13 lead machine learning engineer jobs found in San Jose, CA

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a...

Company Description Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Description Your Career Palo Alto Networks® SaaS Security team is looking for a seasoned and accomplished Senior Software Engineer to help scale out our security platform with a sharp focus on platform and infrastructure...

Job Description To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Location s * * (in priority order): Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the...

Job Description To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Location s * * (in priority order): Sunnyvale, California Mountain View, California Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the office up to three times per week or as determined by the team. About the Role: As a Simulation Test Engineering AI/ML Software Engineer intern, you'll partner with senior engineers to develop, evaluate, and deploy AI/ML tools to scale the development of end-to-end simulation tests, which are used by GM for validation of the autonomous driving software stack. You'll learn about how simulation testing is performed at GM to evaluate AV stack performance, and your work will play a critical role in managing the creation and quality of these simulation tests throughout their lifecycle. About the...

Job Description GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.) To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from. Work Arrangement: Hybrid: This internship is categorized as hybrid. The selected intern is expected to report to the Mountain View, CA or Sunnyvale, CA office up to three times per week or as determined by the team. Locations: Mt. View, California Sunnyvale, California About the Team: The Autonomous Vehicle (AV) organization is dedicated to advancing the development of autonomous...

Zoox is developing state of the art autonomous vehicle software for our purpose built vehicle. We believe that developing the end to end product will result in a superior customer experience. The Robot Data Visualization team is looking for a Staff Software Engineer to join the team behind one of the most critical internal tools at Zoox - a powerful, web-based application used to visualize and analyze data from our autonomous vehicles. Our tool helps engineers dive deep into how the vehicle perceives, plans, and acts in the world, and it's used across nearly every discipline at Zoox. As a Staff Engineer, you’ll lead technical direction, drive performance and scalability improvements, and help shape the future of how we debug and understand autonomous systems. In this role, you will: Lead architectural decisions and implementation of new features in a high-impact, data-heavy web application Build rich, real-time visualizations including 3D scenes, maps, video streams,...

The Perception team at Zoox creates the "eyes and ears" of our self-driving robots. Navigating safely and efficiently in complex environments requires detecting, classifying, tracking, and understanding various attributes of surrounding objects—all in real-time and with exceptional accuracy. As an engineer in the Scene Understanding team, you will develop advanced ML models that perceive our vehicle's surroundings to identify hazards and driving restrictions. You will utilize vision-language models for detecting rare events and ensuring safe driving in these situations. You'll work with state-of-the-art machine learning models that operate in real-time on our robotaxi platform with minimal latency. Collaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. In this role, you will: Design and implement...

The Embedded Software Engineer team at Zoox collaborates with other firmware, hardware, software, systems, and safety teams across Zoox to build complex systems designed for challenging automotive environments. Together with the team, you will define the firmware architecture of our embedded systems and work with our cross-functional partners to drive the development of our next-generation robot. We are seeking a firmware engineer who is excited to work across our entire stack, loves learning new things, and enjoys taking ownership of major components. If you enjoy driving the design and development of new complex cross-functional features, we would like to hear from you. In this role, you will: Lead a small team of engineers, setting direction for the team, generating short-term and long-term roadmaps, and fostering both technical and professional growth Use your leadership skills to collaborate with our cross-functional partners both within and outside of firmware,...

The Autonomy Behaviors team is responsible for producing our vehicle’s driving trajectory. As a Principal ML Engineer, you will lead the technical development of machine learning algorithms for our next-generation ML Planner. Your impact will range from delivering innovations for immediate milestones to pioneering exploratory projects. You will collaborate closely with teams specializing in Foundation Models, Perception, Simulation, and Safety Validation, in influencing our autonomy stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. In this role, you will: Set the technical direction of ML development for the future of our Planner Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner Identify and drive force-multipliers for ML development,...

Summary: Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply. Required Skills: Software Engineer, Product Responsibilities: Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences Implement custom user interfaces using latest programming techniques and technologies...

Who We Are Are you a proven software engineer ready to lead complex technical initiatives and become a subject matter expert in the intersection of Salesforce, AI, and enterprise automation? Join our high-performing Marketing Applications team and play a critical role in designing and delivering the next generation of intelligent, scalable applications that drive core business success across Protiviti. As a Software Engineer II, you will independently design and implement solutions that power large-scale marketing operations, optimize critical business processes, and embed deep AI-driven insights across the organization. You will leverage your expertise within the Salesforce platform and expand our ecosystem by designing and building robust integrations, advanced web applications, and scalable cloud-based services. You will mentor junior engineers, set technical standards, and collaborate closely with product management and business stakeholders to translate strategic...

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll do: Summary: At SAP, we amplify the strength of AI technology, fusing it with our robust industry-focused data and profound process knowledge. Our vision is to infuse every SAP application with sophisticated AI capabilities, revolutionizing the way businesses operate. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. Our goal is to...

Zoox is on a mission to reimagine transportation and ground-up build autonomous robotaxis that are safe, reliable, clean, and enjoyable for everyone. We are still in the early stages of deploying our robotaxis on public roads, and it is a great time to join Zoox and have a significant impact in executing this mission. The ML Platform team at Zoox plays a crucial role in enabling innovations in ML and CV to make autonomous driving as seamless as possible. The Opportunity Would you like to be part of the ML Training and Inference Infrastructure team that enables autonomous driving and several other ML use cases at Zoox? You will get to work across all ML teams within Zoox - Perception, Prediction, Planner, Simulation, Data Science, Collision Avoidance, etc. and our Advanced Hardware Engineering group and have the opportunity to significantly push the boundaries of how ML is practiced within Zoox. We build and operate the base layer of ML tools, deep learning...