Production Operator, Processing – 2nd Shift

Work Flexibility: Onsite Schedule: 3:00pm – 11:00pm, Monday - Friday, OT required as needed. What you will do: As a Machine Operator in our Comfort Bath department, you will be working with products that are improving and saving people’s lives by being responsible for the overall operation of potentially large-scale manufacturing machinery including actions such as feeding materials for processing, adjusting settings, performing minor repairs, and pulling finished products from the line. Operate simple manufacturing equipment, demonstrate machining/mechanical aptitude, and learn new responsibilities and tasks as needed Attend and participate in daily team meetings Stock work area with needed materials Collaborate with peers, functional departments, and technicians Identify and accurately record scrap, maintenance requests, and production documents Maintain Good Manufacturing Practice (GMP) and Good Documentation Practice (GDP) standards Perform and assist with in-process quality checks where applicable Effectively communicate with supervisors, coworkers, and incoming/outgoing shifts when applicable Identify and appropriately report safety concerns, production issues, and documentation errors Meet work schedule and overtime requirements, including weekends What you need: Preferred High School Diploma or GED Ability to maneuver and lift up to 50 pounds occasionally $22.30/hr + $1.00 Shift Premium plus bonus potential and benefits. Travel Percentage: 0% Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without reg

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: This position performs downstream activities that are required to successfully complete a production. This involves initiation of paperwork not generated by the documentation center, verification of components per the appropriate Bill of Materials, set-up, challenge & verification of label dispensers, verification of weighing/measuring devices for current calibration status, and set-up and verification of batch board and seal integrity stations. Some areas require assembling equipment including the operation of blending, grinding, and some molding. What you'll be doing: Monitor product exposure times and document process flow as required Periodically performs all Operator I/Operator II functions Pull required processing samples, document, package and distribute Set-up/Tear down room and keep production area supplies up to date Perform all line clearances Replace labels on dispensers, take appropriate samples and verify as well as troubleshoot any label dispenser prob

Work Flexibility: Onsite Como Plastic Processing Operator III , serás responsable de operar, configurar y monitorear maquinaria de producción, asegurando el cumplimiento de los estándares de calidad, seguridad y productividad establecidos. ¿Qué harás? Opera equipos de procesamiento de plásticos, incluyendo máquinas automáticas y semiautomáticas, para cumplir con los objetivos de producción y calidad. Configura, inicia y monitorea equipos de manufactura siguiendo hojas de proceso, procedimientos establecidos e instrucciones operativas. Realiza cambios de herramientas, moldes y ajustes de configuración para garantizar las dimensiones y especificaciones requeridas del producto. Controla parámetros del proceso, como temperatura, presión y velocidad, y ejecuta ajustes rutinarios para mantener una producción consistente. Inspecciona piezas mediante controles visuales e instrumentos de medición para verificar el cumplimiento de estándares dimensionales y de calidad. Registra con precisión datos de producción, desperdicio, ajustes de proceso y actividades básicas de mantenimiento. Ejecuta mantenimiento preventivo básico y reparaciones menores, escalando incidencias complejas al equipo de mantenimiento correspondiente. Manipula y empaqueta componentes terminados, manteniendo el cumplimiento de los procedimientos de seguridad, calidad y uso de equipos de protección personal. ¿Qué necesitas? Requerido: Diploma de cuarto año completo o equivalente. Experiencia mínima de 2 años en operación de maquinaria de manufactura

Work Flexibility: Onsite Como Plastic Processing Operator III , serás responsable de operar, configurar y monitorear maquinaria de producción, asegurando el cumplimiento de los estándares de calidad, seguridad y productividad establecidos. ¿Qué harás? Opera equipos de procesamiento de plásticos, incluyendo máquinas automáticas y semiautomáticas, para cumplir con los objetivos de producción y calidad. Configura, inicia y monitorea equipos de manufactura siguiendo hojas de proceso, procedimientos establecidos e instrucciones operativas. Realiza cambios de herramientas, moldes y ajustes de configuración para garantizar las dimensiones y especificaciones requeridas del producto. Controla parámetros del proceso, como temperatura, presión y velocidad, y ejecuta ajustes rutinarios para mantener una producción consistente. Inspecciona piezas mediante controles visuales e instrumentos de medición para verificar el cumplimiento de estándares dimensionales y de calidad. Registra con precisión datos de producción, desperdicio, ajustes de proceso y actividades básicas de mantenimiento. Ejecuta mantenimiento preventivo básico y reparaciones menores, escalando incidencias complejas al equipo de mantenimiento correspondiente. Manipula y empaqueta componentes terminados, manteniendo el cumplimiento de los procedimientos de seguridad, calidad y uso de equipos de protección personal. ¿Qué necesitas? Requerido: Diploma de cuarto año completo o equivalente. Experiencia mínima de 2 años en operación de maquinaria de manufactura o procesamiento industrial. Conocimiento básico de interpretación de planos, diagramas o esquemas técnicos. Capacidad para utilizar herrami

Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Candidate Profile 10+ years of hands-on, professional experience in query engine development or database internals Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or

What you’ll do Partner with medical image reconstruction scientists / engineers to build ML components that improve reconstruction quality, speed, robustness, or quantitative accuracy. Define training/evaluation pipelines, datasets, and metrics that map to user needs and design requirements. Productionize models: inference performance, reproducibility, monitoring for drift/regressions, and safe fallbacks. Collaborate on hybrid algorithms, incorporating physics and learned priors, denoisers, learned regularizers, and quality estimation. Help build tooling for rapid experimentation as well as rigorous verification of algorithm changes. What we’re looking for Strong applied ML experience plus comfort with signal processing / imaging or adjacent domains. Ability to move fluidly between research prototypes and production-quality systems. Strong evaluation discipline: metrics, ablations, data leakage avoidance, and reproducibility. A demonstrated track record of applying ML to physics-based or inverse problems (i.e., shipped projects, a portfolio, or publications.) Useful experience ML for imaging/inverse problems (or adjacent) with strong evaluation discipline and comfort with GPU performance constraints. Pragmatic production mindset: reproducible training/inference, regression testing, and safe deployment in high-stakes contexts. A background in computational physics or scientific computing. Leverage ML-based methods such as PiNNs and Neural Operators to solve partial differential equations arising in ultrasound simulation and imaging. Experience in Agentic-SciML is a plus. Hands-on experience with data curation for ML: building datasets from messy, real-world sources, defining ground truth, and managing labeling or simulation pipelines. Background in data assimilation: combining observations with physics-based models (Kalman filtering, variational methods, ensemble approaches, or learned variants).