Machine Learning Engineer at Aizen | San Jose

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 Aizen as a Backend Software Engineer!At Aizen, we are dedicated to simplifying and amplifying the power of artificial intelligence. Our comprehensive platform effectively manages the entire AI workflow—from data ingestion and orchestration to model training, deployment, and monitoring—allowing businesses to concentrate on what truly matters: developing and scaling exceptional AI solutions without unnecessary complications.We established Aizen out of frustration with cumbersome AI processes and fragmented solutions that obstruct AI implementation. Today, we empower a diverse range of clients—from innovative startups to Fortune 500 giants—to effortlessly scale their AI capabilities. By transforming how AI is created, deployed, and overseen, we are making AI more accessible and impactful than ever. If you are passionate about designing innovative technology, addressing real-world challenges, and collaborating with a top-tier engineering team, we would be thrilled to connect with you.About Our TeamAizen's founders are a group of seasoned entrepreneurs with extensive backgrounds in data storage, distributed systems, and real-time AI architecture. With a proven track record of building and scaling technology companies—some of which achieved successful exits over $1 billion—our team possesses the insight necessary to develop a leading product and organization. We have carefully crafted Aizen to streamline the AI pipeline, enhance performance, and make AI genuinely accessible to enterprises of all sizes.Your RoleAs a Backend Engineer at Aizen, you will play a pivotal role in constructing and optimizing the infrastructure that drives our all-encompassing AI platform. You will design scalable backend services, APIs, and data processing pipelines that facilitate smooth AI deployment and real-time inference. Whether you are a junior engineer eager to learn or a seasoned professional ready to design high-performance distributed systems, this role presents an exciting opportunity to work on cutting-edge AI infrastructure, enhance backend efficiencies, and shape the future of enterprise AI.Key ResponsibilitiesBackend & API Development – Create and refine scalable backend services and high-performance APIs to support real-time AI applications, model inference, and data orchestration.Data Processing & Infrastructure – Develop and enhance large-scale data pipelines, ETL processes, and storage solutions, ensuring seamless integration between AI workflows and backend systems.System Performance & Reliability – Establish monitoring, logging, and incident response frameworks to maintain high availability and performance standards across systems.

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

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.

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 Aizen as Our Principal Product DesignerAt Aizen, we are dedicated to simplifying the complexities of artificial intelligence while enhancing its capabilities. Our comprehensive platform effectively streamlines the AI pipeline—encompassing data ingestion, orchestration, model training, deployment, and monitoring—empowering businesses to concentrate on what truly matters: creating and scaling exceptional AI solutions without hassle.We embarked on this journey to eliminate cumbersome AI workflows and fragmented solutions that obstruct AI adoption. Today, our platform is trusted by businesses ranging from dynamic startups to established Fortune 500 corporations, enabling them to effortlessly scale their AI operations. By transforming the way AI is developed, deployed, and managed, we are making AI more accessible and impactful than ever. If you’re passionate about building innovative technology, tackling real-world challenges, and collaborating with a world-class engineering team, we would love to connect with you.About Our TeamFounded by a group of serial entrepreneurs with extensive experience in data storage, distributed systems, and real-time AI architecture, Aizen's team has successfully built and scaled technology companies, some of which have led to notable $1B+ exits. We have designed Aizen from the ground up to simplify the AI pipeline, enhance performance, and make AI genuinely accessible for enterprises of all sizes.Role OverviewWe are seeking a talented Principal Product Designer to spearhead our design initiatives at Aizen. In this individual contributor role, you will champion the design vision for our platform, collaborating closely with a skilled team of engineers to create intuitive, aesthetically pleasing user experiences. Your contributions will lay the groundwork for our design system and be crucial in transforming intricate AI workflows into streamlined, user-friendly interfaces.This position offers a unique opportunity to influence product development from the ground up at an early-stage startup, allowing you to make a significant impact on our team, products, and design culture—shaping the aesthetic and functional aspects of AI-powered tools for enterprises globally.Key ResponsibilitiesEstablish and Implement the Design Vision – Define and execute a comprehensive design strategy for the Aizen platform, ensuring a seamless, intuitive, and visually engaging user experience.Develop and Manage the Design System – Create a scalable design system from scratch to ensure consistency, efficiency, and a robust design foundation throughout the product.Collaborate with Cross-Functional Teams – Work alongside product managers, engineers, and stakeholders to deliver user-centric solutions.Conduct User Research and Testing – Gather user feedback to inform design decisions and refine user experiences.

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.

Join AppZen, the frontrunner in autonomous spend-to-pay software, as we redefine how organizations manage their finances. Our patented artificial intelligence processes a multitude of data sources, enabling businesses to gain invaluable insights into enterprise spending. By integrating with existing accounts payable, expense, and card workflows, we facilitate real-time decision-making tailored to individual spending profiles, resulting in faster processing and reduced fraud. Trusted by global enterprises, including a third of the Fortune 500, AppZen is transforming manual finance practices, enhancing speed and agility in business. At AppZen, we seek innovative candidates who harness AI tools to boost productivity and automate repetitive tasks. We value team members who apply AI in impactful ways, enhancing their work processes. As an AI Engineer, you will play a crucial role in developing and scaling our next-generation AI platform with an emphasis on agentic systems. You will design and construct intelligent agents powered by large language models (LLMs), utilizing tool calling, orchestration frameworks, and advanced context management to enable reasoning, planning, and autonomous decision-making within complex workflows. Engage with modern agentic stacks (such as LangGraph and Autogen), asynchronous and streaming architectures, and production-grade observability to create scalable, real-world AI solutions. If you're passionate about advancing the field of agentic AI and building reliable production systems, AppZen offers a dynamic environment to achieve these goals.

Teamwork makes the stream work. Join Roku in Revolutionizing TV ViewingAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to power every television globally. We have pioneered the streaming revolution by connecting consumers with their favorite content, enabling publishers to grow their audiences, and offering advertisers unique opportunities to engage viewers.At Roku, your contributions are valued from day one. As a rapidly growing public company, we empower you to delight millions of TV streamers worldwide while gaining experience across various disciplines. About Our TeamRoku has innovated in creating operating systems for TVs. Our TV Technology team, part of the Roku TV NPI group, focuses on delivering the best audio and picture quality while embracing innovative technologies. With millions of TVs sold globally and billions of hours streamed, achieving optimal audio and picture quality is essential. Role OverviewWe seek a creative and dedicated Machine Learning (ML) and Deep Learning (DL) Engineer to join our Roku TV team. In this role, you will investigate enhancements in Picture Quality (PQ) and Audio Quality (AQ) through AI, all within a resource-constrained environment, redefining the boundaries of TV technology. You will implement cutting-edge ML techniques across various PQ and AQ tasks, playing a crucial role in developing scalable systems and algorithms that improve streaming experiences for millions of users globally.For California Only - The estimated annual salary for this position is between $135,000 and $185,000. Compensation packages vary based on individual qualifications, including skills, certifications, and geographical location. Benefits include health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and more.

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 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.

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

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 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.

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.

Join Comtech LLC as a Senior Data Engineer, where you will play a pivotal role in transforming raw data into actionable insights. We are seeking a highly skilled professional with extensive experience in Big Data technologies and programming languages.Key Responsibilities:Collect and process large datasets using various techniques such as scripting, web scraping, API calls, and SQL querying.Collaborate with engineering teams to design and implement algorithms for data integration.Transform unstructured data into structured formats for analysis and perform detailed data analysis.Support strategic business decisions through ad hoc data analysis.Extract and manipulate data from relational databases while utilizing statistical and visualization tools.Guide the selection of modeling techniques to create robust predictive models using stringent statistical methods.Establish processes for the validation and updating of predictive models.Analyze healthcare utilization trends and model potential outcomes for innovative healthcare solutions.Work in tandem with business and analytics partners to enhance the efficiency and applicability of predictive models within our software offerings.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic research to support business objectives.Explore data to identify opportunities for enhancing business performance.Develop a thorough understanding of business processes to provide meaningful analysis to management.Engage in discussions to clarify business needs and necessary analyses.

Job SummaryAs we aim to elevate our capabilities, tessera-labs is in search of a highly skilled AI Agent Engineer. This individual will have a deep understanding of AI agents and the ability to harness both open-source and proprietary Large Language Models (LLMs), integrating them with intricate tool-calling hierarchies and operational frameworks.This role offers the chance to innovate scalable, secure, and impactful AI technologies that will shape the future of enterprise solutions. If you excel in dynamic, high-growth environments and possess a passion for AI, machine learning, and agent development, we encourage you to apply.Key Responsibilities1. AI Agent Development (60%)Design and implement complex multi-step agent pipelines using both open-source and proprietary LLMs.Create tools that facilitate interactions between AI systems and critical enterprise software platforms.Ensure that AI architectures are in line with business goals and adhere to industry best practices.2. ML Development and Optimization (30%)Develop data generation and processing workflows to train and optimize custom ML models.Oversee the training and evaluation processes for LLMs.3. Deployment and AI Systems Infrastructure (10%)Manage AI infrastructure across cloud platforms such as AWS, Azure, or GCP.Deploy inference endpoints and integrate AI and LLM technologies into our core product infrastructure.

About the RoleWe are on the lookout for an experienced Senior Computer Vision Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and enhancing our proprietary Computer Vision and Machine Learning (CVML) algorithms tailored for our advanced robotics systems. A robust understanding of ML modeling, particularly in object detection and segmentation, as well as classical computer vision algorithms and multi-view geometry, is essential. Proficiency in programming languages such as C++ and Python is required to succeed in this position.What You'll DoEngineer, implement, and refine computer vision and machine learning algorithms for robotics applications.Train, evaluate, and deploy tailored ML models on embedded systems.Collaborate with interdisciplinary teams to integrate models and algorithmic technology into our innovative products.Stay abreast of the latest advancements in computer vision and create custom algorithms.Develop and maintain comprehensive code documentation and unit tests.

About EtchedAt Etched, we are pioneering the world's first AI inference system uniquely designed for transformers, achieving over 10x greater performance, along with significantly reduced costs and latency compared to conventional solutions like the B200. Our innovative ASICs enable the creation of groundbreaking products, such as real-time video generation models and highly advanced deep reasoning agents. With substantial backing from premier investors and a team of top engineers, Etched is transforming the infrastructure layer for the fastest growing industry in history.Key ResponsibilitiesDevelop detailed performance models and forecasts for Etched's transformer-centric architecture across various workloads and configurations.Profile and assess deep learning workloads on Etched to detect micro-architectural bottlenecks and potential optimization areas.Create analytical and simulation-driven models to anticipate performance across different architectural setups and design trade-offs.Collaborate with hardware architects to influence micro-architectural decisions based on workload characteristics and performance insights.Facilitate hardware/software co-optimization by pinpointing opportunities where architectural features can substantially enhance performance.Analyze and optimize memory hierarchy efficiency, interconnect utilization, and computational resource effectiveness.Establish performance benchmarking frameworks and methodologies tailored specifically for transformer inference workloads.Performance CharacterizationConstruct detailed roofline models and performance forecasts for Etched across various transformer architectures (e.g., Llama, Mixtral).Profile production inference workloads to identify and mitigate micro-architectural bottlenecks.Evaluate memory bandwidth, compute utilization, and interconnect performance to inform next-gen architecture decisions.Develop performance modeling tools that forecast chip behavior based on different batch sizes, sequence lengths, and model configurations.Characterize the performance implications of architectural features such as specialized datapaths, memory hierarchies, and on-chip interconnects.Benchmark Etched's architectural efficiency against competitive solutions to ensure industry-leading performance.

About EtchedEtched is pioneering the development of the world’s first AI inference system uniquely designed for transformers, achieving over 10x the performance and significantly reduced cost and latency compared to traditional systems like the B200. Our innovative ASIC technology empowers the creation of groundbreaking products, including real-time video generation models and advanced reasoning agents with extensive depth and parallel processing capabilities. Supported by substantial investments from leading venture capitalists and staffed by top-tier engineers, Etched is transforming the infrastructure landscape within one of the fastest-growing industries globally.Job SummaryIn the Supercomputing Internship, you will engage in the design, development, and deployment of machine learning system software essential for the operation of rack-scale systems. Your responsibilities will encompass enhancing network performance, creating telemetry systems, processing data pipelines, and analyzing system-wide health and performance metrics. You will also contribute to the deployment and validation of software frameworks and hardware, ensuring secure and efficient systems capable of handling data center-scale machine learning workloads.