Machine Operators Helpers Assistants in United States

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Your Role at Baxter As a Product Service Coordinator, you will play a key role in supporting Baxter's depot service and repair operations for medical devices, including patient monitors, EKG machines, vision screeners, and other Baxter products. In this role, you will manage service transactions in SAP, coordinate repair activities, process customer orders, and ensure accurate documentation throughout the repair lifecycle. This position combines system-based work, customer communication, and operational support to help move products efficiently through the service process and back to customers. What You'll Do Receive and process returned medical devices, verify product information, and enter service-related details into SAP. Create and maintain service records, including customer account information, billing details, return authorizations, costs, revenue data, and repair documentation. </

We anticipate the application window for this opening will close on - 2 Oct 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life Job Specific Summary In this exciting role as a Manufacturing Engineer for Medical Devices Operations you will have responsibility for executing detailed process analysis to assure that the operations are working in accordance with standard procedures and quality regulations. Also, you will have to perform equipment and process evaluations to determine methods for collecting objective data to identify opportunities of improvements and determine actions to increase current performance of the operations. Provide technical assistance to manufacturing and maintenance personnel to correct discrepancies, to update or to improve the equipment, machines and tooling used on production. At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working 5 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. Responsibilities may include the following and other duties may be assigned. Team with manufacturing, maintenance and quality personnel on a daily basis to review / disposition production defects and provid

The ICEE Company is the leader in frozen beverage industry, offering the most comprehensive frozen package and service network in the beverage and food service industry. As the largest subsidiary of J&J Snack Foods who provides branded snack foods to foodservice and retail supermarket outlets across the U.S. Its products include such icons as SUPERPRETZEL and Dippin’ Dots along with other key brands like LUIGI’S Real Italian Ice, The Funnel Cake Factory Funnel Cakes, and Hola Churros. J&J also has a strong presence in bakery providing cakes, cookies, and pies to some of the largest grocery and convenience retailers in industry. Our company continues to deliver record sales led by a talented team and a commitment to “Fun Served Here”. POSITION SUMMARY: Under the supervision of the operations leadership, Service Technicians will be held to a high standard of service. ICEE has a commitment to success: to our customers, partners, and team members. Service Technicians are required to service all ICEE and restaurant equipment including Frozen Carbonated and Non-Carbonated dispensers, fountain beverage equipment, ice makers, juice dispensers, etc. Service Technicians will work with minimal supervision and are required to attend weekly meetings held in their Service Center. Team members in this role are provided with a vehicle, uniforms, tools, cell phone, tablet, and gas card. ESSENTIAL FUNCTIONS: Receives dispatched service calls as assigned and ensures a prompt response based on estimated time of arrival (ETA). Performs preventative maintenance, troubleshoots or diagnoses service problems, and completes repairs as needed. Checks quality of all products i.e.: checking syrup levels, changing out flavors, cleaning around machines, etc. Maintains inventory and maintenance on equipment such as: parts, tools, and the company vehicle. Reviews service orders and service performed with the respective supervisor. Keeps his/her supervisor informed of customer concerns

About the Team Compute Foundations builds the software that manages OpenAI’s GPU compute infrastructure across sites, data centers, and infrastructure providers, supporting model training and inference. Our systems turn large, heterogeneous fleets of machines into dependable compute for research and products. We build Kubernetes-based control planes, controllers, services, and APIs that coordinate the lifecycle of machines and clusters. We connect global infrastructure management with the realities of bare-metal systems, giving clients consistent interfaces across differences in hardware, topology, and provider behavior. About the Role You will build distributed systems that provision, configure, and manage compute throughout its lifecycle. Your work will connect global services and Kubernetes controllers with the systems that bring machines online, update them safely, and recover them when something goes wrong. This role combines software architecture with an understanding of how machines and data centers work. You might design a lifecycle API, improve controller performance under high concurrency and provider rate limits, or trace a provisioning failure from an API through reconciliation to network boot or host configuration. You will help these systems remain reliable as the fleet expands across sites and generations of GPU hardware. We value depth in relevant systems and the ability to connect layers. You do not need to arrive as an expert in every component of the stack. In this role, you will: Design, build, and operate Kubernetes-based controllers and distributed services that coordinate infrastructure across sites, isolate failures, and scale as GPU capacity grows. Define APIs and resource models that let clients request and track lifecycle operations through consistent interfaces across hardware platforms and providers. Build provisioning and configuration services that coordinate network boot, hardware management interfaces, and the deployment of firmware,

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life A career at Medtronic is like no other. We’re purposeful. We’re committed. And we’re driven by our Mission to alleviate pain, restore health and extend life for millions of people worldwide. The Sr. Manufacturing Engineer is responsible for leading and supporting manufacturing process development, optimization, and continuous improvement efforts to ensure safe, efficient, and high-quality production. This role provides technical expertise for process design, equipment implementation, troubleshooting, and validation while partnering cross-functionally with Operations, Quality, Supply Chain, and R&D to drive manufacturing excellence. The Sr. Manufacturing Engineer serves as a subject matter expert and technical leader, helping to improve productivity, reduce cost, enhance product quality, and support new product introductions and manufacturing scale-up. The role also evaluates and implements process improvements, advanced technologies, and engineering solutions that strengthen operational performance and compliance. Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient a

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. ROLE OVERVIEW The Retail Lead delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. Home game shifts are considered a core responsibility of the position and may include pre-game, in-game, and post-game operational support. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Fan & Customer Impact (Obsessed with Fans) Drive sales results by consistent execution of daily operations Support back of house operations; maintain stockroom organization Knowledge of retail operation systems including but not limited to OpSuite5.0 (online inventory manager), POS (point of sales) and CAYAN (credit card machines) Partner with Leadership team when making decisions including but not limited to; revenue targets, per cap and UPT (unit per time) Work with Retail Associates to ensure an exemplary fan experience Ownership & Execution (Determined & Relentless Mindset) Communicate expectations for assignments and projects to Retail Associates Provide training and assistance to Retail Assoc

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. ROLE OVERVIEW The Retail Lead delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. Home game shifts are considered a core responsibility of the position and may include pre-game, in-game, and post-game operational support. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Fan & Customer Impact (Obsessed with Fans) Drive sales results by consistent execution of daily operations Support back of house operations; maintain stockroom organization Knowledge of retail operation systems including but not limited to OpSuite5.0 (online inventory manager), POS (point of sales) and CAYAN (credit card machines) Partner with Leadership team when making decisions including but not limited to; revenue targets, per cap and UPT (unit per time) Work with Retail Associates to ensure an exemplary fan experience Ownership & Execution (Determined & Relentless Mindset) Communicate expectations for assignments and projects to Retail Associates Provide training and assistance to Retail Assoc

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. ROLE OVERVIEW The Retail Lead delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. Home game shifts are considered a core responsibility of the position and may include pre-game, in-game, and post-game operational support. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Fan & Customer Impact (Obsessed with Fans) Drive sales results by consistent execution of daily operations Support back of house operations; maintain stockroom organization Knowledge of retail operation systems including but not limited to OpSuite5.0 (online inventory manager), POS (point of sales) and CAYAN (credit card machines) Partner with Leadership team when making decisions including but not limited to; revenue targets, per cap and UPT (unit per time) Work with Retail Associates to ensure an exemplary fan experience Ownership & Execution (Determined & Relentless Mindset) Communicate expectations for assignments and projects to Retail Associates Provide training and assistance to Retail Assoc

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. ROLE OVERVIEW The Retail Lead delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. Home game shifts are considered a core responsibility of the position and may include pre-game, in-game, and post-game operational support. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Fan & Customer Impact (Obsessed with Fans) Drive sales results by consistent execution of daily operations Support back of house operations; maintain stockroom organization Knowledge of retail operation systems including but not limited to OpSuite5.0 (online inventory manager), POS (point of sales) and CAYAN (credit card machines) Partner with Leadership team when making decisions including but not limited to; revenue targets, per cap and UPT (unit per time) Work with Retail Associates to ensure an exemplary fan experience Ownership & Execution (Determined & Relentless Mindset) Communicate expectations for assignments and projects to Retail Associates Provide training and assistance to Retail Assoc

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We’re hiring a Staff Machine Learning Engineer to help drive the future of merchant presence and shopping experiences on Pinterest. This role sits on the Merchant team and focuses on building AI/ML systems (including LLMs) that identify, understand, and surface relevant, high-quality merchants across segments—so Pinners can discover new brands with greater confidence and consideration, and merchants can reach new, diverse audiences. In this role, you’ll lead LLM-first, evaluation-driven initiatives—near-term focused on agentic workflows, measurement, and operational rigor that strengthen Merchant Integrity and Business Integrity. Longer term, you’ll help advance core relevance capabilities such as merchant/brand affinity modeling and related signals that improve shopping discovery across Pinterest. You’ll partner closely with Product Managers, E

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: Python / Postgres / Snowflake / dbt AWS SageMaker and MLflow What you'll do: Own and drive the foundational work of a ML system at CLEAR Design, build and deploy ML models for various applications, such as document and image processing, fraud detection. Develop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 3+ years of experience building, operating and scaling ML models for consumer applications, particularly those with experience building end-to-end systems Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Expertise in best practices for feature enginee

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. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Driver, Marketplace, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing petabyte-scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the Marketplace at Lyft, is responsible for determining what inventory can be reliably offered for a given rider session and fulfilling rider requests. The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion. We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science. Responsibilities: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft's ML platform Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . The Responsible AI team is part of the Advanced Technologies Group (ATG), Pinterest’s advanced machine learning team. ATG’s goal is to keep Pinterest at the forefront of machine learning technology across multiple use cases including recommendations, ranking, content understanding, and more. It is an applied team that works horizontally across the company on state of the art AI and ML and works on directly bringing that technology to the product in collaboration with product engineering teams. The team also publishes its work in applied research conferences, but the main goal of the team is to have a direct impact on business metrics. At Pinterest our goal is to inspire pinners (our users) to live the life they love. The product is powered by state of the art ML algorithms which are used to understand both the billions of visually rich items on

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Digital Twin Platform team at Instacart is on a mission to understand exactly what is on store shelves at all times — bringing the precision and depth of a smart warehouse to every local grocery store across North America. Inventory estimates power some of the most critical products at Instacart, from search to logistics, and this team sits at the center of it all. Operating like a startup within a larger company, the team drives the end-to-end shelf data supply chain: ingesting data from retail partners, actively collecting novel inventory observations, developing sophisticated models, and integrating those outputs into live products at scale. We are looking for a Senior Machine Learning Engineer to help build the next generation of platforms for understanding, observing, and predicting inventory levels and in-store stocking dynamics in real time. In

About the Team The Future of Computing Research team is an applied research team within OpenAI’s Consumer Devices group. We study how AI systems perceive people and their surroundings, and we turn that research into capabilities for future products. Our work spans machine learning, sensing, and hardware, with a focus on building systems that work beyond controlled environments. About the Role We’re looking for a machine learning engineer to help shape how future AI systems understand the physical world and the people in it. The role focuses on multimodal perception and authentication, bringing together signals from cameras, microphones, and other sensors. You’ll work with specialized perception models and larger multimodal models, and partner with hardware, firmware, software, and product teams to bring new research into real-world systems. This role is based in San Francisco. We work in the office three days per week and offer relocation assistance. In this role, you will: Research and develop multimodal perception and authentication methods across visual, audio, and other sensing signals. Explore how specialized perception models and larger multimodal models can work together. Design data, training, and evaluation approaches that improve performance in real-world conditions. Study model behavior, robustness, and failure modes across sensing, data, and deployment environments. Integrate and validate new capabilities in real-time or resource-constrained systems. Work with hardware, firmware, software, and product teams to turn research into working systems. You might thrive in this role if you: Have a strong background in computer vision, audio or speech machine learning, multimodal learning, or sensing. Have experience developing specialized machine learning models, larger multimodal models, or both. Have brought research ideas into practical systems, prototypes, or products. Know how to design experiments, build evaluations, and investigate model behavior. Have wo