Senior Staff Data And Cloud Platform Engineer Jobs

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. Micron's Global Environmental, Health, Safety and Sustainability (EHSS) team partners across sites and functions to ensure safe, responsible, and compliant operations worldwide. The organization supports Micron's global manufacturing network by developing programs, processes, and systems that enable operational excellence and regulatory compliance. As a Global Chemical Coordinator, you will lead coordination of first-of-a-kind (FOAK) chemical setup processes across Micron's global manufacturing network, ensuring chemical information is complete, accurate, and ready for site review and approval. The Global Chemical Coordinator will verify that required chemical, supplier, quantity, unit-of-measure, regulatory, and EHS information is complete and accurately represented before materials proceed through applicable site review and approval workflows. The role also leverages artificial intelligence (AI), automation, and advanced data analytics to improve chemical data quality, identify compliance risks, accelerate FOAK reviews, enhance regulatory intelligence, and support continuous improvement of chemical management processes. This role is intended to complement and enable existing site Chemical Coordinators and EHS approvers. The Global Chemical Coordinator will not re

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. 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. Department Introduction Micron’s Global Environmental, Health, Safety and Sustainability (EHSS) team partners across sites and functions to ensure responsible, compliant, and sustainable operations worldwide. The Environmental & Chemical Compliance team leads enterprise environmental compliance, chemical management, emerging regulatory readiness, and environmental risk management programs supporting Micron's global manufacturing network. Position Overview As a Senior or Staff Engineer, Global Environmental Technology, you will provide technical leadership and domain expertise for Micron's environmental compliance, emerging contaminant, and environmental technology programs. You will evaluate environmental data, treatment technologies, source characterization information, and evolving regulatory requirements to support data-driven decisions and environmental risk management strategies across global operations. This role also employs artificial intelligence (AI), advanced analytics, and digital technologies to enhance environmental data analysis, accelerate technical evaluations, strengthen regulatory intelligence, and improve environmental compliance outcomes. The position suppo

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. Responsibilities Responsible for both product development and supporting high volume manufacturing of SSD. Support for SSD failure analysis from NPI to HVM stage. Perform manufacturing yield evaluation and data analysis. Perform detailed electrical and physical failure analysis and work with other departments to resolve SSD related issues. Troubleshooting failure from customer return and provide solutions to fix the problems. Requirements: Bachelor or Masters degree in Electrical/Electronic Engineering or Computer engineering. Relevant experience in SSD industry will be an advantage. Relevant experience with computer hardware, knowledge of storage interface such as SATA, SAS will be an advantage. Proficiency in programming languages such as C, C++, Python, Perl and etc. Proficiency in using AI technology (Claude, Copilot) in improving productivity. efficiency and data analysis. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people

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. Job Description Position Summary As an IoT Engineer, Engineer based in Singapore, you will design, build, and deploy Industrial IoT (IIoT) and machine vision solutions to support advanced packaging technology development and factory enablement. You will implement hands-on engineering work from proof-of-concept through deployment and sustainment, contributing to scalable and secure solutions that improve quality, productivity, and early risk detection. You will collaborate cross-functionally to translate manufacturing needs into measurable signals, robust data pipelines, and actionable insights, while operating with a strong safety mentality and a bias for practical, reliable delivery. Key Responsibilities Develop and deploy IIoT solutions end-to-end: sensing strategy, edge compute, connectivity, data ingestion/storage, monitoring, and sustainment (including data quality and traceability). Build machine vision solutions: support hardware selection (cameras/optics/lighting), image acquisition strategy, algorithm development, performance validation, and deployment readiness. Work with process, equipment, automation, quality, and IT/data platfor

About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You’ll be joining the data science team at Stripe responsible for our overall infrastructure, with a special focus on Stripe’s security. Projects include, but are not limited to: Leverage internal telemetry and logs to understand and design secure and safe access controls to sensitive data; Develop methods to model, quantify, and ultimately de-risk security-related incidents on Stripe data, assets, and networks; Collaborate across the company with engineering, PMs, and others to better understand, measure, and ultimately detect various malicious attack vectors. You will act as a key strategic data partner to the Security organization at Stripe, and help craft, guide, and drive the strategy and tactics needed to help ensure Stripe keeps and maintains the highest level of safety and security for critical business assets and customer data. What you'll do Responsibilities Provide senior technical direction to data teams on horizontal technical areas, including detection, modeling, metrics, observability, etc. Assume hands-on leadership, especially when helping teams resolve complex problems through iterative execution. Identify broad company problems and opportunities that can be tackled through data science Work with relevant teams to design and build the quantitative outputs and artifacts that deliver outsized value to our users and our business. Provide data-driven guidance to cross-functional partners on strategy for tracking and p

About the Role The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake. The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse. In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem. Key Responsibilities Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation. Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation. Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows. Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences. Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction. Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams. Drive architectural decision

Machine Learning Engineer – Biometrics (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestra

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. Operations Central Team (OCT) Diffusion/Implant Manufacturing Alignment Senior Engineer/Staff Engineer will drive tool and process optimization, global manufacturing alignment, and preventive maintenance standardization across the Micron network. This role will collaborate with equipment and process engineering teams to improve tool utilization, develop safe shutdown and recovery procedures, deploy equipment and process BKMs, and sustain global standards through systems such as SEAL. The position requires strong technical experience in the Diffusion or Implant area, problem-solving capability, effective cross-functional communication, and the ability to support AI-assisted data analysis and workflow improvement. Take on an outstanding opportunity at Micron, where new ideas meet outstanding quality. As an OCT Diffusion/ Implant MFG Alignment Sr Engineer/ Staff Engineer in Hiroshima, you will maintain and improve our innovative manufacturing systems and methods. Collaborate with a group that shares your passion for detail and your aim to achieve international excellence! Responsibilities: Improve tool utilization to meet world-class standards by refining processes that eliminate underutilized tools and enable cost savings through strategic cold/warm shutdowns. Develop globally aligned warm shutdown procedures that ensure safety and flawless recovery to production. Standardize practices and proven methods (BKMs) across process areas by establishing global alignment tea

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Intermediate Fullstack Engineer - Data Products An overview of this role Data Products integrates GitLab and third-party software development lifecycle data, and builds the dashboards, APIs, and data products that turn it into reliable, interoperable intelligence for customers and internal teams. You'll work across the stack, contributing to frontend experiences, backend services, APIs, and AI-enabled workflows. This is a hands-on product engineering role. You'll develop features, learn how we build and operate large-scale data systems, and work closely with Senior and Staff Engineers to deliver secure, reliable, and performant s

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps. Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS. Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team. What We’re Looking For Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis. Deep expertise in computer vision and biometrics, especially face recognition. Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact. Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code. Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like A

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We've been doing a lot of thinking as a team, and what we've landed on is that this person needs to be someone who takes ownership. Real ownership. Not just "I'll close the ticket", but "I'm going to make sure this never happens again" type of ownership. That's the kind of person we're looking for, and frankly, that's the kind of person who's going to thrive here at Palantir. As an IT Support Engineer, you take real pride of our internal ecosystem, from individual workstations to conference rooms to the systems employees rely on every day. You're the person people turn to when something isn't working, whether they're at their desk, travelling, or preparing for an important meeting. You're thorough when it comes to troubleshooting. You don't just close the ticket, you make sure the underlying issue is actually resolved. When something keeps coming back, you dig into why and strive to look for a permanent fix. You're proactive by nature and complacency isn't something you settle for, and it’s not something we settle for either. You're constantly looking for ways to eliminate friction, automate the mundane, and elevate the bar for TechOps. People feel comfortable coming to you with problems because you're approachable and follow through. You're familiar with the needs of executives and senior staff, and you check in proactively when you know something critical is on the horizon like a board meeting, an earnings call, an internal conference or a big reveal rather than taking a back seat. What sets you apart is how much you care about the growth of the people around you. When you work through a tough ticket with a colleague, you make it a teaching moment. When you

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We've been doing a lot of thinking as a team, and what we've landed on is that this person needs to be someone who takes ownership. Real ownership. Not just "I'll close the ticket", but "I'm going to make sure this never happens again" type of ownership. That's the kind of person we're looking for, and frankly, that's the kind of person who's going to thrive here at Palantir. As an IT Support Engineer, you take real pride of our internal ecosystem, from individual workstations to conference rooms to the systems employees rely on every day. You're the person people turn to when something isn't working, whether they're at their desk, traveling, or preparing for an important meeting. You're thorough when it comes to troubleshooting. You don't just close the ticket, you make sure the underlying issue is actually resolved. When something keeps coming back, you dig into why and strive to look for a permanent fix. You're proactive by nature and complacency isn't something you settle for, and it’s not something we settle for either. You're constantly looking for ways to eliminate friction, automate the mundane, and elevate the bar for TechOps. People feel comfortable coming to you with problems because you're approachable and follow through. You're familiar with the needs of executives and senior staff, and you check in proactively when you know something critical is on the horizon like a board meeting, an earnings call, an internal conference or a big reveal rather than taking a back seat. What sets you apart is how much you care about the growth of the people around you. When you work through a tough ticket with a colleague, you make it a teaching moment. Whe

The Program Management Office (PMO) at Zoox is responsible for driving cross-functional program planning and execution at the highest level. We partner with leaders from across the company in vehicle development, system design, software engineering, manufacturing, fleet operations, and business functions to develop and deliver major corporate milestones on the path to launch, and beyond. Our program managers contribute to the end to end success of technical, integrated product milestones involving both of our vehicle platforms - the Toyota Highlander test fleet and Zoox’s purpose-built robotaxi. In this role, you will: Own the fleet validation operational strategy: Lead the end-to-end strategy and execution of mileage accumulation for both the physical test fleet and simulation assets, to enable Zoox’s geofence expansion across all cities. Partner closely with upstream teams (e.g. Autonomy, Systems Design & Mission Assurance, Places & Build) and downstream teams (e.g. Data Science, Fleet Operations) to ensure critical inputs are available, and results are delivered; you will ultimately "own the outcome" of test fleet data collection. This is a high leverage, high impact role. Usher in a simulation-first methodology : Act as the cross-functional catalyst for scaling simulated mileage accumulation. Drive alignment between Autonomy, System Design & Mission Assurance, and Simulation teams to ensure clear requirements are set, and simulation platforms are resourced to meet exponentially growing data needs. Identify and resolve critical bottlenecks : Develop rigorous tracking mechanisms that model the impact of upstream dependencies (e.g., map content deliverables and safety requirements). You’ll think critically and work cross-functionally to squash inefficiencies in upstream and downstream pipelines and systems. Partner collaboratively wi

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Machine Learning Engineer specializing in synthetic data, you will play a pivotal role in developing the synthetic data pipeline that is crucial to Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of synthetic data, including maintaining and optimizing the synthetic data pipeline, data analysis and generation, as well as conducting data ablations and model evaluation to gauge data quality. You will work with diverse web data and code data and transform them using generative models to improve token efficiency and model quality. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a

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 Team Micron’s Engineering Tool Development (ETD) group develops advanced software solutions that enable innovation across Micron’s technology development and manufacturing organizations. The team works at the intersection of software engineering, computer vision, and semiconductor technology to deliver tools that improve efficiency, yield, and insight across a broad range of engineering disciplines. Job Summary As a Computer Vision Engineer, you will apply computer vision, image processing, and machine learning techniques to solve complex software problems. You will work with multiple programming languages, frameworks, and disciplines, and you will be encouraged to experiment with new technologies while continuously developing your skills in a fast‑evolving technical environment. As an engineer in the Engineering Tool Development group, you will have the opportunity to work on a broad set of technologies and solutions that enable Micron’s innovation across technology development and manufacturing. Key Responsibilities Design and develop advanced image processing and analysis solutions to extract measurements, perform calculations, and analyze image data. Apply computer vision, image p