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

The role 

In this role, you will be responsible for leading and overseeing programs with OEM customers, spanning from early-stage advanced development initiatives to full-scale production programs. You will collaborate closely with the customer to define and manage project plans, ensuring that requirements are seamlessly integrated into the internal development pipeline and delivered on schedule. A deep understanding of the automotive industry and the development of embodied AI systems is essential to effectively guide these programs, identify and report potential risks, and implement a robust change management. You will be at the forefront of delivering meaningful impact to real-world customers.

Key responsibilities:

• Lead and support cross-functional teams in executing complex customer programs, ensuring the successful achievement of program objectives.
• Establish and maintain a comprehensive project management framework, including project planning, risk management, change management, and task coordination.
• Engage with customers to understand and address their technical requirements and needs.
• Collaborate closely with teams across Product, R&D, and other departments to translate customer demands into clear, actionable technical requirements.
• Ensure efficient reporting both externally to customers and internally within the organisation.
• Work closely with internal development teams to align customer requirements with internal milestone planning and execution.
• Provide first-level support to customers, ensuring their needs are met promptly and effectively.

About you  

In order to set you up for success as a Customer Program Manager at Wayve, we’re looking for the following skills and experience.  

Essential 

• Extensive program management experience in complex automotive software development.
• Proficient in utilising program management tools (e.g., Jira) to optimise workflow efficiency and ensure seamless project execution.
• Robust technical expertise with comprehensive knowledge of the automotive industry.
• A proactive problem-solving mindset.
• Exceptional communication and interpersonal skills.
• Demonstrated ability to collaborate effectively across multidisciplinary teams.
• Willingness to travel as needed.
• Fluent Japanese and business-level English are required for collaboration with international teams and stakeholders

Desirable 

• Knowledge of current AI advancements, including Generative AI, AV 2.0, and Large Language Models (LLMs).
• Hands-on experience in software development.
• A Master’s degree in Engineering or Computer Science.

This is a full-time, office-based role located in Yokohama or Tokyo, depending on the candidate's place of residence. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. 

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 further improve bidding strategies, audience targeting and creative optimization by deep-diving RTB ecosystem including SSP/DSP/MMP to design the strategy, enhancing user signals or applying advanced deep learning model

What You’ll Work On

• Deep-dive the RTB ecosystem to identify the potential direction and decide the bidding strategy
• Leverage advance deep learning model to improve bidding/audience model performance
• Co-work with teams to improve real-time/long-term user interaction signal collection and to further improve model performance

What We’re Looking For

• Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, or related field.
• 3+ years of industry experience on RTB ecosystem
• Proficiency in Python and SQL experience with modern ML frameworks and deep learning model (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills.

#LI-AK1

Get to know our team: 

In Product, ideas come alive. The world is moving fast so our culture empowers ownership and minimal bureaucracy. That’s the environment that enables you to do what you think is right – and quickly. Our Product Managers move fast, fail, learn, and pivot.

Being a product-centric organization, our team works cross-functionally to build products from conception to launch by bringing together engineering and business worlds. Agoda Product Managers work closely with executive leadership and have high visibility among the C-suite; they have direct impact on Agoda’s growth and strategy. Product puts our travelers first and delivers that special travel experience in the most creative expression.

The opportunity:

This role is BANGKOK-BASED, RELOCATION PROVIDED. Principal Product Managers are analytical and data-driven individuals, who’re responsible for building products end-to-end focusing on analyzing and experimenting until our solutions are perfectly tailored to our travelers. As our next Product Leader, you will drive product strategy and partner closely with senior leadership cross-functionally to define, build, and deliver the best travel solutions.

You will get dedicated engineering resources that you, and only you define and allocate. We expect you to have a hands-on mentality and spend considerable time with your SCRUM teams, have enthusiasm to develop engineered processes and technologies and apply innovative solutions to make organizational improvements. You can modify *every* system we have in our company to suit their needs.

By applying to this role, you'll be considered for a role either in User Experience, Marketing, Finance or Supply product vertical. The goal is to match you with the team that best aligns with your interests, competencies, and where you will have the most impact. We’re looking for Product Leaders for every part of our business. Our entire Product team sits in Bangkok. 

In this role, you'll get to: 

• Analyze the online travel ecosystem, markets, competitive landscape and user requirements.
• Conceptualize, launch and optimize products and features, experiment, test their performance and iterate quickly.
• Work collaboratively with Engineering, Marketing, Legal and UX teams on cutting-edge technologies.
• Develop innovative solutions to some of the world’s difficult problems by collaborating as needed across regions, product areas, and functions.

 What you'll need to succeed:

• Bachelor’s degree in technical field (i.e. Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline).
• Proven ability to leverage analytics and quantitative methods to inform and influence decision-making
• Strong data skills 
• Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders
• Experience developing and launching products
• Experience leading global product vision, go-to-market strategy and design discussions.
• Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change
• Hands-on mentality

It's great if you have:

• MBA or Master’s degree in Math, Economics, Computer Science or Statistics
• Data tools - SQL, Python, R, or equivalent

#seattle #sanfrancisco #beijing #newyork #london #bangkok #singapore #chicago #hongkong 

About the Role

Anduril is expanding into Japan at a pivotal moment for the Indo-Pacific. As regional security dynamics evolve, Japan is taking historic steps to modernize its defense posture and strengthen deterrence. In response, Anduril established a Tokyo office in late 2025 and is deepening its partnership with one of America’s closest allies—signaling a long-term commitment to Japan’s security and industrial future.

Anduril is seeking a Communications Manager to support and execute communications efforts in Japan. This role is focused on strong day-to-day execution—developing content, supporting media engagement, and helping translate Anduril’s capabilities into clear, locally relevant messaging.

You will work closely with global communications, business development, and policy teams to ensure consistent and effective messaging in a key allied market. This role reports to the Director, APAC Communications.

What You’ll Do

• Execute communications plans and campaigns in Japan
• Draft and localize press materials, statements, blog posts, and executive communications
• Support media outreach and maintain relationships with key journalists
• Prepare briefing materials and talking points for leadership engagements
• Monitor Japanese media and policy developments; provide summaries and insights
• Coordinate with internal stakeholders to support announcements and events
• Manage translation workflows and ensure accuracy and tone

Required Qualifications

• 5–8 years of experience in communications, PR, or public affairs
• Fluency in Japanese and professional English (written and spoken)
• Strong writing and editing skills across both languages
• Familiarity with Japan’s media landscape
• Ability to manage multiple projects and deadlines

Preferred Qualifications

• Experience in technology, defense, or government-related communications
• Experience working with international teams
• Media relations experience in Japan

ABOUT THE TEAM:

The Connected Warfare division provides the joint, time-sensitive, multi-domain, ubiquitous, connected mesh ecosystem built from hardware, software, and partners to solve mission command problems. This mesh powers applications and unifies Anduril capabilities that provide mission command to the warfighter and facilitate real-time decisions at the tactical, operational, and strategic level of war. This ecosystem enables disproportionate impact by connecting every robot, human, and sensor in every domain, bringing together hundreds of thousands of endpoints across the planet. It transforms the way militaries close kill chains and leverage mission autonomy, and it enables developers to build experiences in a connected mesh ecosystem.

ABOUT THE JOB:

As a Program Manager (PM), you will orchestrate the development and delivery of complex software and hardware products, ensuring alignment with client needs and company growth strategies. This role requires a unique blend of technical expertise, program management experience, and an understanding of the defense sector. You will work closely with engineering, product, business, and government stakeholders to deliver innovative solutions that meet the needs of our customers and partners.

RESPONSIBILITIES:

• Serve as the local customer interface to ensure Anduril’s Connected Warfare capabilities are well represented and aligned to Japan’s Ministry of Defense challenges and opportunities, working in partnership with Anduril’s in-region Growth team
• Provide Project Management and Contract Lead roles working directly with Japan Ministry of Defense customers and partners to develop and deploy Anduril C2 integrated hardware-software products to meet customer and operational needs
• Own the delivery of contract deliverables to include developing and implementing measures of performance and effectiveness, writing technical reports, and creating user engagement roadmaps
• Responsible for monitoring Anduril C2 product connectivity, function, and integration with customers
• Design and implement user feedback loops to gather, triage, and prioritize requirements, feedback, and issues found through the employment of Anduril Connected Warfare products during customer training, exercises, and normal use
• Develop and contribute to a streamlined user feedback and engagement system, which could include issue tracking, training sessions, refreshers, and focused preparation for exercises and events
• Provide input to program and engineering teams to drive the development of product features and configurations that enhance or greatly improve efficiency of user workflows and employment of Anduril Connected Warfare products
• Support engagements with Australia Department of Defence customers and key alliance partners to integrate and accelerate Anduril product adoption across INDOPACOM

REQUIRED QUALIFICATIONS:

• Proven customer-facing technical program management experience, preferably in the defense, national security, or aerospace domains. With the ability to create and maintain professional relationships with senior level Japanese customers and partners.
• Solid technical aptitude and an ability to understand technical designs, software development lifecycle, challenges and risks; ability to work closely and effectively with engineering teams.
• Ability to work with internal and external stakeholders, across a wide range of technical comfort
• Experience in translating and decomposing highly technical concepts into operational requirements and performance specifications
• Authorization to work and reside in Japan
• “Onsite" candidates only
• Fluent in Japanese and English. Fluency in Japanese culture, customs and language
• Ability to travel to meet with customers and support activities with the willingness to travel 50%

PREFERRED QUALIFICATIONS:

• Familiarity with doctrinal, functional, and technical command and control concepts, principles, and processes
• Experience with defence ICT systems (secret system preferred), tactical data links, and defence C4 systems strongly preferred
• Technical expertise and demonstrated performance in one or more of the following areas: networking, cloud technologies, and/or application development

We are hiring a Senior Software Engineer to lead the design and implementation of Anduril’s flagship hardware and software products in support of customer missions. You will:

• Lead and work with a diverse team of engineers around the world, with opportunities to grow a local team
• Work with multiple internal and external partners to ensure customers receive best-in-class products
• Build and integrate various external software and hardware products into Anduril products
• Derive and communicate requirements from multiple customers and partners, operating in complex and challenging environments

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics.
• High ownership and autonomy across the end-to-end lifecycle of software development. Strong technical acumen to deliver high-quality code in a disconnected environment.
• A deep, demonstrated understanding of how computers and networks work, from a single desktop to a multi-cluster cloud node.
• At least 7+ years working with a variety of programming languages such as Go, Rust, C++, Java, Python, JavaScript/TypeScript, etc.
• Experience with customer-oriented UI/UX development.
• Experience building scalable backend software systems with various data storage and processing requirements.
• Experience with industry standard cloud platforms (ideally GCP, OCI), CI/CD tools, and software infrastructure fundamentals (networking, security, distributed systems).
• Experience leading small teams of cross functional engineers to design, build, and deploy software systems.
• Ability to quickly understand and navigate complex systems and established code bases.
• Able to work across multiple timezones, primarily JST and Pacific
• Authorization to work and reside in Japan
• Ability to obtain and hold a local government security clearance

ABOUT THE TEAM
The Business Development (BD) team at Anduril identifies, shapes, captures, and grows new opportunities. The team seeks to deeply understand user problems, how current solutions fail to solve them, and how Anduril capabilities and products can address these gaps to deliver more effective mission outcomes. BD is the bridge between customers and the broader Anduril team - we convey customer perspectives internally while serving as an ambassador for Anduril externally. We have ambitious objectives, but create actionable pathways and take calculated risks to achieve them, while measuring progress against clear interim milestones. We are intellectually curious about technology, mission problems, and our customers, to include their organizational dynamics and acquisition processes. We partner with Anduril’s Business Lines to ensure our products exceed customer expectations and mission demands, and continuously improve to adapt to ever-changing operating environments.

ABOUT THE JOB
Anduril Japan seeks a Business Development Director to support the expansion of our defense capabilities. This role is critical to Anduril's growth in Japan. As BD Director, you will partner with the Head of Anduril Japan to drive on-the-ground customer engagement. You will possess a comprehensive understanding of, and ability to engage with, Japanese government ministries, Self-Defense Forces, the Diet, and other relevant government entities. This includes a detailed understanding of Japanese government procurement and budget cycles, trading company roles, and domestic industry dynamics.

Intimately familiar with Japanese Security and Defense policy doctrine – including the National Security Strategy, National Defense Strategy, and Defense Buildup Program – your analytical thinking and technological awareness will identify gaps and opportunities to enhance Japan's security and defense with Anduril products. Using strong, bilingual communication skills (English and Japanese), you will work closely with customers at all levels to effectively advance Anduril opportunities through the procurement cycle.

WHAT YOU’LL DO

• Drive Growth & New Business: Support Anduril’s Global Defense organization and country team in developing, adapting, and executing our growth strategy in Japan. Identify, generate, and capture new business opportunities by deeply understanding Japan's security and defense requirements, technical roadmaps, and competitive landscape. Inform capture strategies, revenue forecasts, and product development.
• Expand Existing Business: Partner with our Mission Operations teams, which executes existing contracts, to grow business with current customers and explore new opportunities. Build deep, trusted relationships with customers and B2B partners to enhance resilience and performance.
• Strategic Communication & Product Advocacy: Leverage technical product understanding to translate customer needs to internal teams, craft compelling presentations and proposals, manage critical external events, and provide clear internal communications to inform strategic decision-making.
• Champion Anduril's Value: Represent Anduril to customers, partners, and the public, embodying our ethos and effectively communicating our innovative approach to next-generation defense technology and competitive advantages.

REQUIRED QUALIFICATIONS

• Ability to travel up to 50%
• Professional fluency in English and Japanese
• Familiarity with Japanese culture
• Experience working with the Japanese Ministry of Defense or other Japanese government ministries
• Robust knowledge of Japan’s government procurement processes and U.S. Foreign Military Sales and Direct Commercial Sales processes
• Ability to create and maintain professional relationships with senior level Japanese customers and partners
• At least 10-years’ experience working with Japanese government and industry
• Must be able to work effectively as part of an integrated, international team
• Authorization to work and reside in Japan
• “On site” candidates only

PREFERRED QUALIFICATIONS

• Experience with complex systems involving hardware and software
• Technical acumen and deep familiarity with AI and autonomous systems
• Extensive experience working with the Japanese Coast Guard and/or Ministry of Economy, Trade, and Industry
• Experience managing technical government projects
• Ability to obtain and hold a local government security clearance

We are looking for a person ready to take up the challenge of working in a high-profile project where we integrate multiple chiplets into a System-in-package, in collaboration with external stakeholders. You will work with Tenstorrent worldwide experts and leaders in the USA, Japan and other countries, and help us make our IP even better.

In this role, you will ensure functionality and performance of the system.

This role is based out of Tokyo, Japan and offer flexible Hybrid work style.

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

Responsibilities:

• Verify Tenstorrent’s digital IP and SoC logic at chiplet integration level, using industry standard verification methodologies
• Build and improve components of verification infrastructure including model builds and simulation/regression runs,
• Create verification components like testbenches, checkers and test generators,
• Add assertions and coverages along associated methodologies,
• Build verification test plans for subsystems, align them with project stakeholders, implement test suites, summarize the results and share feedback with project stakeholders
• Publish and review verification metrics and drive convergence towards tape-out,
• Work across boundaries with architects, software and design/emulation teams,
• Guide and mentor junior engineers.

Experience & Qualifications:

• Advanced degree in electrical, computer engineering or computer science
• Proven experience in CPU or SoC verification
• Over 10 years of experience with verification flows, scripting and automation
• Good knowledge of logic design
• Knowledge of Verilog//v2k/system Verilog
• Strong problem solving skills
• Excellent organizational and communication skills
• Good English language skills (written and spoken)

Nice to Have:

• Knowledge of RISC-V, machine learning, die-to-die, memory controllers, PCIe, UCIe
• Knowledge of low level drivers and firmware in C
• Fluency in Japanese
• Japanese work visa

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

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.

Niantic/ Scopley, creator of hit games including Pokémon GO, Pikmin Bloom, and Monster Hunter Now is seeking a Client Engineer to help shape the future of our games by building high-quality, scalable gameplay systems that delight and engage our passionate players. We're a fast-paced, multi-disciplinary team of game makers, software developers, and creative professionals based all over the world. In this role, you will lead the technical design and implementation of cross-platform mobile experiences, driving performance, reliability, and engineering excellence — living up to our ambitious vision of merging the virtual with the real world and inspiring people to explore together!

Responsibilities

• Lead the technical design and implementation of engaging, scalable gameplay systems for a large and active user base.
• Own cross-platform development across mobile (iOS/Android), ensuring code is reusable, maintainable, and performant across multiple environments.
• Drive performance optimization and reliability, including profiling, debugging, and troubleshooting complex issues on mobile devices.
• Collaborate cross-functionally with engineers, product managers, game designers, and UX designers to deliver high-quality user experiences.
• Provide technical leadership and mentorship to other engineers through code reviews, design reviews, and knowledge sharing.
• Contribute to engineering excellence, including improving development processes, testing practices, and overall code quality.
• Required in-office 3 days on Tuesday, Wednesday, and Thursday.

Qualifications

• BS in Computer Science or a related technical field, or equivalent practical experience.
• 5+ years of professional experience in game development, with strong expertise in Unity and/or other game engines.
• Proficient working in C# or C++.
• Embraces generative AI with curiosity and good judgment, using it responsibly to improve tooling, testing, debugging, prototyping, and overall product quality.
• Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice. 
• Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including synchronous interactions with others.
• Japanese language skills (intermediate - Business level)

Plus If…

• Have mobile or console game performance optimization experience.
• Experience with shader programming (e.g., GLSL, HLSL, Metal).
• Passion for building products that connect people through shared real-world or interactive experiences.

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 

We’re looking for a Staff/Senior Machine Learning Platform Engineer to join our Machine Learning Platform Team, which powers end-to-end infrastructure for model training, evaluation, deployment, and monitoring at scale. Our platform supports daily execution of hundreds of ML models and processes billions of data records across batch and streaming pipelines.
In this role, you’ll shape the architecture and core components of our ML platform—covering batch (Spark), streaming (Flink), job orchestration (Argo on Kubernetes), and infrastructure tools—while ensuring the platform remains robust, scalable, and developer-friendly. You’ll also champion best practices and modern development tools including LLM-based programming assistants.

What You’ll Work On

• Architect, implement, and scale batch (Spark) and streaming (Flink) pipelines that process billions of records daily for ML training and evaluation.
• 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).
• Design and monitor data infrastructure using ClickHouse and PostgreSQL.
• Ensure high availability and observability through monitoring tools like Prometheus and Grafana.
• Collaborate with data scientists, product managers, and engineers to deliver reliable and efficient ML platform capabilities.
• Actively adopt and promote the use of LLM-based tools (e.g., GitHub Copilot, ChatGPT) to accelerate development, documentation, and debugging.
• Mentor junior engineers and help evolve team engineering culture and standards.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s preferred.
• 4+ years of hands-on experience in data systems, machine learning infrastructure, or platform engineering.
• Strong coding proficiency in Python and/or Java, with experience building large-scale production systems.
• Practical experience with Spark, Flink, Kubernetes (GKE), and infrastructure-as-code tools such as Terraform and Helm.
• Experience managing high-throughput data infrastructure using ClickHouse, PostgreSQL, or similar systems.
• Deep understanding of ML pipelines and distributed job execution in production environments.
• Proven ability to apply LLM-based tools (claude code, codex) to boost engineering productivity.
• Strong ownership, architectural thinking, and ability to lead cross-functional platform projects.

#LI-AK1

About the role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work 

• Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager

• Native-level Japanese fluency and business-level English required

• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders

• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more

• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders

• Experience designing scalable cloud architectures and integrating with enterprise systems

• Comfortable with python

• Familiarity with common LLM frameworks and tools or a background in machine learning or data science

• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• A love of teaching, mentoring, and helping others succeed

• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities

• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

About the role

We are looking for an experienced tech transactions attorney to join our legal team. This is a uniquely strategic role with a mix of both internal and external-facing responsibilities in a region of increasing importance and growth for Applied Intuition. In short, this role will make an impact. You will primarily support Sales, Product, and Engineering. You will also have opportunities to expand your role as part of a small legal team in a high growth start up, and as our first attorney in Asia.

Our ideal candidate is a business-minded lawyer who is focused on execution, prepared to lead on important deals, and comfortable making thoughtful and creative decisions. The role will require a high degree of self-sufficiency but also someone who enjoys being part of a supportive team dedicated to providing top legal service to our internal clients. You must be willing to roll up your sleeves and be comfortable working in ambiguity.

At Applied Intuition, you will:

• Lead the drafting, structuring, and negotiating of complex commercial contracts with a diverse range of customers and partners from automotive OEMs, Autonomous Vehicle (AV) startups, and other players in the automotive and mobility ecosystems.
• Be a trusted advisor to the leadership team on legal matters critical to the growth of the business. 
• Collaborate cross-functionally with multiple stakeholders (e.g., Sales,Finance, Product, Engineering, etc.) to lead key initiatives.
• Support activities related to IP, Product, and Compliance as needed. 
• Create forms, playbooks, and training to improve consistency, execution speed, risk mitigation, and scalability.
• Develop and implement scalable and sustainable legal operations processes, programs and tools to support the legal team’s efficient delivery of services to the broader company.
• Proactively manage other duties that may arise as part of a small legal team in a high growth start-up.

We’re looking for someone who has:

• Qualification to practice law in Japan (Bengoshi), or equivalent legal qualification; ideally J.D. or LL.M. degree, with admission to practice in at least one U.S. jurisdiction.
• Fluency in both English and Japanese (written and verbal), with the ability to operate effectively in a bilingual business environment.
• Experience structuring, drafting and negotiating complex commercial agreements, including software licenses, strategic partnerships, and joint development agreements.
• Demeanor to thrive in a fast-paced sales focused environment, requiring exceptional organizational skills, juggling priorities, and adhering to strict deadlines.
• 5+ years' of experience with the activities described above. 

Nice to have:

• Experience supporting cross-border transactions, particularly involving U.S., Japan and Korea-based stakeholders.
• Experience working in the Japanese office of a U.S. or multinational company, or advising multinational clients in a law firm or in-house environment.
• Experience with some combination of law firm and in-house work.
• Computer science, engineering, or other technical background.
• Prior experience in technology, automotive, mobility, or other deep-tech industries.
•  

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

About the Role:

This dynamic role is a strategic hybrid, combining the technical ingenuity of a Solutions Consultant with the implementation mastery of a Professional Services Consultant. Your mission is to serve as a trusted advisor for Wrike Japan’s high-value clients, bridging the gap between complex business challenges and transformative digital solutions. By leveraging deep expertise in Wrike’s platform, you will design, demonstrate, and deploy high-impact workflows that maximize ROI and drive long-term organizational success.

Your Impact:

• Strategic Evangelism: Articulate the value of Wrike’s core workflows (Campaign Management, PPM, Creative Production, etc.) to prospective and existing clients.
• Pre-Sales Excellence: Partner with Sales to navigate complex scoping, conduct technical discovery, and deliver tailored demos that map Wrike’s capabilities to unique business needs.
• End-to-End Implementation: Lead the full customer journey—from initial design and configuration to rollout and adoption monitoring—ensuring a seamless transition and rapid time-to-value.
• Cross-Functional Leadership: Collaborate with Product, Marketing, and Engineering teams to influence the product roadmap and develop short-term workarounds for unique client requirements.
• Mentorship: Act as a workflow expert, coaching junior team members on consulting best practices and technical delivery.

Your Qualifications:

• Education: B.S. in Computer Engineering, Software Engineering, or equivalent practical experience.
• Experience: 3+ years in Sales/Solutions Engineering and 5+ years in project management or SaaS-based consulting.
• Workflow Expertise: Deep understanding of Project Portfolio Management (PPM), Client Service Delivery, and Product Lifecycle Management.
• Technical Proficiency: Experience working with APIs to create integrated ecosystem solutions and automated workflow environments.
• Methodology: Formal certification in project management (Agile, PMI, Prince2, or Lean) and a firm grasp of Change Management principles.
• Communication: Exceptional presentation skills with the ability to handle objections and influence executive-level stakeholders.

Standout Qualities:

• Advanced Education: An MBA or relevant Master’s degree.
• Certified Presenter: Prior Demo2Win certification or formal sales demonstration training.
• Wrike Insider: Previous experience as a Wrike Power User, Administrator, or Consultant.
• Ecosystem Architect: The ability to position Wrike within complex tech stacks, ensuring interoperability with third-party tools.
• Innovative Problem-Solver: A creative mindset that thrives on "unsticking" complex processes and designing non-traditional solutions.

Team Dynamics:

You will join a high-energy, collaborative team in Japan that sits at the intersection of Sales and Customer Success. Reporting to the regional leadership, you will work closely with Account Executives to win new business and Technical Account Managers to ensure long-term health. We pride ourselves on a culture of accountability, empathy, and collective winning—where we put the team and the customer first.

Our Work Style:

Wrike is a pioneer in the collaborative work management space, and we "drink our own champagne" by using our platform to manage every project and milestone.

• Hybrid Flexibility: A blend of in-office collaboration and remote focus.
• Tech Stack: You’ll live in Wrike, Salesforce, and various integration platforms.
• Methodology: We lean heavily into Agile and Lean principles to remain iterative and fast-moving.
• The Wrike Edge: Unlike competitors, we focus on deep vertical integration—offering specialized Solution Deployment Packages that solve specific industry pain points out of the box.

Why Join Wrike?

• Growth Opportunities: Clear career progression paths with opportunities to advance into senior account management or leadership roles, based on your performance and goals 
• Life Insurance
• Long Term Disability Insurance
• EAP
• Health Insurance
• Corporate Pension Plan
• Parental Leave
• Volunteer Days
• Workers Compensation
• Commuter Allowance

Your recruitment buddy will be Tripti Sachan, Senior Recruiter.

#LI-TS1

The Team:
Celonis makes processes work for people, companies, and the planet. As the Celonis Services organization, we are the strategic implementation consulting & transformation arm of a unified Customer Organization aligned to four core mandates:

1. Make Celonis Business Critical: Transform the platform into the central nervous system of our customers’ operations.
2. Scale Customer Health: Drive full platform adoption to ensure long-term value and stability.
3. Focus on High-Value Activities: Prioritize complex, high-impact technical work that moves the needle for Focus & Strategic customers.
4. Empower Career Growth: Foster an environment where every Celonaut owns customer success while accelerating their own professional trajectory.

We deliver production-ready Celonis Platform implementations that drive measurable top, bottom, and green-line impact. Moving beyond “point-in-time” analysis, we utilize a Discover-and-Build approach to solve the world's most complex operational challenges.

In close partnership with Value Engineering, we perform data-driven discovery to validate business hypotheses against real-world data. We then build and deploy operational, AI-enriched solutions on top of the Celonis Platform that automate decisions and optimize workflows at an enterprise scale.

We don't just implement AI for our customers; we live it. Our project delivery lifecycle is accelerated by state-of-the-art AI augmentation, allowing our consultants to focus on high-level, strategic problem-solving. By serving as the "eyes and ears" in the field, we maintain a continuous innovation loop with our Product & Engineering teams, ensuring our frontline learnings directly shape the future of the Celonis Platform.

The Role:
You are an AI Deployment Architect (AIDA). You own the reality of scaling solutions within a customer's actual IT environment and productizing those results. Complementing your colleagues in Applied Value Engineers and Applied AI Engineering, who focus on pre-sales prototyping, you bridge the gap between "the art of the possible" and Business Critical, scaled solutions. As an AIDA, you steer account teams and customers toward AI use cases that are inherently scalable. You are not the primary implementer of these solutions. Instead, you steer the definition of the architectural vision for Consultants to execute and oversee delivery excellence. You remain hands-on for first-of-their-kind production solutions, eventually transitioning to an advisory capacity across a broad "book of work" within your assigned vertical.

The work you’ll do:

• Advise and Safeguard Technical Implementations: Provide architectural oversight for concurrent deployments at Fortune 500 organizations. You act as the final technical authority, maintaining "project-ready" coding skills to troubleshoot and resolve critical production failures that block value realization.
• Architect AI-Enriched Solutions: Collaborate with pre-sales teams to transform experimental prototypes into robust, scalable enterprise applications. You then translate these successful deployments into standardized platform features by maintaining a tight feedback loop with Product and Engineering.
• Engineer Low-Latency Systems: optimize these AI-enriched solutions for high-throughput and minimal latency. You ensure the Celonis Platform handles near-real-time data integration without compromising the user experience of business-critical applications.
• Implement Eval-Ops & Automated Testing: Build rigorous evaluation pipelines to test LLM quality and reliability at scale. You move beyond manual spot-checks by institutionalizing automated benchmarks for model accuracy and safety.
• Deploy LLMOps & Lifecycle Governance: Design systems for continuous model monitoring, cost optimization, and performance tuning. You establish the frameworks for data privacy and compliance within the customer's actual IT environment.
• Troubleshoot Agentic Orchestration: Manage the complexity of multi-agent workflows where agentic activity is triggered by Celonis context and logged back to the platform. You ensure seamless hand-offs between agents and maintain the integrity of the full process loop.
  
  

The qualifications you need:

• More than 4-5 years experience in IT-Consulting, Management Consulting, Process Improvement or a similar area
• Hands-on experience applying AI/ML techniques to solve business challenges is a plus.
• Native Japanese and strong communication in English
• Ability to refactor experimental pilots for production-scale performance and a deep proficiency in Python for building enterprise-grade LLM-based solutions.
• General understanding of companies business processes and related financial metrics and are willing to learn in this area. Knowledge of standard ERPs (SAP and related business processes (Order to cash, procure to pay…) is a plus.
• Enjoy interacting with various customers to understand and interpret business processes
• You are very dedicated and visionary and want to actively drive the Celonis Process Mining technology forward
• Excellent analytical skills, well organised and known for being a quick learner
• Business acumen is a strong plus, supporting the ability to understand client needs, identify value drivers, and deliver strategic, impact-driven recommendations
• Successfully completed your studies in Business Informatics, Computer Science, Information Systems, Economics, Mathematics, or a related field

#LI-DH2

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

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

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 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 build identify graph to enrich unified customer profile and also identify high purchase value users to drive ROAS by machine learning model.

What You’ll Work On

• Leverage scientific methods to build identify graph and identify high-value users
• Drive online experiments to continuously improve ROAS
• 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, or related field.
• 3+ years of industry experience on identify graph, ID mapping and cross-device mapping in digital Ads related fields, and generate mapping and profile under large-scale data.
• Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.).
• Strong ownership and collaboration skills.

#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 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.

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.

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.

About the role

We are seeking a highly skilled and experienced Senior Software Engineer, General Backend Development. In this role, you will be responsible for developing and maintaining scalable, high-performance backend systems. A primary focus of this position will be diagnosing and resolving complex system performance bottlenecks and tackling intricate concurrency issues, such as race conditions. You will work closely with cross-functional teams to design and implement robust solutions that meet business requirements and ensure the long-term stability and success of our projects.

Responsibilities 

• Design, develop, and maintain robust and scalable backend systems using Java / Python / Go and related frameworks such as Spring, Undertow, Flask, FastAPI, etc.
• Collaborate with cross-functional teams, including frontend developers, product managers, and designers, to define system requirements and deliver high-quality solutions
• Perform code reviews to ensure adherence to coding standards and best practices
• Identify and troubleshoot issues, debug and optimize code for performance and efficiency.
• Participate in the entire software development lifecycle, from planning and design to implementation, testing, and deployment
• Stay updated with the latest industry trends and technologies, and continuously improve technical skills

About you 

[Minimum qualifications]

• Proven experience as a Backend Developer, with at least 8 years of professional experience.
• Strong understanding of programming languages and related web frameworks.
• Apply object-oriented principles and design patterns to ensure code reusability, readability, maintainability, and scalability.
• Experience with functional programming paradigms, such as immutability, higher-order functions, and lambda expressions.
• Embrace a testing mindset and aim for comprehensive test coverage whenever feasible. Possess familiarity with any unit test framework for effective testing.
• Solid understanding of web application development principles, RESTful APIs, and microservices architecture.
• Experience with databases (SQL and NoSQL) and ORM frameworks.
• Experience with OLAP database.
• Familiarity with version control systems (e.g., Git).
• Strong problem-solving skills and ability to work independently as well as in a team environment.
• Excellent communication and collaboration skills.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• Technical leadership experience.
• Good at profiling and debugging tools.
• High performance network service on Linux.
• Experience in Java development
• Experience in developing data structures, algorithms on top of Big Data platforms
• Experience in building and managing robust data warehouses. e.g. Trino/Presto , Pinot or Databricks.
• Design and architect large scale distributed systems.
• Design and implement distributed algorithms and data structure.
• Familiarity with Agile development methodologies.
• Familiarity with solving system performance issues or improving system performance
• Familiarity with SRE / DevOps related domains

#LI-BD1　#LI-Hybrid

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.

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 for OJM, Omni-channel Journey Map (https://www.appier.com/en/blog/customer-journey-map), and Aideal (https://www.appier.com/en/products/aideal). You will 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: Typescript
• 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.
• Business-level proficiency in Chinese is required.

[Preferred qualifications]

• BS/MS degree in Computer Science or related field.
• 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 Jenkins).
• Continuous integration / continuous deployment.
• Monitoring and alert system (Prometheus / Nagios).
• Functional programming.
• Data Intensive Application Design.
• Web Frontend and Javascript.

#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

Software engineers (Ad Cloud Bidding) at Appier Tokyo office 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

[Language]:
Proficiency in Chinese

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.

#LI-BD1 #LI-Hybrid

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

Software engineers (Ad Cloud Bidding) at Appier Tokyo office build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, you will contribute to building scalable backend systems while also participating in service operation activities, including deployment, monitoring, and incident response, to ensure reliable and high-performing distributed services.

Responsibilities

• Design, implement, and optimize backend services
• Participate in code reviews and contribute to system design discussions
• Collaborate with cross-functional teams to deliver robust and high-performance systems
• Troubleshoot production issues and contribute to root cause analysis
• Support system deployment, monitoring, and maintenance in production environments
• Participate in on-call rotations and lead incident response when required

About You

[Minimum qualifications]

• BS/MS degree in Computer Science or related fields
• 3+ years of experience in software development
• Experience in modern C++ programming (C++11 and later)
• Familiar with Unix/Linux environments
• Good interpersonal and problem-solving skills and strong sense of ownership

[Preferred qualifications]

• Good understanding of system programming
• Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems
• Experience in service optimization and performance tuning
• Experience in modern build systems
• Experience in operation automation tools

[Language]

Fluent in English or Chinese.

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.

#LI-SW1 #LI-Hybrid

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

We’re building agentic and recommendation products that power next-gen digital marketing. You will lead an engineering team at the intersection of ML systems, LLM/agent orchestration, and enterprise SaaS to deliver reliable, measurable outcomes for marketers—faster execution, smarter budget allocation, and differentiated brand performance.

Our goal is to build Marketing Agents (e.g., Audience Agent, Campaign Agent and Insight Agent) and Consumer-Facing Agents (e.g., Service Agent, Sales Agent), underpinned by a One Data Platform that enables trustworthy personalization and decisioning at scale.

What You'll build

Agentic Marketing Automation

• Natural language task assignment: users describe objectives and constraints in plain language; agents plan, execute, and report.
• Amplifying brand advantage: systems that help strong brands compound performance while giving others actionable levers to close gaps.
• One Data Platform integration: unify identity, events, product catalog, and campaign data to drive consistent decisions across products.

[Product Areas]

• Marketing Agents
  • Audience Agent: segmentation, targeting strategies, cohort insights, next-best audience.
  • Campaign Agent: multi-step campaign planning, creative/testing suggestions, launch & iteration, performance diagnosis.
• Consumer-Facing Agents
  • Service Agent: post-purchase journeys, retention, support deflection, cross-sell triggers.
  • Sales Agent: lead qualification, outreach recommendations, pipeline nudges (where applicable).
• Recommendation products: ranking, next-best-action, uplift modeling, personalized content/channel selection.

Responsibilities 

Engineering leadership

• Lead a team of engineers (and partner closely with ML scientists) to deliver enterprise-grade agent and recommendation capabilities.
• Translate product goals into technical strategy, milestones, and execution plans; drive delivery with high quality and predictable cadence. 
• Establish engineering excellence: code quality, testing, observability, incident response, and continuous improvement.
• Build an environment of humble, hungry, smart execution—measure outcomes, iterate quickly, reduce waste.

Agentic Systems & ML Product Delivery

• Design and ship agent frameworks: planning/execution loops, tool calling, memory, retrieval, safety guardrails, and evaluation.
• Define evaluation methodology for agents: offline benchmarks, online experiments, success metrics, and human-in-the-loop review flows.
• Assure solid integration with One Data Platform: data contracts, feature availability, privacy controls, and reliability SLAs.
• Partner with Product, Design, Data/ML, and GTM to ensure model behavior aligns with user needs and business goals.

Stakeholder & Culture

• Drive stakeholder alignment: connect engineering objectives to business outcomes (revenue, retention, customer value).
• Promote an autonomous culture: empower autonomous decision-making for both the team and the systems you build.
• Manage fast-paced experimentation while ensuring security, compliance, and enterprise readiness.

About you 

[Minimum qualifications]

• 8+ years professional experience as a Software Engineer; 4+ years in a management/leadership role.
• Strong communication in English (written and verbal).
• Degree in Computer Science / Informatics or equivalent practical experience.
• Proven track record delivering enterprise-grade products (reliability, security, observability, performance).
• Experience working with or managing engineers and ML scientists.
• Experience delivering solutions using Agile principles.

[Preferred qualifications]

• Experience building LLM/agentic systems in production (tool use, RAG, orchestration, evaluation).
• Hands-on background with ML systems (recommendation, ranking, attribution, uplift, LTV, forecasting) and their productionization.
• Familiarity with data platforms (event pipelines, identity resolution, feature stores, lakehouse/warehouse) and data governance.
• Experience with A/B testing and causal measurement; comfortable making tradeoffs using metrics.
• Exposure to MA/CRM domains: segmentation, journeys, omnichannel messaging, campaign ops, budget pacing.
• Experience in leading hybrid (onsite/remote) engineering team.

About Us (Appier Engineering)
At Appier Engineering, we aim to be humble, hungry and smart. We improve through constant measurement and feedback—building less and talking more to ensure outcomes users love while reducing waste. We innovate by failing well, adapt quickly, and stay efficient and responsive when needed. We’re looking for an Engineering Manager who embodies these values through work and life experiences.

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

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 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
• 3+ 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]

• 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