• Familiarity with distributed computing frameworks (e.g., Apache Spark)
• Proficiency with cloud-native ecosystems (e.g., Kubernetes, Helm, Prometheus, Argo Workflows)

#LI-AK1

About Appier

Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.

About the Role

We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale.

In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.

What You’ll Do

• Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows.

• Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform.

• Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation.

• Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability.

• Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly.

• Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products.

• Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more.

• Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments.

• Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred).

• 5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale.

• Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design.

• In-depth experience with cloud environments (AWS or GCP) and cloud-native service management.

• Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices.

• Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops.

• Familiarity with Git workflows and Linux-based development environments.

• Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.

What Will Set You Apart

• Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact.

• Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives.

• Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker.

• Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi.

• Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving.

• Familiarity with real-time online inference architectures and batch processing trade-offs.

• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

• Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).

Why Join Appier?

At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!

#LI-AK1