Machine Learning Engineer Radar Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description At Micron-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing; construction began in early 2023, with DRAM production slated for the second half of the decade. As a leader in the semiconductor industry, we build solutions that encourage and transform technology. With plans to invest more than $150 billion globally over the next decade in groundbreaking manufacturing, we are looking for hardworking people to join our Boise expansion team and give to the growth and innovation of the semiconductor industry. ID1 High Volume Manufacturing Equipment Engineer is responsible for monitoring, sustaining, and improving the equipment while working in partnership with process team members and area engineers. In this position you will supervise tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to solve and repair equipment issues. They are also required to assist with equipment installations, engineering tests, build and modify equipment procedures, increase tool uptime through systematic problem solving and quality workmanship, and thoroughly document all maintenance. This is a hands-on equipment focused role with time spent in the fabrication facility. </sp

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron-Boise, ID, we are undergoing a historic $15 billion investment in semiconductor manufacturing; construction began in early 2023, with DRAM production slated for the second half of the decade. As a leader in the semiconductor industry, we build solutions that encourage and transform technology. With plans to invest more than $150 billion globally over the next decade in groundbreaking manufacturing, we are looking for hardworking people to join our Boise expansion team and give to the growth and innovation of the semiconductor industry. ID1 High Volume Manufacturing Equipment Engineer is responsible for monitoring, sustaining, and improving the equipment while working in partnership with process team members and area engineers. In this position you will supervise tool performance, schedule and perform preventative maintenance on assigned tool sets, and use mechanical, electronic and PC/software skills to solve and repair equipment issues. They are also required to assist with equipment installations, engineering tests, build and modify equipment procedures, increase tool uptime through systematic problem solving and quality workmanship, and thoroughly document all maintenance. This is a hands-on equipment focused role with time spent in the fabrication facility. Responsibilities: Safely identify, handle, and work with chemicals and associated hazards in the work area. Recognize and respond appropriately to safety alarms and events, including EES, fire alarms, MDA, and ERT notifications. <l

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Overview The Probe Equipment Engineering team is responsible for ensuring the performance, reliability, and continuous improvement of probe manufacturing equipment within Micron's semiconductor operations. The team partners closely with Manufacturing, Process Integration, Facilities, Quality, and Supplier Engineering organizations to support world-class operational excellence, equipment availability, and product quality while enabling advanced technology node development. Position Overview As a Probe Equipment Engineer at Micron Technology in Boise, Idaho, you will coordinate the installation, modification, upgrade, qualification, and advanced maintenance of manufacturing equipment. You will collaborate with cross-functional teams to increase tool availability, optimize equipment performance, and ensure manufacturing outputs meet or exceed quality standards. In this role, you will leverage data analytics, automation, AI, and machine learning technologies to improve equipment reliability, accelerate problem-solving, and drive manufacturing efficiency. Your work will help enable smarter factory operations and support Micron's continued advancement of AI-driven semiconductor manufacturing capabilities. Responsibilities Drive improvements in equipment availability, relia

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role At HP IQ, our Cloud Services team builds the cloud foundation that supports and extends our innovative hardware products. We develop integrated cloud-based solutions that enhance functionality, improve performance, and deliver seamless user experiences across devices. By working closely with our engineering, machine learning, and infrastructure teams, we ensure every component operates together as a cohesive system. Through this collaboration, we power next-generation AI-driven devices—creating smarter, more connected, and highly reliable products for our users. What You Might Do Collaborate with cross-functional teams including hardware, AI, and platform engineering to develop, test, and operate integrated cloud services. Contribute to projects involving AI assistants, conference room devices, and more. Work independently and collaboratively to solve complex problems and deliver high-quality software. Communicate effectively across teams to ensure alignment and successful project delivery. Essential Qualifications: Currently pursuing a Master's or PhD degree in Computer Science or re

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Staff Product Security Engineer Opportunity As a Staff Product Security Engineer, you will play a critical role in safeguarding Okta’s products by conducting comprehensive security reviews, guiding engineering teams in secure development practices, and handling externally reported vulnerabilities. You will engage in code reviews, penetration testing, and architectural security assessments to ensure the security of Okta’s platforms and features. This role is not suited for individuals who rely solely on automated vulnerability scanning. Instead, you must possess a deep technical understanding of web applications, backend services, penetration testing methodologies, and secure design principles. A successful candidate will have expertise in authentication protocols (SAML, OAuth, OIDC), threat modeling, and a strong desire to automate security processes by building tools that proactively identify vulnerabilities. You will also be responsible for communicating risks, impact, and remediation strategies to developers, leadership, and external audiences through documentation, presentations, and external publications. The ideal candidate will also demonstrate a deep technical background in assessing AI-integrated software architectures and securing Large Language Models (LLMs) against emerging threats and modern vulnerability classes. The ideal candidate will have an attacker mindset—the ability to think critically, creatively, and like an adversary when solvin

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are looking for a detail-oriented and responsible AIoT Engineer with curiosity and innovative thinking in AI technologies. This role will focus on factory utility equipment maintenance scenarios, responsible for designing and implementing enterprise-level AI model management processes, from requirement analysis to deployment, building sustainable smart maintenance solutions that help facility engineers improve equipment reliability, reduce energy consumption, and prevent anomalies. Responsibilities Collaborate with cross-functional teams to transform data science outcomes into practical intelligent services. Design and train machine learning/deep learning models, ensuring performance and interpretability. Develop model service APIs to support system integration and real-time applications. Introduce and establish model management and deployment processes (MLOps) to ensure stable operation and regular updates. Stay updated with the latest AI technologies, write technical documentation, and promote internal knowledge sharing. Key Qualifications Master’s degree or above in Computer Science, Statistics, Electrical Engineering, Mechanical Engineering, Artificial Intelligence, or related fields. At least 2 years of experience in data science or machine learning. Skilled in Python and ML/DL frameworks (scikit-learn, PyTorch, or TensorFlow). Experience

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our vision is to accelerate intelligence to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Capital Engineer serves as a key contributor to Global FE Capital Management by driving process governance, continuous improvement, and digital transformation initiatives. The role focuses on strengthening capital planning and management processes, ensuring compliance and operational excellence, implementing AI and automation solutions, and delivering actionable insights through analytics and performance reporting. Working closely with Site Planning teams, Finance, Procurement, Facilities, and digital stakeholders, the engineer will lead cross-functional initiatives that improve efficiency, standardization, productivity, and business outcomes across the capital organization. Roles and Responsibilities 1. Capital Process Governance & Compliance Drive governance and compliance for Global Frontend (FE) capital management processes. Establish, document and maintain process standards, business rules, controls, and operating procedures.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions Deliver scalable, reliable

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides. Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities. This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions. This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately. We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions. Responsibilities: Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders. Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams. Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions Deliver scalable, reliable

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Test Engineering Project Title AI-Enabled Predictive Analytics for SSD Test Equipment Health Monitoring Project Description Objective of the Project Develop a data-driven equipment monitoring framework that leverages engineering data and AI-enabled analytics to identify early indicators of equipment degradation, optimize maintenance strategies, and improve SSD test equipment reliability in a high-volume semiconductor manufacturing environment. The intern will gain hands-on exposure to semiconductor manufacturing, equipment engineering, data analytics, automation, and AI-enabled engineering workflows while working on real-world manufacturing challenges. Project Scope Learning Opportunities Understand SSD test manufacturing processes and semiconductor production environments. Learn the architecture and operation of automated SSD test equipment platforms. Gain experience in equipment reliability engineering and predictive maintenance methodologies. Develop skills in data extraction, cleansing, analysis, and visualization using engineering datasets. Ap

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are looking for a Solution Engineer who is accustomed to solving customers’ most complex problems, closing large deals, and positioning organizations to enable Analytics and AI adoption quickly and easily. In this role, you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, product fit conversations, and support enterprise Proof of Concepts. As a Snowflake Solution Engineer, you must share our passion for reinventing the data landscape. You should have a proven track record of helping customers modernize their data stack to unlock Analytics/AI/ML capabilities. You are equally comfortable in both a business and technical context, interacting with executives about Data, Analytics & AI strategies and "talking shop" with technical audiences about implementation. Location: Must be located in or near Bogota, Colombia IN THIS ROLE YOU WILL GET TO: Present Snowflake technology and vision to executives and technical contributors, specifically focusing on how Snowflake serves as the engine for rapid AI innovation. Work hands-on with prospects to demonstrate the value of Snowflake throughout the sales cycle, moving them from initi

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Solution Engineer: Accelerate the AI Data Cloud We are looking for a Solution Engineer who is accustomed to solving customer’s most complex problems and closing large deals. In this role you will work directly with the accounts sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. As a Snowflake Solution Engineer you must share our passion about driving the AI Data Cloud adoption, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences and bridging the gap between audiences when needed. YOUR IMPACT (IN THIS ROLE YOU WILL GET TO): Present Snowflake technology and vision, focusing on the AI Data Cloud and its capabilities, to executives and technical contributors at prospects and customers. Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation. Immerse yourself in the

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an Engineer in the TDT (TD Taiwan) Device Team, you will drive DRAM device development projects supporting technology roadmap enablement, model delivery, performance optimization, reliability improvement, and technology transfer. You will collaborate closely with Technology Development organizations worldwide to advance next-generation CELL technologies from concept development through high-volume manufacturing. This role requires strong expertise in semiconductor device physics, process integration, electrical characterization, and data-driven problem solving. The successful candidate will provide technical leadership across multidisciplinary teams and leverage advanced analytics, AI-assisted engineering methodologies, and automation tools to accelerate technology development, root-cause analysis, and decision-making. This role requires strong expertise in semiconductor device physics, process integration, electrical characterization, and data-driven problem solving. The successful candidate will provide technical leadership across multidisciplinary teams and leverage advanced analytics, AI-assisted engineering methodologies, and automation tools to accelerate technology development, root-cause analysis, and decision-making. Key Responsibilities Drive DRAM CELL device development projects supporting future technology roadmap requirements. Lead electrical characterization, margin assessment, performance optimization, and reliability improvement activities.</p

Job Title: ML Annotation QA Engineer About Us Are you ready to build the future of supply chain? At Gather AI, we’re not just creating software, we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team Our engineering organization spans autonomy, computer vision and machine learning, embedded and hardware systems, full-stack, and cloud, all working in parallel across multiple active product lines tied to live customer deployments. It’s a technically deep, fast-moving team where individual contributors carry real accountability and the work shows up directly in customer operations. Ground truth quality sits at the centre of that — the annotated data this role owns is what our models are trained and measured against. About the Role We are looking for an ML Annotation QA Engineer to own the quality of annotated data across our computer vision and machine learning programs. This role is responsible for the judgment-heavy analysis that cannot be reliably outsourced, for the decision rules behind it, and for turning annotation output into an ongoing read on how our systems are actually performing in the field. We work with an external annotation partner at production volume, and that continues. What we need in house is someone who can analyse the annotated data, make and defend the calls the v

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads. EXAMPLE INITIATIVES Recent and upcoming work in this area: Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials Agent credentials that grant an agent exactly the access it needs for the gi