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Experience Level
Mid to Senior
Qualifications
Minimum RequirementsBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. Proficiency in Python and key ML libraries (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch). Familiarity with embeddings, transformer models, and contemporary ML workflows. Experience in data preprocessing, feature engineering, and evaluating metrics. Strong analytical, problem-solving, and teamwork skills. Preferred QualificationsHands-on experience with training or fine-tuning transformer or embedding models. Knowledge of model tracking and version control (Git, MLFlow, Jupyter). Experience with scalable ML systems and data infrastructure.
About the job
Join Cinarra as an AI/ML Engineer and play a pivotal role in our AI team, focusing on model development and training. In this dynamic position, you'll actively engage in building, training, and enhancing machine learning models, while preparing and curating large datasets. Your contributions will significantly impact model accuracy, performance, and scalability. You will leverage modern machine learning techniques, including transformer-based and representation learning models, collaborating closely with engineers, data scientists, and product partners.
Key Responsibilities
Design, train, and assess machine learning and deep learning models.
Prepare and preprocess substantial datasets for model training and inference.
Implement and refine model architectures for effective data linking and representation learning.
Work alongside engineering and product teams to seamlessly integrate models into production environments.
Evaluate model performance and provide insightful recommendations for enhancements.
About Cinarra
Cinarra is a forward-thinking, data-centric company leading the way in Adtech and ID mapping solutions. We harness state-of-the-art technology and AI to convert data into actionable insights, shaping the future of digital advertising and identity management. Cinarra is a wholly owned subsidiary of SoftBank.
Full-time|On-site|San Jose, California, United States
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…
Full-time|Hybrid|San Jose, California, United States
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.
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
Full-time|On-site|San Jose, California, United States
Generative AI/ML EngineerAbout the Role:We are on the lookout for a dynamic and innovative Generative AI/ML Engineer to join our forward-thinking team at Hudson Manpower. The ideal candidate will possess a strong passion for artificial intelligence, natural language processing, and large language models (LLMs). You will play a pivotal role in designing, developing, and deploying GenAI-driven solutions that revolutionize business processes and enhance efficiency.In this role, you will work collaboratively with data scientists, engineers, and product teams to transform visionary AI concepts into reality, utilizing platforms such as OpenAI, Anthropic, Google Vertex AI, and others.Experience Required: 1 to 4 yearsKey Responsibilities:Design and develop applications and workflows utilizing Generative AI and Large Language Models (LLMs).Optimize and fine-tune pre-trained models to address specific business requirements and enhance performance.Collaborate across teams to identify and leverage opportunities for AI-driven innovation.Develop prompt engineering strategies to maximize model outputs.Conduct research and prototype innovative approaches in text, image, and multimodal generation.Implement scalable GenAI solutions using APIs and cloud platforms (AWS, Azure, GCP).Assess and monitor AI model accuracy, bias, and performance metrics.Stay abreast of the latest trends in GenAI, NLP, and machine learning technologies.
Join Cinarra as an AI/ML Engineer and play a pivotal role in our AI team, focusing on model development and training. In this dynamic position, you'll actively engage in building, training, and enhancing machine learning models, while preparing and curating large datasets. Your contributions will significantly impact model accuracy, performance, and scalability. You will leverage modern machine learning techniques, including transformer-based and representation learning models, collaborating closely with engineers, data scientists, and product partners.Key ResponsibilitiesDesign, train, and assess machine learning and deep learning models.Prepare and preprocess substantial datasets for model training and inference.Implement and refine model architectures for effective data linking and representation learning.Work alongside engineering and product teams to seamlessly integrate models into production environments.Evaluate model performance and provide insightful recommendations for enhancements.
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.
Full-time|$154K/yr - $220K/yr|Hybrid|San Jose, California, USA
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.
Company Overview:TENEX is a pioneering provider of Managed Detection and Response (MDR) solutions, driven by artificial intelligence and automation. We empower organizations to bolster their cybersecurity defenses through cutting-edge threat detection and swift response capabilities. Our team comprises seasoned professionals with extensive backgrounds in cybersecurity, automation, and AI technologies. Supported by prominent investors, we are on a rapid growth trajectory and are looking for exceptional talent to join us in transforming the MDR landscape.As the Director of AI/ML Software Engineering, you will serve as a key technical leader, responsible for shaping our technical vision and managing multiple engineering teams. You will drive the development of scalable, high-performance AI systems that underpin our advanced cybersecurity solutions. Your role will be critical in defining the architecture and ensuring our product strategy aligns seamlessly with our technical objectives.Collaboration with product and design teams will be essential, as you will make pivotal technical decisions and steer the evolution of our platform. This is a remarkable opportunity to tackle complex engineering challenges in security, AI, and distributed systems, all while advancing your career in a leadership capacity as our company expands.Location: This position requires onsite work from Monday to Thursday at our San Jose, CA, Sarasota, FL, or Kansas City, MO office, with remote work available on Fridays.
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.
Full-time|$161.9K/yr - $194.2K/yr|On-site|San Jose, California, United States
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.
Astera Labs (NASDAQ: ALAB) develops rack-scale AI infrastructure, offering advanced connectivity solutions for data centers and AI applications. The company partners with hyperscalers and industry leaders to enable organizations to maximize the potential of modern AI technologies. Its Intelligent Connectivity Platform brings together CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor technologies, integrated with the COSMOS software suite, to support diverse connectivity needs. Astera Labs also delivers custom solutions alongside its standards-based portfolio, helping clients build architectures suited to their specific requirements. More details can be found at www.asteralabs.com. Role overview This AI/ML Intern for Silicon Development Automation role is based in San Jose, CA. The internship centers on developing AI-driven workflows that accelerate silicon chip design. The work involves using generative AI and deep learning to enhance Electronic Design Automation (EDA) processes, with a particular emphasis on frontend design and verification. What you will do Support the creation of AI-powered automation for silicon development, including circuit design, verification, and debugging tasks. Assist in integrating EDA tools with large language model (LLM) capabilities.
Full-time|$135K/yr - $185K/yr|On-site|San Jose, California
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.
About Hark Hark is at the forefront of artificial intelligence, dedicated to creating sophisticated, personalized intelligence systems. Our technology is proactive, multimodal, and designed to interact seamlessly with the world through speech, text, vision, and persistent memory. We are revolutionizing the AI landscape by integrating this intelligence with cutting-edge hardware, establishing a universal interface between humans and machines. Unlike traditional AI, which relies on outdated chat interfaces and devices, Hark is pioneering the future: agentic systems that communicate naturally with individuals and their environments. To achieve this vision, we are collaboratively developing multimodal models alongside next-generation AI hardware, engineered from inception as a cohesive interface for the new era of intelligent systems. About the Role We are seeking a Mid-Level Technical Staff Member specializing in AI training to spearhead the development of innovative training strategies that effectively connect pre-training and post-training phases. This role is crucial in shaping how our models gain advanced reasoning, planning, and tool-utilization skills at scale. You will be instrumental in the core of model capability development, determining how data, algorithms, and systems converge to unlock the next level of agent behavior. Responsibilities Design and implement mid-training strategies to enhance agent capabilities such as reasoning, planning, tool usage, and long-term decision-making. Scale synthetic data generation pipelines (e.g., coding, agent trajectories, multimodal data) and optimize data mixtures to boost downstream reinforcement learning performance. Construct and optimize distributed training pipelines for large models, ensuring efficiency, stability, and scalability across GPU clusters. Develop and refine evaluation frameworks to assess model capabilities (e.g., task success, reasoning quality, tool usage accuracy) and guide training refinements. Conduct comprehensive experimentation and ablations to clarify training dynamics, scaling behavior, and identify bottlenecks. Collaborate across functions with pre-training, post-training, and product teams to synchronize model development with practical agent applications. Lead technical innovations in areas such as long-context learning, data distillation, and training efficiency, contributing to the overall model roadmap.
Full-time|On-site|San Jose, California, United States
Join OKX as a Staff AI Engineer specializing in Model Post-Training and Alignment. In this pivotal role, you will lead initiatives that enhance the performance and alignment of AI models. You will work with cutting-edge technologies and collaborate with cross-functional teams to drive innovation in AI solutions.
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...
About HarkHark is at the forefront of artificial intelligence, dedicated to crafting sophisticated, personalized intelligence systems. Our innovative approach merges proactive, multimodal capabilities, enabling interaction through speech, text, vision, and enduring memory.We are revolutionizing the interface between humans and machines by integrating our intelligence with cutting-edge hardware. While traditional AI applications are limited to chat boxes and outdated devices, Hark is pioneering the next generation of agentic systems that communicate seamlessly with people and their environments.Our mission involves the development of multimodal models and next-generation AI hardware, all designed from the ground up as a cohesive interface for a new era of intelligent systems.About the RoleAs the Lead Data Engineer, you will establish the data infrastructure that transforms raw signals into the training datasets essential for Hark's models. You will be responsible for building and maintaining the pipelines that ensure a smooth flow of data at scale.This role encompasses the entire data engineering stack: from ingestion and transformation to quality filtering and delivery to training and evaluation systems. The efficacy of the models we deploy is directly linked to the quality of the underlying data, and this position is pivotal in owning that foundational aspect.This high-responsibility role requires collaboration with a small, agile team. You will work closely with model researchers, data collection leads, and infrastructure engineers, where the systems you design will significantly influence the quality and speed of model development.
Full-time|On-site|San Jose, California, United States
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.
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.
Full-time|$250K/yr - $350K/yr|On-site|San Jose, CA
Company OverviewTENEX is a cutting-edge, AI-driven Managed Detection and Response (MDR) provider, dedicated to enhancing the cybersecurity frameworks of organizations through superior threat detection, swift response mechanisms, and ongoing protection strategies. Our team consists of seasoned professionals with extensive backgrounds in cybersecurity, automation, and artificial intelligence solutions. Supported by prominent investors, we are in a phase of rapid expansion and are on the lookout for exceptional talent to help us transform the MDR landscape.In your role as a Staff AI Solutions Architect at TENEX, you will serve as a pivotal technical leader responsible for the comprehensive design, implementation, and deployment of AI and machine learning solutions that underpin our core MDR offerings. Your expertise will be essential in translating intricate cybersecurity issues, threat intelligence, and product vision into robust, scalable, and production-ready AI architectures. This position acts as a crucial link between our Data Science, Product, and Engineering teams, ensuring our AI models achieve optimal impact and operational efficiency for our security analysts and clients.At TENEX, our culture is paramount—explore our culture deck at culture.tenex.ai to discover how we promote an environment of collaboration and community in our in-person work while providing the flexibility that top talent deserves.Location: This position requires onsite attendance 4 days a week at our San Jose, CA; Kansas City, MO; or Sarasota, FL locations.
Join Our Team as a Data Engineer!Location: San Jose, CAContract Duration: 3+ months (with potential for extension)We are seeking a talented Data Engineer with extensive experience in Big Data technologies. The ideal candidate will have over 8 years of proficiency in Java, Python, and Scala, along with hands-on experience in Spark and Machine Learning. You will play a crucial role in data mining and analysis, transforming unstructured data into actionable insights.Key Responsibilities:Gather and process large-scale raw data through scripting, web scraping, API calls, and SQL queries.Collaborate with the engineering team to design and implement algorithms for data processing.Convert unstructured data into formats suitable for analysis and conduct thorough analyses.Support business decisions with ad hoc analyses as necessary.Extract and manipulate data from various relational databases using quantitative and visualization tools.Guide the selection of appropriate modeling techniques to develop robust predictive models.Establish processes for validating and updating predictive models regularly.Analyze healthcare service utilization patterns to model outcomes and scenarios for innovative healthcare delivery models.Work closely with internal teams to enhance the applicability of predictive models within core software products.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic data analyses to meet business objectives.Explore data to uncover opportunities for enhanced business performance.Develop a deep understanding of business processes and strategies to provide insightful analysis to management.
