Facility 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. Responsibilities include, but not limited to: Develop strategies and execute to improve Equipment maturity for First of a Kind (FOAK) hardware. Develop hardware roadmaps for 5+ years in the area of post probe wafer and die processing. Developing wafer and assembly equipment to meet the physical and electrical requirements of Micron’s products. Optimizing equipment to reduce cost, availability, and improve hardware and process capability. Collaborating with process development teams to develop innovative new solutions. Conducting root cause and failure mode analysis to understand the limitations of current hardware and drive APTD development projects with OEMs vendors for solutions. Performing fundamental research to drive innovative solutions for next-generation equipment products. Support equipment transfer to production facilities (some domestic or international travel may be required). Applying Artificial Intelligence.AI Minimum Qualifications: Experience with design of experiment techniques (DOE), Statistical Process Control (SPC), Defect analysis and data analysis Strong analytical and creative problem-solving skills. Ability to use extensive technical knowledge to guide strategic directions. Ability to resolve complex issues through root-cause or model-based problem solving. Proficiency in statistics, preferably in statistical process contro

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 include, but not limited to: Develop strategies and execute to improve Equipment maturity for First of a Kind (FOAK) hardware. Develop hardware roadmaps for 5+ years in the area of post probe wafer and die processing. Developing wafer and assembly equipment to meet the physical and electrical requirements of Micron’s products. Optimizing equipment to reduce cost, availability, and improve hardware and process capability. Collaborating with process development teams to develop innovative new solutions. Conducting root cause and failure mode analysis to understand the limitations of current hardware and drive APTD development projects with OEMs vendors for solutions. Performing fundamental research to drive innovative solutions for next-generation equipment products. Support equipment transfer to production facilities (some domestic or international travel may be required). Applying Artificial Intelligence.AI Minimum Qualifications: Experience with design of experiment techniques (DOE), Statistical Process Control (SPC), Defect analysis and data analysis Strong analytical and creative problem-solving skills. Ability to use extensive technical knowledge to guide strategic directions. Ability to resolve complex issues through root-cause or model-based problem solving. Proficiency in statistics, preferably in statistical process contro

About the Team The Applied team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are seeking Software Engineers (Emerging Talent) to join our Applied Engineering team. You’ll work in a highly iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs. In this role, you will: Own the development of new customer-facing ChatGPT and OpenAI API features and product experiences end-to-end Talk to users to understand their problems and design solutions to address them Collaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge products Optimize applications for speed and scale Create a diverse and inclusive culture that makes all feel welcome. Your background looks something like: Bachelor's or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 0-1 years of experience in software engineering or a relevant field Proficiency with JavaScript, React, and some backend languages (we use Python) Some experience with relational databases like Postgres/MySQL Interest in AI/ML (direct experience not required) Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadl

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

Business Analyst – Retail Energy Location: Dallas, Texas (Hybrid) | Practice Area: Business Consulting | Type: Permanent Shape the future of retail energy by translating complex business needs into impactful technology solutions. The Role As a Business Analyst specializing in Retail Energy, you will support clients in delivering transformation initiatives across the energy sector. You will work closely with stakeholders to understand strategic objectives, gather and translate requirements, and bridge the gap between business and technology teams. This role requires strong analytical capability, industry knowledge, and the ability to deliver high-quality consulting outcomes. What You’ll Do Facilitate client workshops and meetings to gather, analyze, and document business and functional requirements Develop business requirement documents (BRDs), user stories, and process models to support solution design Analyze current and future state processes to identify gaps and recommend improvements Collaborate with stakeholders and technical teams to ensure accurate translation of business needs into solutions Produce high-quality deliverables including reports, presentations, and consulting documentation What We’re Looking For 4+ years of experience as a Business Analyst, ideally within Retail Energy Experience with CIS/Billing, EDI, Customer Care, or energy retail products (C&I or Mass Market) Strong skills in requirements gathering, process mapping, and stakeholder engagement Experience working in consulting or professional services environments preferred Bachelor’s degree in a relevant field such as Business, Finance, Computer Science, or similar Bonus Points For Experience across broader energy domains such as wholesale, settlements, or utilities Exposure to business case development and consulting methodologies Familiarity with data modeling or basic scripting Experience contributing to reusable consulting assets (e.g., templates, frameworks) Advanced degree i

About Us Connected International, Inc. (Connected Cannabis Co.) is a leading vertically integrated cannabis company based in Sacramento and operating in California, Arizona, and Florida. With over 11 years experience, Connected specializes in breeding, growing, manufacturing, and distributing top-shelf cannabis through its state-of-the-art facilities and proprietary genetics. With over 250 employees across the United States, Connected maintains a strong presence in the industry across multiple markets. The company has recently expanded into Arizona and Florida with ambitious national expansion plans underway. Connected's mission has always been to breed, grow, and sell the best cannabis in the world, setting high standards for its products, people, and partners wherever we go. About the Job We are looking for an Order Fulfillment Associate to join our team! Under limited supervision, this position will primarily be responsible for performing the physical tasks involved with processing of orders, product shipping and distribution of materials, supplies, and equipment. This role is a full time opportunity, Monday thru Friday from 8:30am - 5pm . What You Will Do Handle and store product in distribution environment Adhere to BCC issued compliance regulations Ensure outbound product receipt meets quality control standards Confirm order shipments in WMS Submit completed orders to Distribution Admin for manifesting Support Fleet Drivers with loading outbound orders What We Are Looking For Minimum 2 years of distribution experience Willingness to learn about Connected products and understand the industry Knowledge of software applications that allow for effective customer support, generation of reports and internal presentations Ability to identify and document problems related to the product, process, or quality and recommend solutions Self sufficient, is able to work with limited or no direction; can take initiative and provide the t

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem 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 including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will facilitate Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. You Will: Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to promote more intelligent discussion at all stages of the sales funnel. Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities. Mine large datasets to ensure data accuracy and completeness for reporting purposes. Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports. Guide commission and territory planning processes with analytical support, providing the necessary reports and data. Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics. Automate report generation and distribution to improve efficiency. Provide technical expertise and guidance to junior analysts on data extraction, transformatio

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem 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 including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences ( Opera

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem 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 including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences ( Operations Research, Computer Science, Statistic

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. Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem 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 including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences ( Operations Research, Computer Science, Statistic

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. The Engineering team at Micron is at the forefront of innovation, driving the development and implementation of modern technology. Our collaborative environment cultivates growth and creativity, enabling us to deliver world-class solutions that build the future of information technology. The Operations Equipment Program Manager plays a significant role in our Engineering function. In this role you will partner with high volume manufacturing leadership and equipment teams to ensure flawless tool installations and lead ongoing continuous improvement across all facets of fab tool installations with facilities, construction, suppliers, procurement and global teams to meet installation deliverables. Advancing critical initiatives, you will lead high-impact initiatives by harnessing data insights and emerging AI technologies to optimize business processes, improve efficiency, and deliver strategic value. Responsibilities: Support Equipment Managers and Tool Owners in delivering high-quality tool installations through process qualification ahead of required in-service dates. Drive priority alignment and issue resolution across all organizations involved in tool installation and qualification activities. Routinely audit installation quality, safety, and schedule adherence across all process tool installations. Partner with global teams on installation standardization and improvement projects, and Procurement and Supplier Management teams to proactively identify risks and initiate ea

Commercial Gate & Access Control Technician Pacoima, CA (San Fernando Valley) | Full-Time + medical/dental/vision, and 401(k) with 4% match. AM/PM Door & Gate is hiring an experienced gate technician to service commercial automatic gates, gate operators, and access control systems across Los Angeles County. About AM/PM Door & Gate AM/PM Door & Gate has kept Los Angeles properties secure since 1986. From our Pacoima shop, we provide 24/7 gate, door, and access control service to property management companies, HOAs, apartment communities, industrial facilities, and commercial sites across the San Fernando Valley, Santa Clarita, Ventura County, and greater LA. The Role You'll run a daily route of service calls and preventive maintenance. You diagnose it, fix it right the first time, and make sure the customer knows exactly what was done and what the system needs next. What You'll Do Install, troubleshoot, repair, and maintain commercial doors, gates, and operators (sliding, swinging, and overhead). Service and replace access control components, keypads, card readers, and intercom systems. Work with automatic door and gate systems, including safety sensors, loop detectors, and control panels. Perform replacements and retrofits for doors, gates, and operators as needed. Conduct heavy lifting, precise alignment, and secure mounting during installations or repairs. Read and interpret blueprints, wiring diagrams, and schematics for proper setup. Fabricate, weld, or modify components for custom fits and repairs. Ensure all work meets safety codes and company quality standards. Provide clear communication and excellent customer service when working on-site. What You Bring 2+ years servicing commercial or multifamily automatic gate operators Hands-on experience with major operator brands Working knowledge of low-voltage controls, operator wiring, and wiring diagrams; confident with a multimeter Understanding of UL 325 entrapment protection re

Band 6 Acute Medicine Physiotherapist Location: Birmingham Start Date: ASAP Contract: Ongoing Pay Rate: Competitive Rates Available We are recruiting for an experienced Band 6 Acute Medicine Physiotherapist for an exciting opportunity in Birmingham. This is an exclusive vacancy available only through our agency , offering competitive rates and an immediate start for the successful candidate. The Role You will work within a busy acute medicine service, assessing and treating patients with a wide range of complex medical conditions. You will play a key role in facilitating recovery, promoting safe discharge planning, and supporting patients to regain mobility and independence during their hospital stay. Key Responsibilities Conduct comprehensive physiotherapy assessments for acute medical patients. Develop and deliver individualised treatment and rehabilitation plans. Manage a varied caseload within acute medical wards. Support early mobilisation, respiratory care, and functional rehabilitation. Contribute to discharge planning and patient flow initiatives. Work collaboratively with multidisciplinary teams to achieve the best patient outcomes. Maintain accurate and timely clinical documentation. Requirements HCPC Registered Physiotherapist. Previous NHS experience at Band 6 level. Acute Medicine or Acute Inpatient Physiotherapy experience is essential. Strong clinical reasoning and assessment skills. Excellent communication and organisational abilities. Ability to work independently and effectively manage a busy caseload. What's on Offer? Competitive hourly rates. Exclusive agency opportunity. Immediate start available. Ongoing contract opportunity. Dedicated consultant support throughout your placement. Weekly payroll. Apply Now If you are a Band 6 Acute Medicine Physiotherapist looking for your next opportunity in Birmingham and are available to start ASAP, we'd love to hear from you. Call Emily Thomas on 0330 818 7532 or alternatively email [email protected]