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Established in 1987 and headquartered in Taiwan, TSMC pioneered the pure-play foundry business model with an exclusive focus on manufacturing its customers’ products. As of 2024, TSMC serves more than 500 customers and manufactures over 11,000 products for high-performance computing, smartphones, the Internet of Things (IoT), automotive, and digital consumer electronics. It is the world’s largest provider of logic ICs, with an annual capacity of 16 million 12-inch equivalent wafers. TSMC operates fabs in Taiwan as well as manufacturing subsidiaries in Washington State, Japan and China, and the Company began construction on a specialty technology fab in Dresden, Germany, in 2024. In Arizona, TSMC is building three fabs, with the first starting 4nm production in 2025, the second by 2028, and the third by the end of the decade.Responsibilities: AI algorithm/application research and development on image recognition, time series forecasting, and abnormal detectionAI system design and development, including system infrastructure (docker/K8S) and web application.AI System analysis, design, development and integration for cross organizations/systems projects.Innovate, develop and introduce Intelligent Manufacturing Solutions.Hiring Organization: IMC

Dcard 是在年輕族群有極高滲透率與影響力的社群平台。我們致力於打造一個讓每個人都可以放心分享自己故事的地方，讓平凡人分享不平凡故事的新世代社群服務。面對快速變化的社群生態，我們期待更多優秀的人才加入 Dcard。為了達成這個目標，我們需要 Senior Machine Learning Engineer (Ads) 加入我們， 你將有機會可以接觸到⼤量⽤戶產生的實際資料，加入這個熱愛挑戰的團隊，一起打造被千萬人喜愛與使用的產品！ 你將在團隊參與⋯ 參與 Dcard 機器學習相關產品的開發以及演進，可能會碰觸到演算法開發、模型訓練、Feature pipeline 設計以及維護服務的正常運作。與其他 Data Component 的開發者合作，一起建置 Dcard 機器學習相關系統。從大量使用者數據中分析、挖掘洞察以迭代演算法優化。設計並進行 A/B 測試實驗，驗證演算法的成效。

About Us We are a profitable and growing company, originating in Silicon Valley and now headquartered in Taiwan. We combine intuitive design with Creative AI tech to create inspiring products for millions of people worldwide.We offer a fun, creative, and international workplace with competitive compensation, stock options, flexible hybrid work, free lunch, and more.Ready to make a big impact with a talented team? Come create with us. About The Role At PicCollage, our Machine Learning, Algorithms Data (MLAD) team thrives on solving complex challenges with elegance and scale. As a Backend Engineer (ML Platform), you’ll be at the heart of this—designing and building robust platforms and pipelines that make it seamless to develop, deploy, and monitor ML models used by millions worldwide. You’ll collaborate closely with a team of like-minded experts who love sharing their deep domain knowledge, working together to bring cutting-edge AI research into real-world products. With a culture that champions continuous learning (yes, we sponsor trips to world-renowned conferences like CVPR), you’ll grow as you help deliver high-impact innovations—fast, reliable, and at scale.You will work closely with ML engineers, backend teams, and product teams to bring cutting-edge AI research into real-world products and ensure that models are reliably integrated and operate efficiently in production. This role is sometimes known as MLOps Engineer in other organizations, but we use Backend Engineer (ML Platform) to emphasize strong backend development and infrastructure skills. What You'll Do Design, implement and maintain machine learning platform and data pipelines, ensuring seamless deployment, scaling, and monitoring of models in production environments.Set up monitoring systems for deployed models and tracking key metrics.Apply and share software engineering best practices within the context of machine learning.Collaborate with ML engineers to ensure model performance is maintained in production and work with software engineers to integrate ML systems into the broader application stack.Accelerate machine learning development, evaluation, and integration speed through automation of workflows, tools, and processes to enhance collaboration and efficiency.

關於Quid（NetBase美商網基品牌） 總部位於矽谷，Quid是一家快速成長且充滿創業精神的公司。在全球社群媒體分析平台上，我們處於世界領先地位！ 我們將網際網路上的資訊，如 Facebook 貼文、Instagram圖片、 YouTube留言、Twitter 、各大新聞、消費者評論、產品評論、業務文檔，再到專利申請和論壇等數據，透過匯總、分析並經由最尖端的文字分析技術、自然語言處理技術(Natural Language Processing)及電腦視覺(Computer Vision)分析之後，幫助客戶從數據中取得有價值的資訊，透過我們的工具及服務，客戶可以更快速、更全面地了解市場趨勢、競爭對手、消費者偏好等，能制定更有效的營銷策略和商業決策，從而在市場中佔有更大的優勢。 In this ML Engineer Intern role, you will work closely with product teams to tackle AI problems in content discovery, text mining, and data analytics, with projects such as: Design and refine prompt strategies to improve social post classification and enhance NLP performance.Enabling user-driven customizations, e.g. with transfer learning.Correlating natural language data with business metrics.Discover topics of conversation across billions of social media posts. 【Responsibilities】 You will use LLM technology to build intelligent pipelines that extract insights from large-scale text data and power search features in Quid’s AI-driven products.You will be part of the team to design and implement serving architectures for large language models, ensuring scalability, reliability, and optimal performance.You will be coding in Python, applying CI/CD in software development, and deploying software to containerized applications.You will be working closely with machine learning engineers to understand the challenges of model usage, product requirements, and provide tools or solutions to help engineers address the problems.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team and Role:As an Audio ML Engineer on the Logitech Hardware Audio ML and DSP Product team, you will be instrumental in developing Embedded Audio ML models that create innovative audio experiences for our customers [ e.g. Speech/Audio enhancement] . This role offers a significant opportunity to contribute directly to the audio products we develop.The Audio ML Data Engineers key responsibilities include:Develop production-ready Audio ML models, leveraging multi-sensor data from the product.Ensure these models are deployed for efficient inference on resource-constrained platforms by employing optimization techniques, including Post-Training Quantization (PTQ), Quantization-Aware Training (QAT), pruning etc.Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Develop and implement highly optimized Audio ML models for efficient deployment on resource-constrained embedded platforms (e.g., ARM, Tensilica DSP, RISC-V, NPUs).Utilize techniques like  quantization [PTQ and QAT], and pruning to ensure effective on-device inference.Architect, optimize, and improve algorithm performance in complex real-world audio environments.Propose and implement novel solutions to challenging technical problems.Collaborate with various product teams to guarantee a premium and seamless customer audio experience.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:Audio ML Expertise (3 Years): Hands-on experience across the entire Audio ML lifecycle, including model training, tuning, quantization (PTQ and QAT), and deployment to production.ML Framework Proficiency: Advanced skills in ML frameworks (e.g., TensorFlow, Keras,PyTorch) with a history of successfully shipping Production ready Audio ML models.Embedded Optimization: Demonstrated success in optimizing model inference performance specifically for resource-constrained embedded systems.Strong Programming Best Practices: Excellent programming skills in Python and C, coupled with experience in code optimization and adherence to rigorous software best practices.Audio Data Augmentation: Experience with audio data augmentation techniques, including the ability to design, implement, and evaluate custom augmentation pipelines.ML Stack Debugging: Proficiency in Linux-based compute environments and experience debugging common ML training stack issues (e.g., OOM issues, CUDA errors, library conflicts).Preferred Qualifications:Audio Quality Assessment: Proven experience in designing and executing both subjective and objective audio quality evaluation protocols, including familiarity with industry-standard audio measurement metrics.Audio Artifact Resolution: Demonstrated track record of effectively identifying and resolving audio artifacts within ML audio chains..Technical Leadership Communication: Excellent communication, documentation, and leadership abilities, particularly in cross-functional technical environments.Initiative Execution: Highly driven individual with a demonstrated ability to deliver results and lead technically, both independently and as a contributing team member.Education:Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a closely related field.Equivalent practical experience is considered; advanced degrees or continuing education in audio ML are highly valued.#LI-SL1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.Role Overview:You will join Logitech’s Hardware Audio DSP and ML Product team to develop real-time Audio ML solutions that redefine customer audio experiences. The role requires a strong foundation in Audio Machine Learning and Digital Signal Processing.Responsibilities:Lead and Develop Innovative audio signal processing solutions for Multi-Channel Speech enhancement, Acoustic echo cancellation, Audio event classification, Spatial Audio using deep learning techniques.Lead and work on the end-to-end ML workflow from Data preparation, Model architecture design, Training, Deployment and evaluation of Audio ML targeting resource-constrained platforms such as Tensilica DSP, ARM, RISCV cores.and NPUs.Optimize and enhance algorithm performance under real-world conditions by proposing innovative solutions to complex challenges.Collaborate with cross-functional product teams to deliver seamless audio experiences for customers.Key Qualifications:10 years of experience in Audio signal processing and Machine learning with a proven track record of successfully delivering robust Audio ML solutions on schedule.Strong programming skills and hands-on experience using the following languages and ML frameworks: Python, C, TFL/LiteRT, Tensorflow, ONNX, PyTorchStrong knowledge of Audio Quality and Intelligibility assessment objective and subjective metrics. Adept at identifying audio artifacts and showcasing excellent listening skills.Strong leadership skills and experience working collaboratively with cross-functional teams.Strong problem-solving and communication skillsAdditional Skills:Deep understanding of state-of-the-art quantization techniques (e.g., training-aware quantization or mixed precision) to improve runtime efficiency.Identify and resolve performance bottlenecks in ML inference on embedded systems.Experience working on consumer audio products in the full hardware product lifecycle, including mass production.Passionate about Audio ML, being hands on and seeing your work come to life.Staying on top of emerging trends.Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Role :In this role you will be part of the Logitech Hardware Audio DSP and ML team developing and will be implementing real-time audio ML solutions to deliver innovative audio experiences to the customer. If you have a strong understanding of Audio DSP and TinyML  apply for this role and have a huge contribution on the audio products that we develop!Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech.In this role you will:Responsible for developing model and inference on resource constrained platforms like Tensilica DSP, ARM and RISCV cores.Responsible for optimizing and improving algorithm performance in real-world conditions – demonstrating innovative solutions to tough challenges.Work with cross-functional product team to deliver seamless customer audio experience.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:7 years of experience working in audio signal processing product teams.Tiny ML / Embedded ML - Hands-on experience porting neural network algorithms from intermediate representations such as Tensor Flow (TFLM), ONNX, etc. onto embedded targets using device-specific compilation tools and/or inference API’s.Deep understanding of on-device quantization techniques including post-training quantization, training-aware quantization, mixed precision inference.Strong programming skills in c, python.Conceptual understanding of how neural network operators map to embedded hardware accelerators such as DSP’s and NPU’s.Familiarity with Deep Learning Audio Signal Processing approaches for tasks including Speech enhancement / noise suppression / voice pickupAdditional Skills:Experienced with Linux, Docker.Familiarity with CMSIS NN, HIFI NNLib is a plusFamiliarity with audio measurements and standard subjective/objective audio evaluation metrics.Experience working in hardware product teams from product concept to mass productionGood Audio listening skills and experience detecting audio artifacts.Experience communicating effectively in a cross functional environment. Strong problem-solving, critical-thinking skillsFamiliarity with code version control practicesEducation:Minimum Engineering degree in EE, CS or equivalent practical experience. #LI-MR2Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.The Team and Role:As an Audio ML Data Engineer on the Logitech Hardware Audio ML and DSP Product team, you will work on developing and managing our audio datasets and data pipelines. This work directly influences the innovative audio experiences we deliver to our customers.The Audio ML Data Engineers key responsibilities include:Data Pipeline Management: Ensuring the integrity and quality of Audio ML data pipelines and datasets, which involves robust data augmentation and managing workflows for supervised, unsupervised, and semi-supervised ML audio applications.Model Development and Deployment: Collaborating with the team to develop and deploy Audio ML models, specifically targeting platforms with strict resource limitations (such as Tensilica DSP, ARM, and RISC-V).Your Contribution:Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you’ll need for success at Logitech. In this role you will:Design and manage audio data collection, curation, labeling, cleaning and augmentation pipelinesEvaluate and implement scalable data augmentation techniques.Establish and maintain high-quality, well-versioned, and documented datasets essential for training, validation, and benchmarking of audio ML models.Build automated tools for monitoring and ensuring the quality and statistical diversity of audio data.Formulate and execute strategies for continuous improvement of existing datasets.Key Qualifications:For consideration, you must bring the following minimum skills and experiences to our team:Audio Data Expertise: A minimum of 3 years of direct experience working with extensive audio datasets, including advanced data augmentation and preprocessing techniques audio ML.Python Proficiency: Strong proficiency in Python for both ML model development and automating data pipelines.Data Pipelines and ML Frameworks: Proven expertise in building scalable data pipelines and expertise in employing ML frameworks (TensorFlow, Keras) with large-scale, complex datasetsPreferred Qualifications:​Expert-level skills in audio analysis, including listening and artifact detection, with a proven track record of validating performance across diverse datasets.Strong familiarity with designing, executing, and statistically analyzing audio quality measurement protocols, specializing in managing data-driven objective and subjective evaluations.A strong data-first mindset, with a demonstrated ability to drive innovation both independently and as part of a team.Proficiency in C and SQL, along with experience using code version control systems (Git), is a valuable asset.Excellent cross-functional communication, documentation, and leadership skills, emphasizing transparency in data and results.Education:Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related discipline.Equivalent practical experience in professional audio ML and data engineering considered; advanced/relevant continuing education preferred.#LI-SL1Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don’t meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can’t wait to tell you more about them being that there are too many to list here and they vary based on location.All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at 1-510-713-4866 for assistance and we will get back to you as soon as possible.

For New Taipei City and Zhubei candidates: Google welcomes people with disabilities.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New Taipei, Banqiao District, New Taipei City, Taiwan; Zhubei, Zhubei City, Hsinchu County, Taiwan.Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Science, or equivalent practical experience. 4 years of experience in multimedia technologies, including imaging pipelines in silicon development. 1 year of experience in machine learning on hardware acceleration. Preferred qualifications: PhD in Computer Science, Electrical Engineering, or a related field. 5 years of experience in multimedia technologies, including imaging and pipeline in silicon development. 3 years of experience in machine learning hardware architecture and software infrastructure. Experience developing hardware IP or system level silicon architecture plan. Understanding of machine learning or image/video/display processing algorithms for photography applications. About the jobBe part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. In this role, you will design and build the hardware, software and networking technologies that power all of Google's services. You will design and build the systems that are important in the world's largest computing infrastructure. You develop from the levels of circuit design to large system design and see those systems all the way through to volume manufacturing. Your work has the potential to shape the machinery that goes into our data centers affecting millions of Google users. You will develop new hardware architectures for hardware-accelerated image/video/display use cases. You will work on topics that span areas of image processing, digital imaging, computer vision, computational photography, and machine intelligence. You will develop and specify optimized architectures for current and future generation products. You will also collaborate with stakeholders to build and test the best hardware architectures to process images/videos/display for applications including digital photography and machine intelligence.Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Responsibilities Design and develop multimedia systems relevant to imaging, video, and display pipelines for hardware implementations. Evaluate the architectural design and algorithms for digital photography, computer vision, machine intelligence scenarios. Design, define and specify computer vision and image and video processing Internet Protocol (IP). Author hardware specifications for efficient and practical implementation. Collaborate with other architects to create optimized and innovative solutions including video, image processing and machine intelligence experiences. Work with a variety of stakeholders, including product managers, algorithm developers, and software teams to create immersive and engaging user experiences. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Minimum qualifications: Bachelor’s degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential selection), ML infrastructure, or specialization in a related ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Experience in Python, machine learning, data analytics. Preferred qualifications: Master's degree or PhD in Computer Science or a related technical field. 2 years of experience with data structures and algorithms. Experience in developing accessible technologies. About the jobGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Team is responsible for Content Trust Platform which includes Machine Learning (ML) models, infrastructure, rules, tools and workflows that auto-moderate user-generated content on Google Maps like ensuring quality of user-generated content, prevent fraud and abuse, protecting Google Maps from certain issues.The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices among available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.