Warehouse Coordinator II T.D. Williamson IncWarehouse Coordinator IITulsa, OKResponsible for receiving incoming goods, preparing outbound freight, ensuring quality control processes are performed, managing inventory in an organized, optimal and efficient way as well as the transportation of materials and products in a safe manner using varying methods of product moving equipment including but not limited to forklifts, cranes and pallet jacks. Coordinate inbound and outbound freight and safely transport material and components in a timely manner to required work centers as well as completed manufacturing jobs to the warehouse using varying methods of transportation including but not limited to forklifts, cranes and pallet jacks.
Assistant Store Manager Genuine Parts CompanyAssistant Store ManagerClaremore, OklahomaThe Assistant Store Manager uses their automotive, customer service, operational and leadership expertise with all customers and team members to successfully operate our NAPA retail store and lead NAPA to be the dominant parts supplier in the market. Monitor and act on core store metrics (sales, inventory accuracy/turn, customer satisfaction, cleanliness/organization, labor efficiency, loss prevention) by uncovering trends and problem solving for solutions.
Shipping Production Leader AAONShipping Production LeaderTulsa, OKCoordinates and oversees the daily shipping and receiving operations, ensuring that shipments are accurately processed, packaged, and prepared for transportation. Collaborates with internal departments, including procurement, warehouse, and customer service, to ensure seamless coordination of orders and shipments.
Shipping Office Assistant Sofidel SpAShipping Office AssistantInola, OKAs an SOA you will be responsible for processing outbound delivery paperwork from the warehouse, and verifying shipping information is scanned and filed in the system, while complying with instructions and prescribed routines, methods or procedures and involving minor decision making. Other responsibilities include monitoring and replying to emails in a timely manner, scanning and filing paperwork, printing orders for the next day, and communicating issues to the appropriate department / or supervisor.
Software Engineer (6+ years) Continuum Resource NetworkSoftware Engineer (6+ years)San Diego, CAThe ideal candidate is an experienced software engineer with a strong Python and machine learning background, hands-on experience building AI applications, and a practical understanding of how to balance model accuracy, latency, cost, and user experience. You’ll evaluate and integrate large language models, build Retrieval-Augmented Generation systems, and partner with cross-functional teams to deliver scalable, reliable AI solutions.
Machine Learning Engineer - College Graduate Qualcomm IncMachine Learning Engineer - College GraduateSan Diego, CA$122,800–$184,200 / yearQUALCOMM, as the world''s leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields.
Senior Data Engineer (Remote) Military, Veterans and Diverse Job SeekersSenior Data Engineer (Remote)San Diego, CaliforniaRemoteThey are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy. Five years of experience working in data engineering or architecture role, Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred).
Staff Software Engineer, Applications Brain CorpStaff Software Engineer, ApplicationsSan Diego, CA$187,182–$201,221 / yearEssential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more.
Machine Learning Engineer, Software QA - Creativity Apps Apple IncMachine Learning Engineer, Software QA - Creativity AppsSan Diego, CAWe're looking for an engineer to take projects from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are integrated into our Apps clients through rigorous testing methodologies. Bachelors degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience.
Embedded Software Engineer III Innoflight LLCEmbedded Software Engineer IIISan Diego, CA$125,000–$150,000 / yearThis position involves creating real-time system monitoring and power management software, preparing Linux board support packages for customer flight applications, and working with a variety of embedded systems, sensors, communication buses, radios, and communications security (COMSEC) equipment. Implement Secure Communications: Develop networking and cryptographic functionality (e.g., IP, TLS, IPsec, AES, RSA, ECDSA) and interface with buses and protocols like SPI, I2C, UART, PCIe, SpaceWire, and Ethernet.
NewSenior Machine Learning Engineer Murata Electronics North America, Inc.Senior Machine Learning EngineerSan Diego, CAThe breakthroughs we're making today are shaping the smarter, safer, and more accurate sensors - and wherever accuracy matters, you'll find Sensoride at the center. Bridge theory and practice by translating research outcomes into scalable, real-world applicable algorithms.
Machine Learning Engineer Platform - iCloud Mail Intelligence Apple IncMachine Learning Engineer Platform - iCloud Mail IntelligenceSan Diego, CAExperience with agent-based architectures, orchestration frameworks, and LLM observability and evaluation tooling Expertise with LLMs, including fine-tuning, prompt engineering, embeddings, retrieval systems, evaluation, and integration into production systems. In this highly transparent position, the successful candidate will enhance existing mail systems while collaborating with multi-functional engineering teams, and also implement new customized mail experiences, in addition to preventing abuse of the system.
Senior Machine Learning Engineer SeasatsSenior Machine Learning EngineerSan Diego, CA$180,000–$250,000 / yearTrack record of shipping performant ML models to edge devices and hands-on experience with model optimization for the edge (quantization, pruning, and inference runtimes such as TensorRT or ONNX Runtime). This is an excellent opportunity to do high impact work, see your models running live on vehicles at sea, and join a fun and hard-working team on the cutting edge of ocean autonomy.
#Senior Embedded Software Engineer, Cloud Edge and Data Center Machine Learning Qualcomm Inc#Senior Embedded Software Engineer, Cloud Edge and Data Center Machine LearningSan Diego, CA$111,300–$166,900 / yearThe candidate should have a background in embedded software development such as board support packages (BSP), device driver development, RTOS, secure boot, TrustZone technology, low-speed peripheral interfaces (I2C/SPI/UART), chipset power blocks, clock tree management, PCIe and efficient data movement using DMA. Qualcomm's new Data Center Business Unit (BU) is looking for an experienced Senior Software Engineer to contribute to the design, development, and commercialization of software/firmware solutions for Cloud Edge and Data Center machine learning (ML) use cases running on premium-tier high-performance silicon.
Principal Machine Learning Engineer AppFolio, IncPrincipal Machine Learning EngineerSan Diego, CA$264,000–$330,000 / yearAt its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. Who We Are Looking For We're seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real Estate Performance Management (RPM) platform — autonomous AI agents that can deliver property management performance.
Machine Learning Engineer II General AtomicsMachine Learning Engineer IIPoway, CAIn product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy. Technical expertise in the application of engineering principles, concepts, theory, and practice as well as project management and leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones.
Machine Learning Engineer III The Marlin AllianceMachine Learning Engineer IIISan Diego, CA$140,000–$195,000 / yearPosition Overview The Machine Learning Engineer III designs and implements sophisticated models and algorithms tailored for naval applications, leveraging expertise in modern machine learning methods and cloud-native development. Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
Principal Machine Learning Engineer AppFolioPrincipal Machine Learning EngineerSan Diego, CA$264,000–$330,000 / yearAt its core, Realm-X is built on a structured domain ontology and a set of shared business primitives-such as transactions, actions, reports, metrics, and skills-that enable AI systems to deeply understand and operate across the full context of property management workflows. We're seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X, and to drive AppFolio's long-term autonomous Real Estate Performance Management (RPM) platform - autonomous AI agents that can deliver property management performance.
Machine Learning Engineer IV General AtomicsMachine Learning Engineer IVPoway, CADUTIES AND RESPONSIBILITIES: Generative AI Development: Lead the design, development, and deployment of integrated custom solutions that leverage generative AI models using various design patterns including Prompting & Context Management, Responsible AI, RAG, Agentic & Multi-Agent workflows, and AI for data analytics. Must be customer focused and possess: the ability to identify and analyze issues and develop solutions to complex problems; strong analytical, verbal and written communication skills to accurately document, report, and present findings; strong interpersonal skill to interface with all levels of employees, management and external contacts; and.
Machine Learning Engineer III General AtomicsMachine Learning Engineer IIIPoway, CATypically requires a bachelors, masters degree or PhD in computer science, engineering, mathematics, or a related technical discipline from an accredited institution and progressive machine learning engineering experience as follows; five or more years of experience with a bachelors degree or three or more years of experience with a masters degree. In product/systems improvement projects, uses machine language and statistical modeling techniques to include but not limited to decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy.