Machine Operator Integrator Jobs

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join us! NVIDIA is redefining what’s possible with AI, and our Relational Foundation Model team is at the forefront of that mission. We’re building a single, unified foundation model that understands the structure and relationships within any relational database or heterogeneous graph — a fundamentally new approach to enterprise AI. As an engineer on this team, you won’t just be fine-tuning existing models; you’ll be designing and experimenting with novel Transformer and GNN architectures that generalize across diverse relational schemas. Your work will directly impact real-world applications spanning recommendation systems, demand forecasting, fraud detection, and predictive maintenance — all powered by one extensible model. You’ll collaborate closely with researchers and engineers across the full ML lifecycle, from architecture exploration and large-scale training to post-training optimization and inference acceleration. This is a rare opportunity to contribute to foundational research that ships into production and shapes the modern data stack. If you’re excited about graph learning, relational reasoning, and building AI systems that go far beyond single-table benchmarks, this is the team for you. What you’ll be doing: Collaborate with researchers/engineers to

Data Analyst Company: Boeing Defence United Kingdom Limited At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Defence UK Analytics team are an agile team based out of Bristol, delivering data warehouse, rapid prototyping in Tableau and the configuration and the deployment and uptake of Enterprise analytic tools. The team size is currently 18 and managed by a Data Analytics Manager and a Programme Manager. Business travel within the UK and overseas will be required, including occasional overnight stays. Responsibilities Due to the growth in the team, an exciting opportunity has arisen for an Business Intelligence Analyst. This position will sit within the Applied Team and be responsible for the delivery of analytics capability to the customer. Specific responsibilities will include: Development of Business Intelligence information models, dashboards, metrics and reports, utilizing standard technologies and methodologies that meet business objectives. Combining programming, SQL skills, best practices and business expertise to deliver efficient and scalable Business Intelligence solutions to improve business productivity and business outcomes. Working with stakeholders to capture requirements and deliver value. Foster a work environment that encourages business innovation and strong customer relationship management. Training

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 Auth0 Sales Team Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As an Enterprise Account Executive, Auth0, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers. The successful candidate is a highly motivated, self-driven, and senior sales executive who is passionate about winning key new logos, about engineering and product technology and about driving protection against the biggest identity threats. As an Auth0 Account Executive, you will be working with Japan Auth0 resellers and distributors, focused on providing value to Japan's most mature Product Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth primarily through net new logos acquisition as well as through cultivating relationships to develop and grow existing Auth0 customers. What you’ll be doing: Build a plan to guide your long-term approach to net new logo pipeline generation Consistently deliver revenue targets to support YoY territory growth Identify, develop and execute account strategies to generate pipeline, drive sales oppor

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 Auth0 Sales Team Auth0 supports Okta’s vision of freeing anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of log-ins every year for Consumer and SaaS applications. As an Enterprise Account Executive, Auth0, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Auth0 customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers. The successful candidate is a highly motivated, self-driven, and senior sales executive who is passionate about winning key new logos, about engineering and product technology and about driving protection against the biggest identity threats. As an Auth0 Account Executive, you will be working with Japan Auth0 resellers and distributors, focused on providing value to Japan's most mature Product Development teams (Engineering, Product, Security and Architecture). You will continually drive territory growth primarily through net new logos acquisition as well as through cultivating relationships to develop and grow existing Auth0 customers. What you’ll be doing: Build a plan to guide your long-term approach to net new logo pipeline generation Consistently deliver revenue targets to support YoY territory growth Identify, develop and execute account strategies to generate pipeline, drive sales oppor

Job ID: 111270 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. Responsibilities: Responsible for influencing product roadmaps through analytics and financial and business modeling. Develop hypotheses and analytical frameworks for understanding pricing dynamics and market outcomes. Analyze collected data and extract information relevant to problems. Work closely with product leads to build efficient tools, systems, and processes to manage pricing and driver earning at scale. Develop and test quantitative models, support software, and analytical tools. Experience: Education and Experience: Master's degree or foreign equivalent in Operations Research, Analytics, or related field. 3 years of experience in job offered, analytics, or related occupation. Skills: Experience with quantitative analysis, predictive modeling, and machine learning. Experience with programming languages, analytical software, and database applications. Experience with business analytics and authoring data pipelines. Experience with optimization and programming, including C++, R, Python, and algorithms. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, col

Job ID: 111268 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. Responsibilities: Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context. Perform exploratory data analysis to gain a deeper understanding of the problem. Construct and fit statistical, machine learning, or optimization models. Write production modeling code; collaborate with Software Engineers to implement algorithms in production. Design and run both simulated and live traffic experiments. Analyze experimental and observational data; communicate findings; facilitate launch decisions. Experience: Education and Experience: Master's degree or foreign equivalent in Business Analytics and Information Management, Data Science, or related field. 2 years of experience in job offered, operations research, or related occupation. Skills: Experience creating metrics and analytical tools to track and monitor growth. Experience with statistics, machine learning, causal inference, data scientific forecasting, and authoring data pipelines. Experience with building and evaluating optimization and inference models, and predictive modeling. Experience with writing production quality computer code and using MATLAB, R, and Python. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Center for Inclusive Growth - Tech for Good Overview Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. The Center for Inclusive Growth is the social impact hub at Mastercard. The organization seeks to ensure that the benefits of an expanding economy accrue to all segments of society. Through actionable research, impact data science, programmatic grants, stakeholder engagement and global partnerships, the Center advances equitable and sustainable economic growth and financial inclusion around the world. The Center’s work is at the heart of Mastercard’s objective to be a force for good in the world. Role The Tech for Good team sits within the Center’s Global Programs team and leads programmatic strategies and initiatives that accelerate the responsible adoption and scalable use of technology, including AI and data innovation, for social impact. The team addresses inf

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 large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, 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, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Design, implement, and operate cutting-edge ML training performance optimization techniques — distributed training (data/tensor/pipeline parallelism), mixed-precision, gradient checkpointing, and GPU kernels — to scale our VLM, VLA, and Foundational models training efficiency. <

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 large-scale Foundation models, VLMs, and VLAs to make autonomous driving as seamless as possible. The Opportunity Are you excited to drive our ML Performance Optimization initiatives and make our ML models that enable autonomous driving as fast and efficient as possible? You will get to work with SOTA accelerators, cutting-edge techniques in distributed training, quantization, distillation, and pruning, among other things, working closely with all the Autonomy teams within Zoox - Perception, Prediction, Planner, Simulation, Collision Avoidance, 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, model development, and serving systems that our applied research teams use for in- and off-vehicle ML use cases. You will work alongside a team of strong software engineers and act as a force multiplier for our internal customers. This team has many growth opportunities as we expand our robotaxi deployments and venture into new ML domains. If you want to learn more about our stack behind autonomous driving, please look here. If you want to learn more about our ML Infrastructure, here is one of our past talks at re:Invent. In this role, you will: Lead the design, implementation, and operation of training performance optimizations (data/tensor/pipeline parallelism, mixed precision, gradient checkpointing, GPU kern

At Spotify, our Subscriptions organisation helps listeners discover the value of Spotify, find the right subscription, and keep enjoying the content they love. From acquisition and activation to retention, commerce, and customer service, we build experiences that connect listeners with Spotify and support lasting relationships. We're looking for an Engineering Manager II to lead a team of data and backend engineers within our Subscriptions Mission. Your team will build data products, pipelines, and services that help teams understand listener needs and deliver more relevant experiences. You'll work closely with product managers, data scientists, business partners, and engineers to turn complex challenges into reliable solutions. You'll also create an environment where engineers can grow, collaborate, and make a meaningful impact. What You'll Do Lead, support, and develop a team of data and backend engineers, creating an inclusive environment where everyone can contribute and grow. Work with product managers, business partners, and engineering teams to set priorities and build data products that improve the subscription experience. Guide the development of reliable, scalable data pipelines and backend services that support targeting, messaging, personalisation, and machine learning. Help your team make informed technical decisions, balancing data quality, reliability, business needs, and long-term maintainability. Support engineers through regular feedback, coaching, career development, and opportunities to share knowledge. Collaborate across teams to manage dependencies, solve challenges, and build shared data solutions. Improve engineering practices, including service reliability, sustainable on-call processes, and responsible data management. Explore opportunities to use AI and

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: SpaceXSI operates multi-campus, hyperscale GPU infrastructure where cluster availability directly determines training throughput, customer handover commitments, and capital efficiency of the fleet. The Manager of Supercomputer Site Reliability Engineering will be responsible for both compute and infrastructure performance, and will be responsible for significantly increasing the SRE team size. On the compute side, focus will be put on continuous site monitoring, cross-discipline incident command, deep hardware root-cause analysis (RCA), and emphasis on software systems that orchestrate repair velocity. Additional focus will be on physical infrastructure reliability as well. Understanding system margins and resiliency will be key. Site Reliability engineering manager owns >99% compute uptime outcome, drives unplanned facilities compute losses to 0, ensures efficient allocation of > 3GW site power, upgrade robust fault-free megapack failover systems capable of supporting all halls for >4 hours (160 MWhr per hall), drives robust hardware inventory systems and repair velocity to eliminate hardware chokepoints. RESPONSIBILITIES: Serve as the senior oper

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK) | 💰 £85,000 - £105,000 + Incentive Awards tied to your performance + Benefits ⭐Our Model Oversight team The second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud, Finance and Operations to help Monzo grow safely. We’re looking for a Model Validation Senior Manager - Gen AI to lead the teams’ oversight of Generative AI models/use cases (primarily built across Monzo’s Operations squads) to provide assurance that the models/use cases we use are not only good for Monzo but what's best for our customers. 🔑You’ll play a key role by... Driving the embedding of the Model Risk Framework for Generative AI use cases across Monzo Lead the collaboration with the first line of defence teams to strengthen policies, standards and procedures for Generative AI model, use case, system design and build, implementation, governance, monitoring and use. Helping to embed best practice of Generative AI across the business. Own the setting and maintenance of Generative AI validation methods, evidence expectations and reusable technical

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Algorithms Engineer (Senior Level) 5 Work Days Per Week Office Near Tai Seng MRT , Singapore Entitled to Yearly Bonus & Performance Bonus Job Requirements: Master's Degree or PhD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. At least 2-5 years of professional experiences in AI role is required for this post. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Str

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Algorithms Engineer (Master / PhD Holder) 5 Work Days Per Week Office Near Tai Seng MRT , Singapore Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Job Requirements: Master's Degree or P hD Holder in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. Strong programming skill in Python, C / C++ , proficient in mathematical / statistical concepts and exceptional coding skills Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. Strong logical thinking and problem-solving ability, a

Job Details: Job Description: Shape the Atomic Frontier of Semiconductor Innovation At Intel Foundry Technology and Development (TD), we don't just participate in technology development; we engineer physical reality at the angstrom scale. We are seeking visionary, research-driven Ph.D. graduates in Chemical Engineering, Chemistry, Materials Science, Electrochemistry, and Engineering to spearhead the next breakthrough in semiconductor manufacturing. As a Wet Etch Module Development Engineer, you will operate at the intersection of fundamental chemical kinetics, interfacial surface science, and high-volume manufacturing engineering. You will pioneer atomic-layer selective etching, nanoscale surface cleans, supercritical and surface-tension-engineered drying, wet chemical formulations, and advanced single-wafer wet tool architectures to define the future of global computing. What You Will Do: Pioneer Next-Gen Process Architectures: Formulate and execute rigorous Design of Experiments (DOE) to invent, characterize, and validate novel wet etch, selective removal, and advanced chemical clean processes that power world-class transistor architectures (RibbonFET/GAA), backside power delivery networks (PowerVia), and high-density interconnect scaling Lead Hardware and Module Co-Optimization: Collaborate with premier global semiconductor equipment suppliers and specialty chemical vendors to push single-wafer and batch wet processing capabilities beyond conventional fluid-dynamic and surface-tension limits, co-engineering custom dispense, megasonic, and chamber hardware solutions Harness AI and Scientific Computing: Integrate computational fluid dynamics (CFD), chemical kinetics modeling, statistical physics, and data science (Python, MATLAB, JMP, ML frameworks) to accelerate chemical formulation screening, surfac