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Join Waymo, a leader in autonomous driving technology, as a Staff Software Engineer specializing in Machine Learning Performance. We are seeking an innovative engineer to enhance the performance of our machine learning models. You will collaborate with cross-functional teams, engage in cutting-edge research, and implement solutions that will drive advancements in our technology.
Waymo is dedicated to making it safe and easy for people and things to get where they’re going. As a subsidiary of Alphabet Inc., we are at the forefront of developing autonomous vehicles with the goal of improving mobility and transportation for everyone.
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Join Appier as a Machine Learning Engineer Intern and gain hands-on experience in the exciting field of artificial intelligence. You will work alongside our talented engineering team to develop innovative machine learning models and algorithms that drive our products forward. This internship is an excellent opportunity to apply your academic knowledge in a r…
The ASUS Robotics & AI Center is on the lookout for a highly skilled Senior Machine Learning Engineer to become an integral part of our global research and development team. This pivotal role focuses on spearheading the design and implementation of cutting-edge computer vision and perception systems for our next-generation autonomous platforms.We seek an experienced engineer with profound technical knowledge, sound engineering judgment, and a strong history of delivering production-ready machine learning systems in challenging real-world scenarios. The ideal candidate will be a mature, self-motivated contributor capable of influencing technical decisions, mentoring peers, and collaborating effectively within a multidisciplinary team.Lead the architecture and development of machine learning systems tailored for computer vision and perception tasks.Enhance models for optimal real-time performance on embedded and edge computing platforms.Create and maintain resilient perception pipelines that integrate data from cameras and various sensors.Assess and apply state-of-the-art methodologies in deep learning, object detection, and visual tracking.Guide technical decisions and offer insights on architecture, tools, and best practices within the team.Design and conduct experiments, including simulations and real-world field tests, to validate model performance.Manage and enhance datasets, pipelines, and tools to facilitate efficient model training and deployment.Collaborate with diverse teams, including robotics, systems, and software engineers, to deliver production-ready solutions.
We are seeking a talented Software Engineer specializing in Machine Learning Performance to join our innovative team at Waymo. In this role, you will contribute to enhancing the efficiency and effectiveness of our machine learning algorithms, ensuring optimal performance in real-world applications. This is an exciting opportunity to work at the forefront of technology and make a significant impact in the field of autonomous driving.
Join Waymo as a Software Engineer focused on Machine Learning Tooling, where you'll be instrumental in developing cutting-edge tools and technologies that enhance our machine learning processes. Collaborate with a talented team of engineers and researchers to build innovative solutions that drive the future of autonomous vehicles.
Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Established as the Google Self-Driving Car Project in 2009, Waymo has been on a mission to create the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and save lives lost to traffic accidents. The Waymo Driver is the backbone of our fully autonomous ride-hail service and can be integrated across various vehicle platforms and applications. With over ten million rider-only trips and extensive experience driving autonomously for more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states, Waymo is leading the charge in this transformative industry.This position follows a hybrid work schedule and reports to the Tech Lead Manager of the Compute team.Your responsibilities will include:Designing and implementing complete stack solutions, including firmware, low-level drivers, and APIs for machine learning accelerator chips.Analyzing and optimizing firmware and driver performance for challenging AI workloads.Collaborating closely with hardware engineers throughout the ASIC design and verification phases.Creating efficient memory management solutions, including NUMA and IOMMU.
Join Waymo, a leader in autonomous driving technology, as a Staff Software Engineer specializing in Machine Learning Performance. We are seeking an innovative engineer to enhance the performance of our machine learning models. You will collaborate with cross-functional teams, engage in cutting-edge research, and implement solutions that will drive advancements in our technology.
About Appier Appier is a cutting-edge software-as-a-service (SaaS) firm leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the goal of democratizing AI, our mission is to convert AI into tangible ROI by crafting intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., Appier is proudly listed on the Tokyo Stock Exchange (Ticker number: 4180). For more details, visit www.appier.com. About the Role We are on the lookout for a Senior Software Engineer specializing in Machine Learning to join our Enterprise Solution Science Team. This dynamic team is dedicated to applying advanced ML technologies to real-world marketing challenges by integrating them with comprehensive omnichannel customer data. In this role, you will play a crucial part in bridging the divide between research and production by developing and refining scalable, high-performance ML infrastructure, including data pipelines, dashboards, and monitoring systems. Your Responsibilities Design and manage robust ML job execution frameworks for training, inference, and post-processing. Develop and sustain internal API servers and developer tools to coordinate ML jobs on Kubernetes (using Argo Workflows, Helm, Terraform). Architect, implement, and scale batch (Spark) pipelines for ML training and evaluation. Design and oversee data infrastructure using PostgreSQL and other databases. Guarantee high availability and observability through monitoring tools such as Prometheus and Grafana. Create internal tools and services to streamline ML experimentation and production workflows. Collaborate closely with ML scientists to translate research outputs into user-friendly product features. Work in partnership with engineers, project managers, and other cross-functional teams to deliver superior AI products. Qualifications We Seek (Minimum Requirements) Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred). 3+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, including deploying enterprise-level ML systems (model serving, pipeline automation), integrating data sources, and building dashboards. Proficiency in at least one programming language such as Python, Java, or Scala.
Join Axiado as a Senior Machine Learning Engineer with a focus on cybersecurity. We seek a candidate who possesses an in-depth understanding of the dynamic cyber threat landscape and the capability to develop innovative AI-driven solutions to combat these challenges. This role requires expertise in addressing complex cyber-attacks, including ransomware, while ensuring top-tier security in data centers and operational environments.Key Responsibilities:1. End-to-End Machine Learning Pipeline Development:· Design and manage comprehensive machine learning pipelines specifically for cybersecurity applications.· Implement efficient data preprocessing and feature engineering strategies tailored for cyber threat detection.2. Expertise in LLMs, Transformers, and Frameworks:· Leverage large language models and transformers to analyze and predict cybersecurity threats.· Proficient in frameworks such as PyTorch and TensorFlow in the context of cybersecurity.3. Specialized in Cyber Threat Detection and Mitigation:· Create AI-based solutions for the detection and prevention of ransomware and other sophisticated cyber threats.· Implement BMC (Baseboard Management Controller) level security measures to protect data centers.· Conduct machine learning-based behavioral analysis in routine operational environments to identify anomalies and thwart intrusions.4. Edge Computing for Cybersecurity Applications:· Optimize cybersecurity-focused machine learning models for deployment on edge devices.· Tackle the unique challenges associated with implementing AI solutions in resource-constrained environments.5. Professional and Research Expertise in Cybersecurity and AI:· Candidates with experience in cybersecurity and AI are preferred, with the ability to translate research into practical solutions.· Engage actively in research, ensuring awareness of the latest threats and technological advancements in cybersecurity.
About Appier Appier is a pioneering software-as-a-service (SaaS) company that leverages artificial intelligence (AI) to enhance business decision-making. Established in 2012, our vision is to democratize AI and transform it into measurable return on investment (ROI) by creating intelligent software solutions. With 17 offices spanning APAC, Europe, and the U.S., Appier is listed on the Tokyo Stock Exchange (Ticker number: 4180). For further insights, visit www.appier.com. About the Role As a Machine Learning Scientist at Appier, you will play a crucial role in advancing our research initiatives, focusing on real-world applications of our products. Key Responsibilities Employ machine learning and analytical techniques to create predictive models for advertising and enterprise solutions. Analyze and extract actionable insights from extensive business data sets. Design, develop, and validate advanced models to predict consumer behavior. Collaborate with software engineering teams to implement real-time models and develop new features. Create efficient, scalable, and automated processes for large-scale data analysis, model development, validation, and implementation. Research and evaluate innovative machine learning and statistical models. About You Minimum Qualifications: Master's or Ph.D. in Computer Science, Machine Learning, Mathematics, or Statistics with knowledge of probabilistic models. Strong experience in system design and programming, capable of working with big data with minimal engineering support. 3+ years of experience in data mining, algorithms, statistical analysis, computational NLP, and/or machine learning. Proven track record of solving complex challenges in academia and industry. Extensive publication portfolio. Self-motivated with the ability to prioritize multiple competing tasks in a rapidly growing environment. Possess meta-cognitive skills and a commitment to continuous learning. Ability to think and communicate with clarity and precision. Preferred Qualifications: Exceptional presentation skills to convey product ideas to both technical and non-technical audiences. #LI-AK1
Join the ASUS Robotics & AI Center as a Machine Learning Engineer, where you will be an integral part of our global research and development team. This exciting role emphasizes the design, implementation, and optimization of cutting-edge computer vision and perception systems, driving our next-generation autonomous platforms.We are in search of a dedicated engineer who has hands-on experience in deploying machine learning models in a production environment. You should possess a solid foundation in computer vision and digital imaging, along with a fervor for transforming algorithms into practical, real-world applications. The ideal candidate will thrive in a multidisciplinary setting, contributing to the development of robust, real-time perception pipelines that enhance advanced AI and robotics solutions.
About Appier Appier stands as a premier SaaS company dedicated to empowering organizations with innovative artificial intelligence (AI) solutions that enhance decision-making processes. Established in 2012, our mission is to democratize AI by transforming intricate data into actionable insights, ensuring AI is both accessible and profitable for businesses. With 17 offices spread across APAC, Europe, and the U.S., and publicly traded on the Tokyo Stock Exchange (Ticker: 4180), Appier continues to lead the charge in AI advancements. For more details, please visit www.appier.com. About the Role We are seeking a driven and technically proficient Senior Software Engineer, Machine Learning to become a part of our esteemed Enterprise Solution Engineering Team, AIXON. This specialized team utilizes advanced ML technologies to tackle real-world marketing challenges through the integration of omnichannel customer data on a large scale. In this position, you will serve as a crucial link between innovative research and production-level deployment. Your responsibilities will include designing, constructing, and enhancing scalable, high-performance ML infrastructure, which encompasses data pipelines, APIs, monitoring systems, and workflow orchestration, thereby powering groundbreaking AI solutions.
Appier Inc.
Join Appier as a Machine Learning Scientist Intern and immerse yourself in the dynamic field of artificial intelligence. This internship offers you the chance to collaborate with a talented team, gain hands-on experience, and contribute to cutting-edge machine learning projects.
Collaborate with diverse stakeholders to extract valuable insights from data using advanced statistical and machine learning methodologies.Utilize rapid experimentation and iterative exploratory data analysis to accelerate time to market.Partner with data infrastructure engineers to develop superior data systems and tools.Create clean, maintainable, and well-documented code to ensure quality and efficiency.Engage in a cross-functional team responsible for the entire software development lifecycle.Independently research relevant literature and disseminate your findings and knowledge to stakeholders.Work closely with other teams to design optimal software architecture solutions.
About Appier Appier is an innovative software-as-a-service (SaaS) company leveraging artificial intelligence (AI) to facilitate informed business decision-making. Founded in 2012, Appier aims to democratize AI, transforming it into tangible returns on investment (ROI) by enhancing software intelligence. With 17 offices across the Asia-Pacific, Europe, and the United States, and its listing on the Tokyo Stock Exchange (Ticker number: 4180), Appier is at the forefront of AI advancements. For more details, visit www.appier.com. The Impact You’ll Make at Appier We are in search of a Senior Machine Learning Scientist to join our dynamic Advertising Cloud Optimization team, responsible for developing core machine learning algorithms that enhance campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates on a vast scale, processing millions of queries per second (QPS) powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this position, you will assess ads incrementality across various traffic types, creatives, and user segments, while optimizing campaign efficiency through advanced machine learning models and AI automation. What You’ll Work On Utilize scientific methodologies to enhance ads measurement. Lead online experiments to continuously boost ad effectiveness. Independently manage project initiatives. Collaborate with product stakeholders, backend, and frontend teams to deliver measurement solutions for our clients. What We’re Looking For Master’s or PhD in Computer Science, Machine Learning, Statistics, Econometrics, or a related discipline. 3+ years of industry experience in causal inference, incrementality, marketing mix modeling, or other measurement solutions within digital advertising, with a solid understanding of methodologies and their underlying assumptions. Proficiency in Python and SQL, along with experience in modern ML frameworks (e.g., PyTorch, TensorFlow). Demonstrated ownership and strong collaboration capabilities.
Join Appier as a Senior Machine Learning Scientist specializing in Playable Ads, where your expertise in machine learning will drive innovative advertising solutions. You'll collaborate with cross-functional teams to develop and enhance algorithms that optimize user engagement and conversion rates. This is a fantastic opportunity to influence the future of digital marketing through advanced machine learning techniques.
About Appier Appier is a pioneering software-as-a-service (SaaS) organization dedicated to leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the vision of democratizing AI, our mission is to transform AI into tangible returns on investment (ROI) by creating intelligent software solutions. With 17 offices across the Asia-Pacific, Europe, and the United States, Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Explore more at www.appier.com. Your Impact at Appier We are on the lookout for a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team spearheads the development of core machine learning algorithms that enhance campaign efficiency and maximize advertiser ROI. Our programmatic advertising platform operates at an extraordinary scale, processing millions of queries per second (QPS), all driven by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you will play a vital part in boosting the efficiency and profitability of advertising campaigns by refining models for bidding, pricing, and personalized content recommendations, while ensuring system robustness and scalability in a fast-paced market environment. Key Responsibilities Design, implement, and launch cutting-edge ML models to optimize campaign outcomes. Analyze extensive user and auction data to uncover predictive patterns and alpha signals that improve bidding and personalization strategies. Work collaboratively with engineering, product, and data teams to identify opportunities, outline roadmaps, and deliver impactful solutions. Continuously enhance system performance through offline experimentation and online testing (e.g., A/B tests, incremental learning). Qualifications Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering, or a related field; Master’s or PhD preferred. 4+ years of experience in ad tech, focusing on performance optimization. Demonstrated expertise in applied machine learning, particularly in CTR prediction and recommendation systems. Proficiency in Python and experience with relevant machine learning frameworks.
About Appier Appier is a pioneering software-as-a-service (SaaS) company dedicated to harnessing the power of artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the vision of making AI accessible to all, our mission is to transform AI into measurable ROI by developing intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., Appier is publicly traded on the Tokyo Stock Exchange (Ticker number: 4180). Discover more at www.appier.com. About the Role We are seeking a Senior Machine Learning Scientist to join our Enterprise Solution Science Team. This dynamic team focuses on leveraging state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data. In this position, you will take charge of the entire development process, from defining problems to successfully deploying models into production. What You’ll Work On Engage in projects related to user intention prediction, user segmentation, product recommendation, campaign content optimization, and send time optimization. Collaborate with product teams to convert product objectives and business requirements into clearly defined ML problems during the planning phase. Partner closely with ML engineers for deploying models to production, ensuring their reliability and maintainability. Perform offline and online evaluations, monitor, and continuously optimize models post-deployment. Stay abreast of the latest research and proactively suggest innovative applications. Mentor junior scientists and contribute to the evolution of team culture and standards.
About Appier Appier is a cutting-edge software-as-a-service (SaaS) company leveraging artificial intelligence (AI) to enhance business decision-making. Established in 2012 with the ambition of democratizing AI, our mission is to transform AI into tangible returns on investment (ROI) by creating intelligent software solutions. With 17 offices spanning across APAC, Europe, and the U.S., we are proud to be listed on the Tokyo Stock Exchange (Ticker number: 4180). For more details, please visit www.appier.com. Role Overview We are seeking an experienced Senior Machine Learning Scientist specializing in LLM to join our dynamic Enterprise Solution Science Team. This team is dedicated to employing advanced ML technologies to address real-world marketing challenges by integrating them with comprehensive omnichannel customer data. In this pivotal role, you will oversee the complete development lifecycle, from defining problems to implementing models in production. Key Responsibilities Engage with various LLM-related projects such as agents, chatbots, copilots, and retrieval-augmented generation (RAG) systems. Collaborate with product teams to translate business objectives into clearly defined ML challenges during the planning phase. Partner with ML engineers to ensure seamless deployment of models into production, with a focus on reliability and maintainability. Conduct thorough offline and online evaluations, continuous monitoring, and optimization of models post-deployment. Stay informed about the latest research developments and proactively suggest innovative ML applications. (Optional) Mentor junior scientists and contribute to the development of the team's culture and standards. Qualifications (Minimum) Master’s or PhD degree in Computer Science, Machine Learning, Mathematics, Electrical Engineering, or related discipline. 3+ years of experience in machine learning or engineering roles. Proven track record in building and deploying enterprise-grade LLM applications (e.g., intelligent agents). Familiarity with LLM evaluation methodologies, including hallucination detection and confidence scoring, emphasizing quantitative metrics and systematic benchmarking. Hands-on experience with complex reasoning, modular workflows (e.g., multi-component prompting, agent orchestration), and RAG pipelines. Demonstrated experience in cross-functional collaboration and leading industry-specific projects. A strong sense of impact, coupled with excellent analytical and problem-solving skills.
About the Role We are looking for an enthusiastic Data Analyst Intern to join our innovative product R&D team in Taiwan. In this role, you will engage in data analysis to assist Appier teams in addressing critical business and operational inquiries. We value candidates who can dedicate 2-3 days a week and are prepared for a minimum internship duration of 6 months, starting immediately. Please confirm your availability before applying. Responsibilities Analyze complex data sets to identify trends and patterns using statistical and visualization tools. Prepare data analysis reports showcasing insights and results. Collaborate with scientists and engineers to monitor and troubleshoot systems effectively. Develop tools and systems that enhance the efficiency of analysis processes and the quality of reports. About You [Minimum Qualifications] Currently enrolled senior students or graduate students in a relevant field. Strong analytical skills to derive valuable insights from data. Ability to communicate data analysis findings to diverse audiences. Proficient in both written and spoken English. Knowledge of statistics and experience with SQL for data extraction and aggregation, as well as proficiency in Spreadsheet/Excel. Familiarity with machine learning concepts and basic experience using machine learning tools. Proficient in Python programming for simple automation tasks. [Preferred Qualifications] Experience in the digital advertising industry. Hands-on experience with analytical/visualization tools such as SQL, R, and Tableau. Advanced Python programming skills for complex analyses. Experience in writing Spark programs for data analysis.
Astera Labs
Astera Labs creates connectivity solutions designed for AI infrastructure. The company works closely with hyperscalers and other technology partners to help organizations use the latest AI capabilities. Astera’s platform combines technologies such as CXL®, Ethernet, NVLink, PCIe®, and UALink™, all integrated with the COSMOS software suite for adaptable system connectivity. Role overview The Field Quality Engineer Intern position is based onsite in Taipei, Taiwan. This internship centers on supporting product quality improvements for Astera Labs’ AI infrastructure offerings. Interns play a part in ensuring the reliability and performance of advanced connectivity technologies. What you will do Help drive quality enhancements across a range of AI infrastructure products Gain hands-on experience with technologies that support large-scale AI systems Work alongside experienced engineers in a collaborative environment
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