ABOUT THE TEAM

The Taiwan Team at Anduril is responsible for capturing and expanding business in Taiwan. The team networks across the company and customers to orchestrate operations across business lines and functional areas to deliver technology to Taiwan. The team is comprised of Business Development, Program Management, Operations and Supply Chain professionals responsible for delivering capability at scale in a timely manner.

WHAT YOU’LL DO

• Strategic Leadership & Customer Engagement: Partner with the Taiwan Country Lead to define and execute the country strategy, driving capture efforts, effective customer engagement, and ensuring clarity and focus across a broad portfolio of programs, recruiting, and regional initiatives.
• Operational Excellence & Scaling: Lead the resolution of complex business operations problems to ensure smooth scaling in Taiwan and the broader region. Facilitate cross-functional collaboration, overseeing program planning, budget management, import/export of technology, and overall operational efficiency.
• Enable Business Lines & Cohesive Execution: Unify and enable Anduril's Divisions and Business Lines operating in Taiwan, providing critical onboarding, customer expertise, planning support, and communications. Drive coherent cross-business line execution, converting pilot programs to programs of record, ensuring excellent sustainment, and representing product/engineering needs.
• Localization & Industrial Base Development: Spearhead effective localization efforts in close partnership with Supply Chain, Production, Deployments, and Sustainment teams. Develop local capacity and resilience, contribute to the industrial base, and establish strategic partnerships to shore up Anduril’s long-term success and longevity in-country.
• Infrastructure, Facilities & Security: Establish and scale the necessary physical and operational infrastructure across the region. This includes facilities management (upgrades, new developments, operational performance), and robust security measures (physical, personnel, and information systems) in collaboration with HQ SMEs.
• Logistics & Hardware Oversight: Direct logistics operations, including shipping, inventory management, and last-mile delivery of hardware assets, ensuring seamless support for in-country programs.
• Export Control & Regulatory Compliance: Ensure strict adherence to all export regulations (e.g., EAR, ITAR) and other local and international compliance requirements for hardware and knowledge transfers, working closely with Anduril’s legal and compliance teams.
• Talent & Team Development: Champion local hiring, conduct headcount analyses, and oversee talent development initiatives, including mentoring, performance measurement, and career progression, fostering a strong Anduril culture in the region.
• Brand & External Representation: Act as a key representative for Anduril to customers, partners, and the public, embodying our ethos and effectively communicating our innovative approach to next-generation defense technology. Work with Communications and USG agencies to develop Anduril's brand in-country.

REQUIRED QUALIFICATIONS

• You have 8+ years of varied experience in an operating role at a high-growth technology company, starting a venture, or in finance or consulting
• You have excellent written and communication skills, and have the ability to communicate in both English and Mandarin
• You love solving complex, ambiguous, cross-functional problems in a people-centric way
• You’re both high ownership and low ego, approaching everything with strong outcome orientation and high humility
• You’re highly detail oriented and data-driven
• You’re discerning and an incredibly fast learner
• Ability to obtain and hold a Taiwanese government security clearance

PREFERRED QUALIFICATIONS

• Previous military or government experience, or experience working with government and/or defense customers
• Previous experience working in the tech industry
• Experience managing technical projects
• Technical acumen and deep familiarity with AI and autonomous systems

About the role

As Anduril expands its partnerships in the Indo-Pacific, we are seeking a Taiwan-based Communications & Public Affairs Manager to support strategic engagements and communications efforts in Taiwan.

The role will provide in-country strategic communications and public affairs support to strengthen Anduril’s presence and partnerships in Taiwan. This role will advise on Taiwan’s political, regulatory, and media landscape while supporting message development, stakeholder engagement, and media strategy.

The consultant will work closely with Anduril’s Global Communications, Business Development, and Government Relations teams. The role will report to the Director, Communications Asia Pacific.

Key Responsibilities

• Advise on Taiwan-specific communications strategy and stakeholder positioning.
• Localize and refine messaging, press materials, and executive briefings (Mandarin/English).
• Build and maintain relationships with key Taiwan-based media and policy stakeholders.
• Support proactive and reactive media engagement, including press inquiries and interviews.
• Monitor relevant media coverage and provide strategic insights and sentiment analysis.
• Prepare briefing materials for senior leadership engagements in Taiwan.
• Support communications planning for executive visits, announcements, and industry events.
• Identify and ideate on opportunities for Anduril to advance the dialogue around defense and technology in Taiwanese public discourse.
• Identify reputational risks and provide rapid-response communications guidance as needed.

Qualifications

• Ideally based in Taiwan with strong knowledge of Taiwan’s political, defense, and media landscape.
• 7+ years of experience in public affairs, strategic communications, or government advisory roles.
• Experience in defense, national security, advanced technology, or related sectors.
• Established media and stakeholder network in Taiwan.
• Native or near-native Mandarin fluency and professional English proficiency.
• Ability to operate effectively in sensitive national security contexts.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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 (LLM & Agents) 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 be responsible for end-to-end development, from problem definition to driving model deployment into production.

What You’ll Work On

• You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
  • Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth.
  • Strategy Agent: Transform raw data into actionable, revenue-driving strategies, and high-potential audience segments.
  • Sales and Service Agent: Drive sales conversion, increase average order value (AOV), deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support.
• Collaborate with product teams to translate product requirements into well-defined machine learning problems
• Work with ML engineers to deploy models into production environments 
• Conduct offline and online evaluation, monitoring, and continuous optimization after deployment
• Stay up to date with the latest research and proactively propose innovative applications

What We’re Looking For (Minimum)

• Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields
• Experience in machine learning, LLM, or software engineering through research, internships, projects, or industry work
• Experience or strong interest in LLM / agentic application development, including:
  • Skills / tools / function calling 
  • AI Protocol (MCP / A2A)
  • Workflow orchestration
  • Benchmark evaluation
• Strong mindset with analytical and problem-solving skills, and passion for learning cutting-edge technologies
• Familiarity with AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot

What We’re Looking For (Preferred)

• Strong focus on quantitative metrics and systematic evaluation
• Industry experience in MarTech and passion for building customer-centric products
• Familiarity with agentic product development concepts such as:
  • Context engineering
  • Harness engineering
  • Evaluation / testing workflows
  • Human-in-the-loop workflows

#LI-AK1

Overview

Join our team as a Hardware Technical Program Manager (TPM), where you will be at the forefront of managing hardware and system integration within cutting-edge consumer wearabloe products. With your expertise in technology innovation, you will guide hardware subsystems through the complete product lifecycle—from sourcing and integration to testing and optimization—ensuring groundbreaking product development and delivery.

Responsibilities

• Oversee the integration and testing of hardware and system products, ensuring compliance with project timelines and technical specifications.
• Drive innovation and development efforts in subsystems such as camera, audio, and electrical engineering (EE)/product design (PD), staying ahead of industry trends.
• Conduct and manage project meetings, leading initiatives from initial concept to final completion.
• Coordinate sourcing of system components, collaborating with vendors to secure essential hardware.
• Lead efforts in performance optimization to improve product quality and user experience across domains like EE, mechanical engineering (ME)/PD, camera, audio, and testing.
• Oversee workflows and manage deliverables with contract manufacturers, developing risk mitigation strategies.
• Develop and maintain detailed project documentation, including schedules, issue tracking, and status updates.

Minimum Qualifications

• 3+ years of experience as a Technical Program Manager in the hardware/electrical engineering (EE)/product design (PD) field, managing hardware programs from concept to mass production, including Final Assembly Testing and Packaging (FATP).
• Bachelor's degree in a technical discipline such as computer science, computer engineering, or a related field.
• Proven experience with FATP and managing projects involving EE, PD/ME, and testing.
• Demonstrated competency in fast-paced environments with the ability to perform under pressure.
• Experience collaborating with contract manufacturers and Joint Design Manufacturer (JDM)/Original Design Manufacturer (ODM) suppliers for components like camera, wireless, and audio.
• Communication skills in both English and Mandarin.
• Proficiency in data analytics, utilizing tools to construct dashboards.

Preferred Qualifications

• 5+ years of experience in hardware EE/PD system integration as a Technical Program Manager.
• Deep understanding of the requirements and development process for creating consumer electronics.
• Experience in developing 0-to-1 products working with both JDM and CM vendor engagement models.
• Familiarity with critical consumer device technologies such as wireless, camera, and audio.
• Project Management Professional (PMP) or Project Management Institute (PMI) certification is preferred.

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

Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development at Ad Cloud Platform Team, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.

About you 

[Minimum Qualifications]

• 2~4 years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems.
• Proficient in one or more of the following languages, Python is preferred.
• Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment.
• Good understanding of Network API Design (e.g., RESTful APIs, gRPC, GraphQL) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines.
• Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies.
• Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
• Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation.
• Highly proficient in AI-assisted development workflows, with hands-on experience leveraging tools such as Cursor, Claude Code, Gemini, or equivalent in day-to-day engineering.
• Solid understanding of agentic coding paradigms, including building or working within multi-step, tool-augmented AI development pipelines.
• Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.

[Preferred Qualifications]

• BS/MS degree in Computer Science or a related field.
• Demonstrated ability to develop complex business features with PM, QA, and front-end engineers.
• Experienced in promoting backend architecture upgrades or improving development processes.
• Exposure to context engineering or AI harness engineering, including designing prompt pipelines, managing LLM context windows, or building structured AI orchestration layers.
• Experienced in building SDKs and applications for iOS or Android.

#LI-AK1

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 Senior Machine Learning Scientist 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 be responsible for end-to-end development, from problem definition to driving model deployment into production.

What You’ll Work On

• Work on one or more of the following topics: user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization
• Collaborate with product teams to translate product goals and business needs into well-defined ML problems during the planning stage
• Work closely with ML engineers to deploy models to production, ensuring reliability and maintainability
• Conduct offline and online evaluation, monitoring, and continuous optimization of models after deployment
• Stay up to date with the latest research and proactively propose innovative applications

What We’re Looking For (Minimum)

• Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields.
• 3+ years of experience applying ML techniques in areas such as prediction, optimization, segmentation, or recommendation.
• Proficient in Python and commonly used ML frameworks such as PyTorch or TensorFlow.
• Impact-driven mindset, strong analytical and problem-solving skills, and a continuous passion for learning cutting-edge technologies.
• Proficient in AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot.

What We’re Looking For (Preferred)

• Practical experience in deploying enterprise-grade ML models, including model pipeline and performance dashboard development.
• Experience in cross-functional collaboration and leading industry projects.
• Industry experience in MarTech and passion for building customer-centric products.

#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 Machine Learning Scientist (LLM & Agents) 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 be responsible for end-to-end development, from problem definition to driving model deployment into production.

What You’ll Work On

• You will contribute to the design, development, and productionization of one or more enterprise AI agents, including:
  • Marketing Agent: Empower marketers to improve conversion rates and drive revenue growth
  • Strategy Agent: Transform raw data into actionable, revenue-driving strategies, and high-potential audience segments.
  • Sales and Service Agent: Drive sales conversion, increase average order value (AOV), deepen brand engagement and customer loyalty through real-time, 24/7 AI-powered support.
• Collaborate with product teams to translate product goals and business requirements into well-defined machine learning problems
• Work closely with ML engineers to deploy models into production environments with reliability and maintainability
• Conduct offline and online evaluation, monitoring, and continuous optimization after deployment
• Stay up to date with the latest research and proactively propose innovative applications
• (Optional) Mentor junior scientists and help evolve team developing culture and standards.

What We’re Looking For (Minimum)

• Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related fields
• 3+ years of experience in machine learning or engineering roles
• Experience designing, developing, and deploying enterprise LLM / agentic applications, including but not limited to:
  • Skills / tools / function calling 
  • AI Protocol (MCP / A2A)
  • Workflow orchestration
  • Benchmark evaluation
• Experience collaborating across functions and leading industry projects
• Impact-driven mindset, strong analytical and problem-solving skills, and passion for learning cutting-edge technologies
• Proficient in AI-powered development tools such as: Claude Code, OpenAI Codex / Codex CLI, Cursor, Windsurf, GitHub Copilot

What We’re Looking For (Preferred)

• Strong focus on quantitative metrics and systematic evaluation
• Industry experience in MarTech and passion for building customer-centric products
• Hands-on experience agentic product development, including
  • Context engineering
  • Harness engineering
  • Evaluation / testing workflows
  • Human-in-the-loop workflows

#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're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

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

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

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 1000+ colleagues in 70+ 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 are hiring an Engineering Manager for Ubuntu Hardware Certification Quality Engineering, to lead the team responsible for the test suites which validate hardware compatibility with Ubuntu Linux (Core, Desktop and Server – see https://ubuntu.com/certified for more information). We work together with silicon companies, OEMs, ODMs and teams within Canonical to ensure a smooth, secure out of the box Ubuntu experience, with success in this role leading to a great Ubuntu experience being offered on more and more devices.

As the Engineering Manager of the Certification Quality team you’ll lead a dedicated testing team, shaping the vision and setting the pace, in collaboration with the rest of the Certification and hardware enablement teams. You will lead the certification test strategy for Canonical’s PC OEM and ODM partnerships, including Advantech, ASUS, Dell, HP,  and Lenovo, deepening the test coverage for both new and existing certified hardware. You will pioneer the use of Canonical’s open source test frameworks and custom designed hardware to drive automated hardware validation of the operating system. This is a challenging position for a quality focused engineering leader, and requires an analytical mind with a passion for test automation and team leadership.

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

This role entails

• Lead the development and maintenance of Canonical’s hardware certification test suite
• Manage timely delivery of certifications as part of the hardware certification programmes
• Work collaboratively to ensure continuous improvement of test practices and tools
• Build and lead a globally distributed team of engineers
• Develop talent through coaching, mentoring, feedback and hands-on career development
• Set and manage expectations with other engineering teams, senior management, and external stakeholders
• Be an active part of the leadership team and collaborate with other leaders in the organisation
• Participate in strong engineering process through code, test plan, architectural reviews
• Engage with teams at Canonical, the open source community and commercial partners
• International travel twice per year for company events up to two weeks long

What we are looking for in you

• Knowledge of low-level embedded software and hardware - BIOS, firmware, bootloaders, ACPI, devicetree, kernel, RTOS
• A good understanding of Linux system architecture
• Knowledge of quality and reliability oriented engineering practices
• Exceptional academic track record from both high school and university
• Undergraduate degree in Computer Science, Electrical Engineering, or another technical subject
• Leadership and commitment to skills development and mentorship
• Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
• Track record of going above-and-beyond expectations to achieve outstanding results
• Track record of delivery of timely, high quality software
• Passion for technology evidenced by personal projects and initiatives
• The work ethic and confidence to shine alongside motivated colleagues
• Professional written and spoken English with excellent presentation skills
• Experience with Linux (Debian or Ubuntu preferred) 
• Excellent interpersonal skills, curiosity, flexibility, and accountability
• Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
• Thoughtfulness and self-motivation 
• Result-oriented, with a personal drive to meet commitments 
• Ability to travel internationally twice a year, for company events up to two weeks long

Nice-to-have skills we would value

• Familiarity with ARM, x86 and possibly RISC-V conventions and low-level enablement details
• Experience with continuous integration and delivery tools and practices
• Experience of automated testing practices in a hardware enablement setting
• In-depth project experience with Python

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 recognise 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
• Employee Assistance Programme
• 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 its 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.

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

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

AI is reshaping how brands connect with consumers — and at Appier, we’re at the forefront. Our Playable Ads team builds AI-powered ad experiences — from interactive playable formats to video ads — that drive dramatically higher engagement and conversion for the world’s leading apps and games. We’re looking for a Senior Machine Learning Scientist to push the boundaries of what’s possible — applying cutting-edge ML, generative AI, and optimization techniques to create smarter, more compelling ad creatives at scale.

If you’re excited about turning the latest advances in AI into products that reach millions of users, and you thrive at the intersection of research and real-world impact, we’d love to talk.

What You’ll Work On

• Apply ML and generative AI techniques to problems such as creative optimization, user behavior prediction, engagement modeling, and dynamic content generation for various creative formats.
• Own the end-to-end ML lifecycle — from problem framing and experimentation through to production deployment and continuous improvement.
• Collaborate closely with product, engineering, and design teams to translate business goals into well-defined ML solutions.
• Conduct offline and online evaluation, A/B testing, and performance monitoring to continuously improve model quality and business impact.
• Stay current with the latest research in areas like LLMs, multimodal models, reinforcement learning, and recommendation systems, and proactively propose innovative applications to the team.
• Mentor fellow scientists and contribute to the team’s technical standards and culture.

What We’re Looking For

[Minimum qualifications]

• Master’s or Ph.D. in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or a related field.
• Solid understanding of modern ML models and algorithms, with hands-on experience in at least one area such as prediction/optimization, generative models, recommendation systems, computer vision, or reinforcement learning.
• Proficient in Python and ML frameworks such as PyTorch or TensorFlow.
• Practical experience taking ML models from prototype to production, including pipeline development and performance monitoring.
• Strong analytical and problem-solving skills with the ability to diagnose model behavior and improve training pipelines.
• Clear communicator who can explain technical ideas 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.
• Ability to balance cutting-edge research with time-to-market constraints, delivering iterative PoCs that validate product hypotheses and translate into production-ready solutions.

[Preferred qualifications]

• Publications in top AI/ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, KDD, RecSys).
• Experience in the advertising technology or MarTech domain.
• Contributions to open-source projects or active involvement in research communities.

#LI-AK1

Hybrid role: 2 days/week in office - Taipei, Taiwan

Role Overview

As a Staff Software Engineer at MediaAlpha, you will be a key member of the engineering leadership.  You will be accountable and responsible for multiple key systems, owning the strategy, architecture, design, and implementation.  You will collaborate with peer leads, work alongside our business partners, and fellow leads to define roadmaps and deliver on our strategic vision.  You will work with peers and leadership to define and drive best practices, refine our SDLC, improve our eco-system (infrastructure, toolsets, processes, etc) and uplift our engineering organization.  

 The ideal candidate is someone who is a masterful engineer, works well across organizational boundaries, is a mentor and leader to other engineers, and improves the conditions of any area they are in.  We are an intentionally small organization, designed for agility, speed, and workability, where ‘Staff Software Engineers’ are at the heart of our organization.

Responsibilities

• Own the full software development lifecycle of implementing high-performance ad-serving software.
• Design, implement, and scale systems that process tens of thousands of high-value transactions a day while also producing elegant and readable code
• Integrate our products with our partners
• Produce elegant and readable Perl code in a Linux environment on Amazon EC2, leveraging also S3, CloudFront and Route 53
• Work as a leader of the organization, jumping in to help out and resolve complex issues, support the other engineers, and ensure a smooth operating environment
• Be part of a leader in the organization that maintains and supports our live MediaAlpha Exchange product
• Work directly with stakeholders in defining our MediaAlpha Exchange Product and developing and testing new features and integrations

Requirements

• Minimum of 7 years of experience in software development
• Strong programming skills, including software engineering methodologies and best practices
• Strong SQL skills and understanding of database and query optimizations
• Ability to quickly get up to speed on our technology platform (Perl) development experience in Unix/Linux operating environments
• Ability to write elegant and readable code
• Be a champion of instilling excellence in coding and quality into the team and culture
• Ability to work independently with minimal supervision
• A self-starter, comfortable with ambiguity and ability to problem solve while paying careful attention to detail
• Experience working with engineers and non-technical stakeholders
• Ability to articulate and communicate clearly, concisely, and thoughtfully
• S. required, preferably in a technical discipline (e.g., computer science)
• Business level English (spoken and written)
• Conversational Mandarin (spoken)

Benefit:

• Unlimited paid time off (PTO)
• Flexible work arrangements
• Comfortable office environment with adjustable desk and ergonomic chair
• Lunch provided on Tuesdays and Thursdays
• Can work from home on Mondays, Wednesdays, and Fridays
• Birthday Hookie, a special day for you to plan and enjoy
• Gym membership stipend
• Coffee / snack station
• Team activities and other opportunities to get to know your colleagues in TW
• Health check-up (every two years)
• Festival Bonuses (TWD2,000 for Dragon Boat and Mid-Autumn Holidays)
• Guaranteed annual salary of 13 months, with additional performance bonuses based on the company performance
• Employee stock plan - Restricted Stock Units

Language Note:

• Our backend is developed in Perl, and we welcome candidates who are willing to learn it after joining.

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 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.

Visit www.appier.com for more information.

About the role

Backend Development Intern at Appier works on a wide range of software projects that may extend solution innovation, impact product development processes or contribute directly to Appier’s product lines.  

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.

After the internship, there is an opportunity to transition from an intern to a full-time position.

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

Responsibilities

• Developing and operate scalable, reliable and maintainable service-based software and related components.
• Improve the scalability and observability of the system.
• Proposing and prototyping solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components.
• Improving system quality with test automation and related toolings.  
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products.

About you

[Minimum qualifications]

• Currently pursuing a degree in Computer Science or a related technical field.
• Proficient in building web services on a Linux platform.
• Strong skills in at least one of the following programming languages: Python, Go or Java.
• Solid understanding of Network API Design principles (e.g., REST or GraphQL).
• Familiar with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis, etc.).
• Minimum familiarity with Git version control and the ability to perform basic Git operations.
• Experience with Linux-based development, including setting up application runtime environments and optimizing machine resource utilization.
• Basic proficiency in Python programming, and experience with simple coding tests and open-source contributions.
• A collaborative team player who is also capable of independent work.
• Proactive with strong interpersonal and problem-solving skills.

• Bachelor’s degree in Computer Science or a related field.
• Proficient in performance profiling and debugging tools.
• Experience in developing high-performance network services on Linux.
• Ability to design and architect large-scale distributed systems, as well as knowledge of distributed algorithms and data structures.
• Familiarity with HTML and JavaScript.
• Experience with Nginx and HAProxy.
• Knowledge of Docker and Kubernetes, including experience using these tools.
• Familiarity with automation tools (such as Ansible) and CI/CD frameworks, with practical experience using tools like Jenkins, Drone, ArgoCD, etc.
• Understanding cloud infrastructure and services (AWS or GCP), as well as concepts related to cloud vs. on-premise solutions.
• Experience with cloud managed services (e.g., EC2, S3, Lambda, Load Balancer, ECS, API Gateway, etc.).
• Understanding the basics of distributed computing and parallel programming, with experience writing parallel programs using frameworks like Hadoop, Spark, Hive, CUDA, Flink, etc.
• Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together.

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)

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 Ad Cloud  Serving Services Team

At Appier's Ad Cloud Team Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, and ensure the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation.

Responsibilities

• Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure.
• Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem.
• Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture.
• Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs.
• Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration.
• Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation.
• Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies.
• Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services.
• Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing.

About You

[Minimum Qualifications]

• 3-5+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems.
• Proficient in one or more of the following languages: Go, Python.
• Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment.
• Good understanding of Network API Design (e.g., RESTful APIs, gRPC) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines.
• Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies.
• Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
• Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation.
• Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.

[Preferred Qualifications]

• BS/MS degree in Computer Science or a related field.
• Demonstrated ability to refactor complex systems, improve performance metrics (e.g., latency, error rate, CPU usage), and optimize resource utilization.
• Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration.
• Hands-on experience with deploying and serving machine learning models in production environments.
• Exposure to ad-tech or recommendation systems is a plus.

#LI-AK1

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

Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.

Responsibilities 

• Key owner of sizable engineering projects and services
• Lead system designs and provide technical guidance to team members.
• Mentor engineers in cross-team development processes.
• Lead code reviews to ensure high quality coding standards
• Facilitate agile process collaborating with cross-functional teams.
• Initiate and lead team-level technical, process and growth initiatives
• Continuously improve the system's observability, incident management, DevOps and production operational SOPs.
• Develop and operate scalable, reliable and maintainable service-based softwares and related components.
• Responsible for laying the foundation for the platform as well as proposing solutions to ease software development, monitoring of software, etc.
• Profiling and performance tuning of critical components
• Participate in idea brainstorming and contribute ideas to technology, algorithms and products
• Participate on-call rotation within Backend team to ensure product reliability and scalability

About you 

[Minimum qualifications]

• 5+ years of experience in software development
• Leadership experiences such as mentoring junior engineers, facilitating an agile process.
• Ability to build web services on Linux.
• Proficient in one or more of the following languages: Python/Scala/Go/Java/C++
• Good knowledge of Network API Design ( e.g. REST or GraphQL).
• Good understanding of any SQL/NoSQL database (MySQL / MongoDB / Redis / etc.)
• Familiar with git.
• Familiar with AWS, GCP or Azure.
• Proactive, good interpersonal and problem-solving skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experiences
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Expert in some of the following CS Domains:
• Nginx / HAProxy.
• Operation automation tool (such as Ansible).
• Continuous integration / continuous deployment
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

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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

As a Senior DevOps Engineer, you will be part of our product teams. Our product teams focus on building large-scale distributed systems, aiming to provide high-quality services. You will focus on the design and implementation of tools for product development, the technologies of service operation, and deployment onto instances with high scalability requirements. Seniority and title are determined by job-related skills, experience, and evaluation following the interview. We welcome international candidates to our teams. This position is ideally to be based in Taiwan.

Responsibilities

• Collaborate with product teams to ensure high availability, reliability, and stability of the microservices architecture
• Design and maintain observability infrastructure (logging, monitoring, alerting)
• Build and optimize CI/CD pipelines and deployment automation
• Develop infrastructure-as-code solutions for scalable service deployment
• Lead incident response, troubleshooting, and post-mortem analysis
• Drive capacity planning and infrastructure scaling strategies
• Maintain comprehensive documentation, including runbooks and operational procedures
• Participate in on-call rotation to support production systems

About you

[Minimum qualifications]

• Bachelor's degree in Computer Science, Computer Engineering, or related fields
• 5+ years of experience in DevOps, SRE, or infrastructure engineering roles 
• Strong Linux system administration skills
• Proficiency in Bash and at least one programming language (Python, Go)
• Proven experience deploying and operating production services
• Experience with version control systems (Git)
• Understanding of cloud computing concepts and architectures
• Hands-on experience with infrastructure automation and configuration management

[Preferred qualifications]

• Experience with container orchestration (Kubernetes, Docker) and configuration management tools (Ansible, Terraform, Puppet, Chef)
• Hands-on experience with CI/CD platforms (Jenkins, GitLab CI, GitHub Actions, ArgoCD)
• Production experience with major cloud providers (AWS, GCP, Azure)
• Database administration experience (PostgreSQL, MySQL, MongoDB, Cassandra)
• Experience operating large-scale web services and distributed systems
• Knowledge of security best practices (firewall configuration, IAM, network security)

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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 Data Analyst / Senior Data Analyst in Taiwan to join our Enterprise Solution team.

In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation.

To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations.

  [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

Responsibilities

• Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit.
• Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and Engineers to identify business pain points and provide actionable analytical suggestions.
• Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior.
• Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports.
• A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance.
• Data Governance: Maintain data accuracy and integrity, ensuring that metrics produced by data pipelines align strictly with business logic and customer requirements.

About you

[Minimum qualifications]

• Education: Degree in Statistics, Mathematics, Computer Science, Information Management or a related quantitative field.
• Experience: 2+ years of industry experience in data analytics or a related field.
• Technical Skills:
  • Proficient in SQL, Python 
  • Practical experience in developing dashboards using Tableau, Looker, or similar tools.
• Core Competencies:
  • Solid foundation in statistics and strong logical reasoning for problem-solving.
  • Ability to extract meaningful insights from data and translate technical findings into business language for non-technical stakeholders.
  • Excellent oral and written communication skills in English and Mandarin.
  • High level of self-discipline and adaptability within a fast-paced, high-growth environment.

[Preferred qualifications]

• Experience in the Digital Marketing (MarTech) industry.
• Familiarity with Google BigQuery, Mongo DB
• Foundational knowledge or hands-on experience in Machine Learning (ML).
• Experience in Agent development or AI-driven workflows.
• Prior experience working in an English-speaking professional environment with cross-border teams.

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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 Ad Cloud Bidding Team

The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount.

About the role

Software engineers (Ad Cloud Bidding) at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. We are looking for a Senior Backend Engineer with a strong focus on service operations to maintain and optimize our large-scale distributed systems. You will ensure our backend services run reliably and efficiently through automation, monitoring, and incident management.

Responsibilities

• Manage system deployment, configuration, and release pipelines
• Design and manage automated deployment pipelines to ensure smooth and reliable releases
• Implement monitoring, alerting, and disaster recovery strategies
• Troubleshoot production incidents and perform root cause analysis
• Participate in on-call rotations and lead incident response when required
• Continuously evaluate and adopt new tools or technologies to improve operational workflows

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related fields
• 3+ years of experience in backend engineering or site reliability engineering
• Familiar with Unix/Linux environments
• Scripting or programming skills in Python, Go, or Bash
• Experience in infrastructure-as-code tools
• A proactive mindset toward automation and continuous improvement and strong sense of ownership

[Preferred qualifications]

• Experience with cloud infrastructure
• Familiarity with CI/CD pipelines and observability tools
• Knowledge of performance profiling and load testing tools
• Exposure to security hardening, access control, or compliance auditing

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About Us

AIFT is at the forefront of AI safety and security, developing cutting-edge solutions, Vulcan Attack (automated vulnerability assessment/red teaming) and Vulcan Protect (real-time monitoring), to ensure AI systems are robust, trustworthy, and aligned with societal needs.

Our Product

Vulcan is a cybersecurity solution specifically designed for GenAI, offering two core services: Red Team (vulnerability assessment) and Blue Team (real-time defense). It ensures GenAI compliance, cybersecurity robustness, and operational integrity. 

Since its official launch in 2024, Vulcan has been recognized by the international standard-setting organization OWASP as a certified vendor for LLM & GenAI security testing and assessment. It is one of the few solutions capable of supporting multiple Asian languages (Traditional Chinese, Simplified Chinese, Japanese, Korean, Thai) and Standard Arabic. 

The Role

We are seeking a passionate and highly skilled GenAI Security Researcher to join our team. You will conduct applied and theoretical research into AI vulnerabilities, attack/defense methods, and security/safety benchmarking. Your work will directly shape our AI safety products, contribute to research communities, and influence industry standards and regulations.

What You'll Do

• Research: Investigate adversarial attacks, data poisoning, prompt injection, jailbreaks, and other AI system vulnerabilities in multi-modalities (e.g., text, image, video, and audio). Design and evaluate mitigation strategies, including fine-tuning, guardrails, content filtering, and robust model architectures.
• Benchmarking: Develop and maintain AI security evaluation frameworks, datasets, and performance metrics.
• Collaboration: Partner with product and partnership teams to integrate the findings into our AI security solutions.
• Dissemination: Publish findings in top-tier conferences and journals, present at industry events, and contribute to open-source initiatives.

What We're Looking For

• Research skills: Advanced degree (e.g., MSc/PhD) with strong analytical thinking, problem-solving skills, and ability to translate research into practical solutions.
• Knowledge: Deep understanding of relevant techniques, such as generative AI, security & privacy, computer vision, signal processing, and human-computer interaction.
• Communication skills: Clearly explain complex concepts in layman's terms.
• Proficiency in English: Write and read documents, communicate with team members in English.
• Teamwork: Work closely with our members to deliver value.
• Agility: Adapt quickly to changing research priorities and emerging AI security threats.
• Coding skills: Proficiency in Python and experience with experimentation.

Nice to Have

• Publication record in top-tier journals and conferences in AI, security & privacy, computer vision, signal processing, and human-computer interaction.
• Experience with white-hat hacking and security tools.
• Familiarity with industry frameworks, such as OWASP Top 10 LLM, MITRE ATT&CK, and security standards.
• Proficiency in multiple languages.

Why Join Us

• Solve high-impact AI security challenges shaping the future of trustworthy AI.
• Collaborate with world-class researchers and engineers in a mission-driven environment.
• Competitive compensation, flexible working arrangements, and professional growth opportunities.

How to Apply

• Submit your English CV containing education and work experience with a publication list (underline your name in the author list).

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.
  

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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)

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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

As a Machine Learning Scientist in Appier, you will be contributing to Appier’s research in actual use case for our products.

Responsibilities

• Use machine learning and analytical techniques to build prediction model for advertising/enterprise solutions.
• Experience in analyzing and extracting valuable information from large amounts of business data
• Design, develop and test advanced models for predictive consumer behavior
• Co-operate with software engineering teams to drive real-time model implementations and new feature creations
• Design efficient, scalable, automated processes for large scale data analyses, model development, model validation and model implementation
• Research and evaluate pioneering machine learning and statistical model

About you

[Minimum qualifications]

• Master or Ph.D. in Computer Science, Machine Learning, Math or Statistics. (Familiar with probabilistic model predictive models)
• Solid experience in system design and programming, ability to work with big data with minimal engineering support
• 3+ year experience in data mining, algorithms, statistical analysis, computational NLP and/or machine learning
• Proven ability of solving challenging problems in both academia and industry
• Extensive publication experience
• Self-motivation and an ability to priorities multiple competing challenges in a fast-growth environment
• Thinking about thinking; meta-cognition
• Applying past knowledge to new situations; remain open to continuous learning
• Thinking and communicating with clarity and precision

[Preferred qualifications]

• Excellent presentation skill to articulate product ideas to technical/non-technical audience

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The Company:

Placements.io is a product-first SaaS company transforming how digital media publishers and agencies manage their advertising businesses. Our platform simplifies ad sales, operations, billing, and revenue reporting—enabling our customers to scale efficiently and make smarter decisions.

With a global footprint and a strong engineering culture, we’ve been recognized on Inc.’s 5000 Fastest-Growing Companies list and named one of Will Reed’s Top 100 Early-Stage Companies to Work For. Headquartered in Seattle, we’ve expanded to New York, London, Taipei, and Singapore.

The Position:

We are looking for a Intermediate Backend Engineer to join our growing engineering team in Taipei. In this hybrid role (three days per week in office), you will be a key contributor to the design, development, and maintenance of our advertising technology platform. You’ll work alongside a talented team and collaborate cross-functionally to deliver high-quality, scalable solutions that support our clients’ evolving needs.

Placements.io continues to invest in platform innovation, including the integration of AI-driven features to enhance automation, predictive insights, and reporting performance. If you're passionate about backend development and excited about shaping the future of AdTech—including AI-driven automation and robust external integrations—this is an excellent opportunity.

• Design, build, and maintain robust, scalable APIs and backend services.

• Collaborate with product managers, designers, and engineers to define technical specifications.

• Implement backend logic to support AI-enhanced features like automated workflows and intelligent data reporting.

• Optimize system performance and resolve bottlenecks and bugs.

• Participate in code reviews to ensure quality, knowledge sharing, and maintainability.

• Conduct testing and debugging to maintain a stable and secure platform.

• Stay informed on backend and AI technology trends to drive continuous improvement.

• Contribute to agile ceremonies, including sprint planning and daily stand-ups.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• Strong backend development experience, ideally within a fast-paced tech environment.

• Proficiency in Ruby on Rails or a similar backend framework.

• Experience developing and consuming RESTful APIs.

• Solid understanding of relational databases (PostgreSQL preferred).

• Familiarity with frontend technologies (React.js, JavaScript, HTML/CSS) is a plus.

• Experience or interest in working with AI/ML-powered systems, tools, or APIs.

• Familiarity with cloud platforms such as AWS, Heroku, or Google Cloud.

• Strong problem-solving skills and attention to detail.

• Excellent collaboration and communication skills.

• Experience in the digital advertising or martech industry is a plus.

• Competitive salary
• Early-stage stock options
• 20 days of PTO
• Applicable labor insurance and pension fund
• Company paid medical, dental, vision, and life insurance
• Regular company lunches and happy hours
• Gym membership reimbursement
• Cell phone reimbursement

To apply to our open positions, please email your resume, cover letter, and the name of the position you are applying for to careers@placements.io. We look forward to meeting you!

EEO Employer: Placements.io is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, social class, color, religion, sex,
sexual orientation, gender identity, national origin, disability, Veteran status, languages, ideology, political affiliation, birthplace, age, appearance, facial features, marital status, zoadic sign, blood type, past labor union membership, or any other protected classification.

Reasonable Accommodation Statement

Placements.io complies with United States federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please send a request to hr@placements.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.