Machine Learning Software Engineer

Axiado is seeking a Senior Machine Learning Engineer with a focus on cybersecurity for its San Jose office. This position centers on building and refining machine learning models that strengthen security systems and help defend against new and complex cyber threats. Role overview This role involves designing, implementing, and optimizing advanced machine learning solutions tailored for cybersecurity applications. The work directly contributes to protecting clients by improving the detection and response capabilities of Axiado’s security technologies. What you will do Develop and enhance machine learning algorithms for security systems Apply cybersecurity knowledge to inform model design and implementation Optimize models to address evolving threat landscapes Requirements Expertise in machine learning algorithms Experience applying machine learning to cybersecurity problems Ability to design and implement advanced models for threat protection

Drive Innovation with PurposeAt BILL, we empower businesses to thrive in today’s economy. By revolutionizing outdated financial practices with cutting-edge tools, we enable enterprises—from emerging startups to established brands—to make informed decisions and take command of their operations. Our mission extends beyond the present; we are pioneering the future of financial automation, allowing businesses to focus on what truly matters.Joining our team means becoming part of a vision-driven community that embraces challenges and crafts innovative solutions. We cherish purpose, ambition, and curiosity, thriving in a dynamic and fast-paced environment. Whether based in our offices in San Jose, CA, Draper, UT, or working remotely, BILLers collaborate to create significant impacts for businesses, giving them more time in their busy schedules.At BILL, we build high-performing teams and are committed to hiring the best talent for every position. We strive to create a workplace that promotes inclusion and diverse perspectives, valuing each individual’s unique skills and experiences. We are eager to hear from you—whether this role is a fit or not, you could be just who we need! Let’s provide businesses the time to focus on what’s important.Make Your Mark in a Rapidly Growing Fintech CompanyBecome a vital member of BILL's AI Product Engineering team and help define the future of intelligent financial automation. As a Senior Machine Learning Engineer, you will be instrumental in designing, developing, and deploying machine learning solutions that drive BILL's next-generation products. This role offers a unique opportunity to work in a collaborative, high-impact setting where your expertise will directly influence our growth and enhance the experience of millions of users.

Teamwork Makes the Stream Work. Roku is Revolutionizing Television ViewingRoku stands as the leading TV streaming platform across the U.S., Canada, and Mexico, with ambitions to power every television globally. As pioneers in streaming technology, our mission is to serve as the connective tissue of the TV ecosystem. We bridge consumers with the content they cherish, empower content creators to build and monetize vast audiences, and offer advertisers innovative tools to engage users effectively.Your journey at Roku begins with a meaningful contribution. Join our rapidly expanding public company where every team member plays an integral role. Here, you will have the chance to delight millions of TV streamers worldwide while gaining invaluable experience across diverse fields. About Our TeamThe Recommendations team is dedicated to enhancing user experiences on our platform through cutting-edge machine learning. Our goal is to deliver personalized, context-aware recommendations that evolve with each user's preferences in real-time. We believe that true innovation in personalization is built upon a robust, adaptable ML platform designed for experimentation and scalability. Our team is responsible for designing and building the foundational ML infrastructure, ensuring our systems remain swift, reliable, and at the forefront of technological advancement. Our efforts combine innovation, engineering excellence, and a profound commitment to understanding our users, influencing how they discover and engage with content daily.About the RoleWe are looking for a talented, innovative, and passionate Senior Machine Learning Platform Engineer to join Roku's Recommendations team. In this role, you will design, build, and scale resilient distributed systems that power the next evolution of personalized content recommendations for millions of Roku users. Your focus will be on developing comprehensive machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are tailored to each candidate's unique factors, including but not limited to skill set, certifications, and geographical location. This role is eligible for health insurance, equity awards, life insurance, and more.

Join Extreme Networks, where over 50,000 customers worldwide trust our innovative, cloud-driven networking solutions to propel their digital transformation. Our commitment to excellence is reflected in our top-rated services that facilitate unparalleled progress. As we continue to experience double-digit growth year after year, we are uniquely positioned to deliver scalable outcomes for our clients.At Extreme, inclusion is embedded in our culture. We are dedicated to creating a diverse workplace that celebrates differences and fosters an environment where all employees can thrive.Be part of something significant with Extreme! Discover why now is the perfect time to join our team as a global leader in networking.Senior Software Engineer (Generative AI, Machine Learning): Experience: 5+ YearsLocation: San Jose, CA / Toronto, CanadaRemoteAre you passionate about innovating with Generative AI? Do you aspire to make a global impact while addressing the forefront challenges of Artificial Intelligence? Join us in building transformative products that will redefine the future of AI-driven network management at Extreme.This role presents a unique opportunity to define next-generation networking experiences using Generative AI, Machine Learning, Big Data, and Cloud Computing. You will play a key role in shaping the user journey, product vision, and technical roadmap, spearheading innovation from concept to execution.Now is an exciting time to join Extreme. With multiple strategic acquisitions enhancing our portfolio and market strategy, we are witnessing unprecedented global growth. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year recipient of the Best Employer award, Extreme is dedicated to a culture of diversity, inclusion, and equality, ensuring every employee thrives because of their unique perspectives.Our AI Core team is at the forefront of developing platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations not only enhance our flagship Extreme products but also pave the way for entirely new offerings. Together, we are revolutionizing how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real-time.At Extreme, innovation is not just encouraged; it is expected. Join us and help shape the future of intelligent network management.

Join our innovative team at Jobs for Humanity as a Machine Learning Engineer, where you will have the opportunity to shape the future of technology and contribute to meaningful projects that impact lives. As a part of our dedicated team, you will harness your expertise in machine learning to develop cutting-edge solutions that drive efficiency and effectiveness.

Join Bill.com as a Senior Staff Machine Learning Engineer, where you will play a pivotal role in building and enhancing our machine learning platform. Your expertise will guide the development of innovative solutions, driving efficiency and effectiveness across our systems. Collaborate with cross-functional teams to transform data into actionable insights, ensuring optimal performance and scalability.

Axiado is looking for a Staff Machine Learning Engineer in San Jose to help shape the next generation of machine learning solutions. This position centers on developing advanced algorithms and models that support the company’s products. Role overview As a key contributor, you will work closely with teams across the organization to analyze data and design machine learning strategies. Your expertise will play a central role in improving user experiences and advancing Axiado’s technology. What you will do Develop and refine machine learning algorithms and models Collaborate with cross-functional groups to identify opportunities for ML-driven improvements Implement strategies that enhance the capabilities of Axiado’s products Requirements Strong background in machine learning and algorithm development Experience working with data analysis and model implementation Ability to collaborate effectively with diverse teams

Zscaler connects users, devices, and applications securely from anywhere, supporting organizations as they move to cloud-first strategies. The company’s Zero Trust Exchange platform relies on a large-scale security data lake to help protect against cyber threats and data breaches. Teams at Zscaler value results, encourage open discussion, and prioritize trust, accountability, and customer focus. Role overview The Senior Staff Machine Learning Engineer joins the Digital Experience (Core Intelligence and Data) team. This hybrid role is based in San Jose, California, with an in-office requirement of three days per week. Reporting to the Senior Manager of Software Engineering, this position supports the ongoing development and improvement of Zscaler’s cloud security platform, which serves more than 15 million users worldwide. The work centers on advancing a scalable, multitenant architecture that enables organizations to adopt cloud solutions securely. What you will do Lead the creation of a troubleshooting framework by defining high-impact use cases, designing workflows and playbooks, and establishing processes across Zscaler products. Assess and incorporate new GenAI technologies to deliver production features, focusing on reliability and cost-effectiveness. This includes working with large language models (LLMs), machine learning models, data processing, model fine-tuning, and inference optimization. Collaborate with cloud platform and data lake teams to identify and develop new features. Location This is a hybrid position based in San Jose, California. Expect to be in the office three days each week.

About the RoleWe are seeking a passionate Machine Learning Engineering Intern to join our perception and learned-behavior teams. As an intern, you will tackle real-world challenges using actual data from machines in the field, rather than simplified datasets. Your projects may include:Creating auto-labeling pipelines to enhance our training data.Designing generative simulation environments for model assessment.Refining model inference for deployment on edge devices (NVIDIA Jetson).Assisting in the training and evaluation of BEV (bird's-eye-view) perception or VLA models.This hands-on position will enable you to deploy code that directly influences our autonomy stack.

Join our dynamic team at Jobs for Humanity, where we are dedicated to utilizing technology to create meaningful opportunities for individuals from diverse backgrounds. As a Machine Learning Engineer, you will drive innovative projects, develop cutting-edge algorithms, and collaborate with cross-functional teams to enhance our platform's capabilities.

About the RoleWe are seeking a talented Senior Machine Learning Engineer to lead the entire process of training and deploying comprehensive Vision-Language-Action (VLA) models for outdoor autonomy. You will be responsible for developing models that empower various vehicles—from our Amiga platform to heavy machinery—to navigate, act, and adapt effectively in unstructured outdoor environments, utilizing raw sensor inputs such as cameras, IMU, GPS, and LiDAR. With our extensive dataset of heavy equipment operations collected from field deployments, we are looking for individuals capable of harnessing vast real-world data along with targeted data collection to train a robust VLA model. This high-impact role encompasses all aspects from data pipelines and model architecture to real-world deployment on edge hardware.What You'll DoDesign, train, and refine VLA and other learned behavior policy architectures aimed at vehicle control in diverse outdoor settings.Establish and uphold robust data pipelines—including ingestion, curation, labeling, and versioning—to facilitate reproducible, high-quality training at scale.Create evaluation frameworks encompassing offline metrics, simulation-based testing, and real-world field validation loops.

About UsAt ChipStack, we stand at the forefront of the technological revolution, aiming to transform the design of silicon chips which are pivotal in today's tech-centric landscape. While their complexity has surged due to rising performance requirements from applications such as AI, the methods used for their design have remained stagnant for decades. We are determined to innovate and lead this change.Our team is dynamic, highly skilled, and operates with agility. We are comprised of experts with experience at leading technology companies including Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. Supported by premier investors such as Khosla Ventures, Cerberus, and Clear Ventures, we have already partnered with over 10 pioneering clients, ranging from Fortune 100 giants to ground-breaking AI silicon startups.About This RoleThis position offers an exceptional opportunity to join the founding team at ChipStack, where we are redefining the approach to modern silicon chip design. Collaborating with seasoned chip designers, machine learning scientists who have successfully trained large language models (LLMs) at scale, and top-tier infrastructure and software engineers, you will leverage your expertise in ML and data infrastructure to tackle some of the most challenging problems in chip design.About YouYou thrive in a startup environment, drawn by the energy and dynamism it provides. You are committed to delivering outstanding customer experiences, willing to go the extra mile to ensure satisfaction. Self-motivated and driven, you possess a strong sense of urgency and the ability to work independently with minimal guidance. You welcome complex problems and relish the opportunity to explore uncharted territories.This RoleWe seek a skilled and experienced ML Infrastructure Engineer to join our founding team. The ideal candidate will have a solid background in designing and scaling ML infrastructure and training pipelines. Your primary responsibility will be to construct the foundational infrastructure that supports the training, fine-tuning, evaluation, and deployment of LLMs in both cloud and on-premise environments. Your contributions will significantly enhance our product capabilities and accelerate our iteration processes.

Founded in 2017, WeRide (NASDAQ: WRD) stands at the forefront of autonomous driving technology, pioneering advancements from Level 2 to Level 4. As the only technology firm globally holding driverless permits across China, the UAE, Singapore, and the United States, WeRide conducts extensive R&D, testing, and operational deployment in over 30 cities across 10 countries. With a proven track record of operating a self-driving fleet for over 2,200 days, WeRide is dedicated to shaping the future of mobility.The Silicon Valley team at WeRide.ai is on the lookout for a talented Perception Engineer to drive the implementation of cutting-edge automotive vision and machine learning algorithms.

About AizenAt Aizen, our goal is to simplify AI while maximizing its potential. We offer a comprehensive platform that efficiently manages the entire AI pipeline—from data ingestion and orchestration to model training, deployment, and monitoring. This allows businesses to concentrate on what truly matters: creating and scaling innovative AI solutions without unnecessary complications.Frustrated by cumbersome AI workflows and makeshift solutions that impede AI adoption, we started Aizen. Now, we support companies of all sizes, from budding startups to Fortune 500 giants, in enhancing their AI capabilities and scaling seamlessly. By transforming the way AI is developed, deployed, and overseen, we are making AI more accessible and impactful than ever. If you are passionate about developing cutting-edge technology, addressing real-world challenges, and collaborating with a top-notch engineering team, we would love to connect with you.About the TeamAizen was established by a group of serial entrepreneurs who possess extensive expertise in data storage, distributed systems, and real-time AI architecture. With a track record of building and scaling tech companies—some achieving successful exits of over $1 billion—our team understands the key elements required to create an exceptional product and company. We have crafted Aizen from the ground up to streamline the AI pipeline, enhance performance, and ensure AI is genuinely accessible to enterprises of all sizes.About the RoleAs a Machine Learning Engineer at Aizen, you will play a pivotal role in constructing and refining the AI pipelines that drive our comprehensive AI platform. You will engage with various aspects of the stack, from data ingestion and model training to real-time inference and monitoring, guaranteeing smooth AI deployment at scale. Whether you are an entry-level engineer eager to advance or a senior engineer prepared to spearhead significant projects, this role presents the chance to tackle challenging ML problems, boost automation, and contribute to the future of AI infrastructure.Core ResponsibilitiesAI Pipeline Development – Design, construct, and optimize comprehensive AI pipelines for data ingestion, training, deployment, and real-time inference, ensuring smooth integration with MLOps and infrastructure systems.Model Training & Deployment – Create training and fine-tuning workflows for ML models, focusing on efficiency, scalability, and reproducibility across cloud, on-premise, and edge environments.Backend & API Development – Develop and integrate scalable backend services and APIs for model inference...

Join a thriving team at Extreme Networks, where over 50,000 customers worldwide rely on our innovative, cloud-driven networking solutions to elevate their digital transformation journey. Our commitment to providing top-tier services and support has positioned us as a leader in scalable networking solutions, experiencing double-digit growth year after year.At Extreme, inclusion is a fundamental value that shapes our workplace culture. We celebrate diversity and strive to create an environment where every employee flourishes because of their unique perspectives.Be part of a pioneering journey with Extreme! As a global networking leader, now is the perfect time to join our dynamic team.Position: Senior Machine Learning Engineer - Generative AI, Machine Learning, Graph ML, Big DataExperience: 5 to 14 YearsWork arrangement: Hybrid/RemoteOur AI Core group is revolutionizing platforms and solutions for Generative AI, which include AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These advancements are integral to our flagship Extreme products and are paving the way for new offerings. Together, we are transforming how organizations manage networks through the development of intelligent, high-performance multi-agent systems that can perceive, learn, and respond in real-time. At Extreme, innovation is not just encouraged; it is an expectation. Join us in shaping the future of network intelligence.

Join our dynamic team at Jobs for Humanity as a Machine Learning Manager. In this pivotal role, you will lead the development and implementation of innovative machine learning solutions that drive our mission of inclusivity and accessibility in the workforce. You will collaborate with cross-functional teams to leverage data, enhance decision-making processes, and ultimately improve the lives of individuals seeking employment opportunities.

At Extreme Networks, we serve over 50,000 customers worldwide with our cutting-edge, cloud-driven networking solutions. Our clients rely on our award-winning services and exceptional support to propel their digital transformation initiatives, achieving remarkable advancements in their operations. With consistent double-digit growth each year, we are uniquely positioned to deliver scalable results.We prioritize inclusion as one of our core values, fostering a workplace that embraces diversity and cultivates an environment where every employee can thrive. Join us and be part of a team that values your unique contributions!Take the opportunity to be a part of something monumental at Extreme! As a global leader in networking, now is the perfect time to join our innovative team.Position: AI Staff Machine Learning Engineer - Generative AI, Machine Learning, Graph ML, Big DataExperience: 5 to 14 YearsWork Arrangement: Hybrid/RemoteOur AI Core group is at the forefront of developing platforms and solutions centered around Generative AI, including AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning Large Language Models (LLM). These innovations drive our flagship Extreme products while paving the way for entirely new offerings. We are committed to transforming how businesses manage networks by creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time. At Extreme, innovation is not just welcomed; it is expected. Join us to help shape the future of network intelligence!

About the OpportunityJoin a leading global networking organization that is revolutionizing the way businesses manage their networks. Our AI Core group is pioneering innovative platforms in Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning, all of which are integral to our flagship products and the creation of new offerings. Here, innovation is not just welcomed; it's a fundamental expectation.The RoleAs an AI ML Engineer, you will serve as a pivotal technical leader and thought leader, influencing our ML strategy and developing intelligent, high-performance multi-agent systems that can perceive, learn, and react in real time.Your ResponsibilitiesDefine and guide the technical vision for ML solutions across our products and platforms.Oversee the complete software development lifecycle, from design and code reviews to deployment and operational management.Design high-performance, scalable microservices, including both synchronous and asynchronous web services.Create real-time inference pipelines for complex models utilizing Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a robust team culture.Promote engineering excellence, system resilience, and ongoing operational enhancements.

About the RoleJoin our dynamic team at Bonsai Robotics as a Senior MLOps Engineer, where you'll play a pivotal role in shaping the future of robotics. We seek an innovative engineer who excels in real-world environments and can oversee the complete machine learning lifecycle—from data ingestion and labeling to training, evaluation, and performance monitoring. Your contributions will support a sophisticated perception stack that includes 2D/3D object detection, semantic and instance segmentation, depth estimation, and multi-sensor fusion utilizing both camera and lidar technologies.This position is highly collaborative; you will work closely with perception engineers, autonomy specialists, field operations, and external labeling teams. Your work will be fast-paced, impactful, and will influence every vehicle deployed in the field.