2nd Shift Machine Operator Bundy Baking Solutions2nd Shift Machine OperatorCrescent Township, PA$18–$19 / hourFounded by Russ Bundy 60 years ago, the company started by selling baking pans from the trunk of his car and has since grown into an international leader in baking solutions. Speaking of culture, be sure to check out the CREED section of our careers page: https://www.bundybakingsolutions.com/careers/
NewFood Manufacturing Machine Operator SMX, LLCFood Manufacturing Machine OperatorPittsburgh, PA$19.68–$20.86 / hourWith Staff Management | SMX, you'll get a weekly paycheck, learn new skills, meet new people, and work with a great management team in a clean and safe environment. The Staff Management | SMX team in Pittsburgh, PA, is currently seeking Machine Operator candidates to join the production team at Tandem Foods.
Research Data Scientist JouléResearch Data ScientistPittsburgh, PA$120,000 / yearOverview: Join a cutting-edge lab to discover novel therapeutics that is seeking a highly motivated Data Scientist to provide advanced analytical and computational support for complex research and data-driven initiatives. This role focuses on developing data analysis pipelines, statistical models, and machine learning approaches to support the integration, interpretation, and visualization of diverse datasets.
Infrastructure Engineer System OneInfrastructure EngineerPittsburgh, PASystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. Experience with Risk Assessments, Design Enterprise Architecture Framework, Machine Learning, and Customer Solutions.
Machine Learning Engineer, Reinforcement Learning Skild AIMachine Learning Engineer, Reinforcement LearningPittsburgh, PennsylvaniaWe are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
Machine Learning Engineer - Autonomy Lab Carnegie Mellon UniversityMachine Learning Engineer - Autonomy LabPittsburgh, PennsylvaniaMachine Learning: You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas.
Machine Learning Engineer III TeleTracking TechnologiesMachine Learning Engineer IIIPittsburgh, PennsylvaniaDesign, develop, and implement machine learning and deep learning models to address hospital-specific challenges such as patient flow optimization, resource allocation, bed management, and predictive analytics for patient outcomes. Collaborate with cross-functional teams including data scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions.
Senior Software Engineer - Scalable Machine Learning Latitude AI LLCSenior Software Engineer - Scalable Machine LearningPittsburgh, PA$179,200–$268,800 / yearWhen you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. What you''ll need to succeed: Bachelor''s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master''s degree and 2+ years of relevant experience, or PhD).
Senior / Staff Machine Learning Ops Engineer WaabiSenior / Staff Machine Learning Ops EngineerPittsburgh, PA$157,000–$234,000 / yearWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. Relevant MLOps certifications (e.g., AWS Certified Machine Learning - Specialty, DataRobot MLOps Certification) are a plus.
Machine Learning Engineer - Secure AI Lab Carnegie Mellon UniversityMachine Learning Engineer - Secure AI LabPittsburgh, PAThe Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
Director of Machine Learning Gather AIDirector of Machine LearningPittsburgh, PAWe've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world-class ML team.
Machine Learning Engineer - News, Books, and Stocks Team AppleMachine Learning Engineer - News, Books, and Stocks TeamPittsburgh, PARole Number:** 200660323-2926 **Summary** In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more!
Machine Learning Engineer Skild AIMachine Learning EngineerPittsburgh, PennsylvaniaWe are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
Staff Machine Learning Engineer - News, Books, and Stocks Team AppleStaff Machine Learning Engineer - News, Books, and Stocks TeamPittsburgh, PA
Machine Learning Engineer Lovelace AIMachine Learning EngineerPittsburgh, PennsylvaniaAndrew Moore , who has a track record of building impactful AI systems, designing them with human rights impact assessments as a top priority, leading the AI division of one of the world’s foremost cloud companies, and actively participating in machine learning and AI research over the past two decades. Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis.
Machine Learning Systems Engineer Motional IncMachine Learning Systems EngineerPittsburgh, PARemote$144,000–$192,000 / yearOur team is behind some of the industry''s largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world''s first robotaxi pilot, and operation of the world''s longest-standing public robotaxi fleet. We aren''t just developing driverless cars; we''re creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect.
AI / Machine Learning Engineer Q1 Technologies, IncAI / Machine Learning EngineerPittsburgh, PADesign, build, and deploy Machine Learning models for real-world business problems. Develop, integrate, and optimize Large Language Models (LLMs) for intelligent automation.
Junior Machine Learning Engineer-remote/Entry level Java SPring Boot Devops developer SynergisticITJunior Machine Learning Engineer-remote/Entry level Java SPring Boot Devops developerPittsburgh, PARemoteSynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers . Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds.
AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - US Prolific Academic LtdAI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - USPittsburgh, PAWe are inviting experienced professionals in AI / Machine Learning Engineer leadership roles to participate in upcoming research projects focused on workflow management tools and development processes. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback.
Machine Learning Engineer Sr System OneMachine Learning Engineer SrPittsburgh, PennsylvaniaContinuous support of models deployed to production applications - Release planning, coordination, and hands on support throughout release windows . Flex Skills/Nice to Have: - Experience in financial services - Azure AI Search / AI Agent Service / Document Intelligence / Content Safety .
Machine Learning Engineer - Secure AI Lab Carnegie Mellon University Software Engineering InstituteMachine Learning Engineer - Secure AI LabPittsburgh, PAThe Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
Senior Machine Learning Engineer - Secure AI Lab Carnegie Mellon UniversitySenior Machine Learning Engineer - Secure AI LabPittsburgh, PennsylvaniaThe Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.
Senior Machine Learning Research Scientist - SAIL Carnegie Mellon UniversitySenior Machine Learning Research Scientist - SAILPittsburgh, PAKnowledge and Experience Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred but not required A track record of conducting research and applying scientific methods to solve difficult problems Experience leading research projects in novel areas with limited previous work to build upon Ability to work with leadership to plan, develop, and deliver an overall research strategy Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson's terms Proficiency in writing funding proposals or pitching ideas for new research projects Ample experience with publishing written or technical artifacts showcasing your work Strong collaboration skills for working with colleagues and sponsors Willingness to guide and mentor junior team members Requirements A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience Willingness to work onsite at an SEI facility 5 days per week. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we build real-world, mission-scale AI capabilities through solving practical engineering problems discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working?
Senior Machine Learning Research Scientist - Secure AI Lab Carnegie Mellon UniversitySenior Machine Learning Research Scientist - Secure AI LabPittsburgh, PennsylvaniaThe Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas: Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn’t supposed to.
Principal Machine Learning Scientist Gather AIPrincipal Machine Learning ScientistPittsburgh, PAYou will work across the full ML lifecycle — from research and model architecture through training, deployment, and production monitoring — with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products. This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.
Senior Machine Learning Engineer - Mission Innovation Lab Carnegie Mellon UniversitySenior Machine Learning Engineer - Mission Innovation LabPittsburgh, PAAs our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we build real-world, mission-scale AI capabilities through solving practical engineering problems, discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities, prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities, identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape. The ideal candidate is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission-scale capabilities.
Machine Learning Scientist (Remote Allowed) Noma AiMachine Learning Scientist (Remote Allowed)Pittsburgh, PennsylvaniaRemoteNOMA is developing a novel AI platform for healthcare that leverages deep tech and machine learning to analyze multimodal medical data and help clinical teams proactively identify risks of medical complications. Our first product focus is on maternal hemorrhage and excessive bleeding of mothers that can happen during labor and delivery and continues to rank as a leading cause of maternal mortality and morbidity in the U.S.
Senior Machine Learning Ops Engineer Sheetz, IncSenior Machine Learning Ops EngineerPITTSBURGH, PennsylvaniaFull timeUtilize advanced experience with orchestration frameworks, CI/CD workflows, cloud platforms, and model observability and partner cross-functionally with Data Science, Engineering, and DevOps teams to productionize ML capabilities and continuously enhance the organization’s ML maturity. A Senior Machine Learning Ops Engineer at Sheetz ensures that AI models move seamlessly from “working on a laptop” to running reliably across our stores, applications, and systems at scale.
Staff Software Engineer - Machine Learning - Calibration Latitude AI LLCStaff Software Engineer - Machine Learning - CalibrationPittsburgh, PA$218,240–$327,360 / yearWhen you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. What you''ll need to succeed: Bachelor''s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience (or Master''s degree and 5+ years of relevant experience, or PhD and 2+ years of relevant experience).
Senior Machine Learning Research Scientist - SAIL Carnegie Mellon University Software Engineering InstituteSenior Machine Learning Research Scientist - SAILPittsburgh, PAKnowledge and Experience Comprehensive knowledge of machine learning; previous experience in adversarial machine learning preferred but not required A track record of conducting research and applying scientific methods to solve difficult problems Experience leading research projects in novel areas with limited previous work to build upon Ability to work with leadership to plan, develop, and deliver an overall research strategy Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson's terms Proficiency in writing funding proposals or pitching ideas for new research projects Ample experience with publishing written or technical artifacts showcasing your work Strong collaboration skills for working with colleagues and sponsors Willingness to guide and mentor junior team members Requirements A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience Willingness to work onsite at an SEI facility 5 days per week. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we build real-world, mission-scale AI capabilities through solving practical engineering problems discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working?
Senior Machine Learning Engineer - Mission Innovation Lab Carnegie Mellon University Software Engineering InstituteSenior Machine Learning Engineer - Mission Innovation LabPittsburgh, PAAs our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we build real-world, mission-scale AI capabilities through solving practical engineering problems. The ideal candidate is comfortable across the full stack (data pipelines, model development, API services, and secure deployment) and eager to explore novel AI and ML theory while delivering mission-scale capabilities.
Senior Software Engineer, Machine Learning Inference Platform Stack AVSenior Software Engineer, Machine Learning Inference PlatformPittsburgh, PennsylvaniaIf Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry.
Staff Software Engineer, Machine Learning Inference Platform Stack AVStaff Software Engineer, Machine Learning Inference PlatformPittsburgh, PennsylvaniaIf Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application. You will balance hands-on coding with long-term technical direction, operate across ML Platform, infrastructure, MLE, and external-facing API needs, and establish principled architecture for serving, control plane, observability, capacity, tenant isolation, system economics, and model-engine integration.
Senior Machine Learning Research Scientist - Frontier Lab Carnegie Mellon UniversitySenior Machine Learning Research Scientist - Frontier LabPittsburgh, PACommunity building (internal and external): Build a strong research culture through internal talks, reading groups, and workshops; and engage with external AI/ML communities (professional societies, consortiums, working groups, and conferences) to strengthen collaboration pathways and keep the lab connected to emerging practice. Technical leadership / Tech lead: Lead technical execution by defining technical tasking, sequencing work into realistic milestones, maintaining delivery quality, and delegating appropriately across the team.
entry level machine learning engineer-remote/Data Scientist/Engineer - Junior (Remote) SynergisticITentry level machine learning engineer-remote/Data Scientist/Engineer - Junior (Remote)Pittsburgh, PARemote$81,000–$150,000 / yearCurrently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k.
Senior Machine Learning Engineer - SAIL Carnegie Mellon UniversitySenior Machine Learning Engineer - SAILPittsburgh, PAKnowledge and Experience Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required A track record of using well-established engineering practices to solve difficult problems An understanding of how to convert research results into functioning prototypes or capabilities Experience leading technical projects in novel areas with limited previous work to build upon Strong written and verbal communication skills; able to convey complex technical ideas in a layperson's terms Ample experience with publishing written or technical artifacts showcasing your work Strong collaboration skills for working with colleagues and sponsors Willingness to guide and mentor junior team members Requirements A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we build real-world, mission-scale AI capabilities through solving practical engineering problems discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working?
Senior Machine Learning/GenAI Architect CGI IncSenior Machine Learning/GenAI ArchitectPittsburgh, PANTKN=c&clid=21001&Page=JobDetails&Jobid=J0726-0293&BRID=1313339〈=1 from 43.228.92.154 on July 03 2026, 00:37:11 UTC. If you are attempting to access this site using an anonymous Private/Proxy network, please disable that and try accessing site again.
Senior Machine Learning Research Scientist - Frontier Lab Carnegie Mellon University Software Engineering InstituteSenior Machine Learning Research Scientist - Frontier LabPittsburgh, PACommunity building (internal and external): Build a strong research culture through internal talks, reading groups, and workshops; and engage with external AI/ML communities (professional societies, consortiums, working groups, and conferences) to strengthen collaboration pathways and keep the lab connected to emerging practice. Technical leadership / Tech lead: Lead technical execution by defining technical tasking, sequencing work into realistic milestones, maintaining delivery quality, and delegating appropriately across the team.
Senior Machine Learning Engineer - SAIL Carnegie Mellon University Software Engineering InstituteSenior Machine Learning Engineer - SAILPittsburgh, PAKnowledge and Experience Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required A track record of using well-established engineering practices to solve difficult problems An understanding of how to convert research results into functioning prototypes or capabilities Experience leading technical projects in novel areas with limited previous work to build upon Strong written and verbal communication skills; able to convey complex technical ideas in a layperson's terms Ample experience with publishing written or technical artifacts showcasing your work Strong collaboration skills for working with colleagues and sponsors Willingness to guide and mentor junior team members Requirements A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in with five (5) years of experience. As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we build real-world, mission-scale AI capabilities through solving practical engineering problems discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape Are you creative, curious, energetic, collaborative, technology-focused, and hard-working?
Deep Learning Engineer II (Multiple Positions) (REF286216I) Robert Bosch GmbHDeep Learning Engineer II (Multiple Positions) (REF286216I)Pittsburgh, PAREQS: This position requires a masters degree or foreign equivalent in Information Technology, Electronic Engineering or a related field and 3 years of experience as a Deep Learning Engineer, Research Engineer or occupation involving design, development, and maintenance of deep learning pipelines for acoustic and vibration signals. Work on creating multimodal retrieval-augmented generation applications, combining multiple forms of data (e.g., text, images, audio) to enhance the system''s ability to generate relevant and contextually appropriate responses.
Machine Engineer - Autonomy Lab Carnegie Mellon UniversityMachine Engineer - Autonomy LabPittsburgh, PAYou have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas. • Machine Learning: You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations.
Machine Engineer - Autonomy Lab Carnegie Mellon University Software Engineering InstituteMachine Engineer - Autonomy LabPittsburgh, PAMachine Learning: You have profound understanding of machine learning principles and have experience in applying machine learning techniques to real-world problems, showcasing a track record of successful implementations. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or related areas.
Deep Learning Manipulation Engineer Skild AIDeep Learning Manipulation EngineerPittsburgh, PennsylvaniaWorking closely with our machine learning, robotics, and research teams, you’ll ensure these models are robust, efficient, and ready for real-world challenges. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society.
Lecturer, Machining - School of Technology - Steubenville (Term) Youngstown State UniversityLecturer, Machining - School of Technology - Steubenville (Term)Steubenville, OHMinimum Qualifications: At least an associate's degree in mechanical/manufacturing/industrial engineering technology or closely related field; minimum of two of these industry certifications or similar: NIMS, HAAS, FANUC, MASTERCAM, SOLIDWORKS; three or more years of industry experience in machining or related role; experience teaching machining (classroom or lab-based); and demonstrated proficiency in current industry technology in Manual and CNC Mill & Lathe; fluency in CAD/CAM software; and Microsoft Office Suite (or equivalent). YSU inspires individuals by cultivating a curiosity for life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development.
NewMachine Operator Altium Packaging LPMachine OperatorVerona, PAOperate blow-mold/PET/injection molding machines (including wheels, reciprocating or shuttle machines) to ensure production of quality bottles. The Machine Operator will operate blow-mold/PET/injection molding machines, grinders, trimmer machines, and conveyor systems.
Machine Apprentice Kurt J. Lesker Co LtdMachine ApprenticeJefferson Hills, PAYou will be enrolled in the NTMA Journeyman program and receive hands-on training in our machine shop, including setting up and operating CNC equipment to manufacture metal and non-metal parts used in KJLC products. Kurt J. Lesker Company is a global leader in vacuum technology and advanced manufacturing, supporting critical industries such as semiconductor, aerospace, medical, and optical.
Machine Apprentice Kurt J Lesker CompanyMachine ApprenticeJefferson Hills, PAFull timeYou will be enrolled in the NTMA Journeyman program and receive hands-on training in our machine shop, including setting up and operating CNC equipment to manufacture metal and non-metal parts used in KJLC products. Kurt J. Lesker Company is a global leader in vacuum technology and advanced manufacturing, supporting critical industries such as semiconductor, aerospace, medical, and optical.
Manual Machine Operator/Technician Synerfac Technical StaffingManual Machine Operator/TechnicianIrwin, PABy applying for this job, you agree to receive calls, Al-generated calls, text messages, or emails from Synerfac Technical Staffing and our contracted partners. Duties: - Set up, operate, and program CNC machines, with a strong focus on HAAS Lathes and Mills.
NewDish Machine Operator Firebirds Wood Fired GrillDish Machine OperatorBridgeville, PennsylvaniaExtensive training and development— we focus on building your knowledge during training and it doesn't stop there--continued education is a focus to make sure our team members are experts in their positions. We ensure that our team members receive extensive training and development, are continuously set up for success, and feel welcomed in our Firebirds family!
Warehouse Print Technician (Laser Machine Operator) 2nd Shift SIMOSWarehouse Print Technician (Laser Machine Operator) 2nd ShiftNew Kensington, PA$16 / hourPerks & Benefits: Casual Dress Code, Climate Controlled Environment, Modern, high tech Environment, Other on the spot perks, Paid Training, Weekly paychecks, Direct Deposit or Cash Card pay options, Medical / Dental Insurance, STD /LTD, Life Insurance, Paid Sick Leave, Paid Time Off, Advancement Opportunities. In this role, you will be working with two computer screens and machines that laser, print, and stamp designs on products utilizing a helix machine that usus CMYK digital inkjet methods.