Custodian II-Housing and Residence Life-Part-time Georgia Institute of TechnologyCustodian II-Housing and Residence Life-Part-timeAtlanta, GA$17.30–$20.73 / hourOver the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good, breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. Perform routine housekeeping services as assigned, which normally include emptying of trash receptacles; dusting; spot cleaning; cleaning and disinfecting restrooms, medical and food service areas; restocking supplies, dust, damp or wet mopping; sweeping and vacuuming.
Instructor (Part-time), Professional Certificate Programs, CompTIA A+ Kennesaw State UniversityInstructor (Part-time), Professional Certificate Programs, CompTIA A+Kennesaw, GAAdditionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . Excellent interpersonal, initiative, teamwork, problem solving, independent judgment, organization, communication (verbal and written), time management, project management and presentation skills.
AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncAI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAWhat you"ll do: Develop and maintain high-fidelity functional model of AI/ML accelerator and its SoC subsystems, including compute engines, memory hierarchies, on-chip interconnects, and data paths - translating architecture specs and RTL behavior into accurate, testable C++ models. Collaborate with architects/micro-architects, RTL design engineers, ML SW engineers, and compiler engineers to evaluate architecture and microarchitecture tradeoffs and help make hardware design decisions.
Senior Manufacturing Test Development Engineer, Machine Learning Google LLCSenior Manufacturing Test Development Engineer, Machine LearningSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Senior AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncSenior AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAWhat you"ll do: Develop and maintain high-fidelity functional model of AI/ML accelerator and its SoC subsystems, including compute engines, memory hierarchies, on-chip interconnects, and data paths - translating architecture specs and RTL behavior into accurate, testable C++ models. Collaborate with architects/micro-architects, RTL design engineers, ML SW engineers, and compiler engineers to evaluate architecture and microarchitecture tradeoffs and help make hardware design decisions.
RTL Design Engineer, Machine Learning Accelerators Google LLCRTL Design Engineer, Machine Learning AcceleratorsSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing with key teams working on the development of our TPUs Vertex AI for Google Cloud Google Global Networking Data Center operations systems research and much more. Careers Skip navigation links home Home Homework_outlinework_outline Jobs noogler_hat Students google How we work handyman How we hire person_outline Your career help_outline Help link feedback Send feedback more_vert Help Send Feedback Sign in.
RTL Design Engineer, Machine Learning Google LLCRTL Design Engineer, Machine LearningSunnyvale, CAFrom software to hardware, our teams are shaping the future of world-leading hyperscale computing with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research and much more. Youll contribute to the innovation behind products loved by millions worldwide and leverage your design and verification expertise to verify complex digital designs with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
Senior Machine Learning Systems Engineer Reddit IncSenior Machine Learning Systems EngineerSan Francisco, CA$216,700–$303,400 / yearDeep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more. Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus.
Software Engineer, Machine Learning Platform Profluent IncSoftware Engineer, Machine Learning PlatformEmeryville, CA$200,000–$330,000 / yearFounded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date. The Machine Learning team at Profluent has two core objectives: (1) to train increasingly capable models as quickly and reliably as possible, and (2) to build scalable, intuitive systems and software around these models to accelerate protein design.
Machine Learning Software Engineer Intern - Winter 2027 People Center IncMachine Learning Software Engineer Intern - Winter 2027San Francisco, CAPassion to learn and develop your skills, both in machine learning and software engineering.\n \nAdditional Qualifications\n\n Experience with developing things that use large language models (LLMs) and familiarity with pre-training and fine-tuning techniques.\n \nEven if you don't meet all of the requirements listed here, we still encourage you to apply. As an Engineering Intern, you will join the Machine Learning Team in Winter 2027 (Middle of January-April) to develop robust, well-designed products, implement new updates and features, and solve complex problems that affect our business and our clients.
Senior Machine Learning Data Curation Engineer XPeng MotorsSenior Machine Learning Data Curation EngineerSanta Clara, CA$174,720–$295,680 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. Key Responsibilities: Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
Machine Learning/Operations Research Engineer Apple IncMachine Learning/Operations Research EngineerCupertino, CAMachine learning/operations research engineers on our team directly impact our factory throughput, supply chain strategies, and cost-reduction initiatives by transforming raw operational data into actionable, data-driven decisions. Production Optimization: Develop and implement mathematical models for optimization of capacity, yield, cycle times, costs, throughput, shop-floor layout usage, dynamic scheduling, and other factory and supply chain metrics.
Sr. Manager, Machine Learning Engineering-Applied Research Pinterest IncSr. Manager, Machine Learning Engineering-Applied ResearchSan Francisco, CARemote$227,871–$469,147 / yearCommunication & Credibility: Excellent communication skills with the ability to distill complex technical findings for leadership and product teams, backed by a strong track record of publications in machine learning, AI, data science, or related technical fields. What we are looking for: Technical Depth: 7+ years of combined post-graduate academic and industry experience applying state-of-the-art ML technologies to real-world problems on web-scale data, alongside 3+ years of direct people management experience.
Senior/Staff Computer Vision Engineer - Deep Learning Focus Phantom AISenior/Staff Computer Vision Engineer - Deep Learning FocusMountain View, CA$180,000–$240,000 / yearThe successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
Senior machine learning platform engineer, Evaluation & Privacy Apple IncSenior machine learning platform engineer, Evaluation & PrivacyCupertino, CASuccessful candidates will need a strong technical background and the ability to work effectively across a wide range of technologies - from device runtimes to large-scale distributed backends. Design, build, and operate the platform that supports privacy-preserving ML training and evaluation, including private federated learning systems that run across millions of user devices.
Senior Manager, Imaging Machine Learning Insitro IncSenior Manager, Imaging Machine LearningSouth San Francisco, CA$247,000–$262,000 / yearIn addition to working closely with the lab, you and your team will partner closely with our imaging software team, responsible for co-developing and scaling methods your team develops, and computational biologists who will subsequently leverage these tools to extract program-level insights in conjunction with omics (perturb-seq) and clinical insights. Our discovery strategy integrates insights from multiple phenotypic readouts across diverse high-content data modalities, including data from public and proprietary human cohorts and in vitro cellular systems generated by our proprietary, automated wet-lab platforms.
Software Engineer, Machine Learning Platform ProfluentSoftware Engineer, Machine Learning PlatformEmeryville, CA$200,000–$330,000 / yearFounded in 2022 and headquartered in Emeryville, CA, Profluent is backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures and has raised over $150M to date. The Machine Learning team at Profluent has two core objectives: (1) to train increasingly capable models as quickly and reliably as possible, and (2) to build scalable, intuitive systems and software around these models to accelerate protein design.
Staff Software Engineer, Generative AI, Core Machine Learning GoogleStaff Software Engineer, Generative AI, Core Machine LearningMountain View, CAWe're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. You will scale automated prompt optimization and trace scanning tools to systematically eliminate waste and solve the "GenAI engineering gap" for teams building production-ready agents.
Computer Vision Engineer Meta Platforms IncComputer Vision EngineerBurlingame, CAOwn end-to-end development of gesture recognition ML models from prototyping to production deployment on AR/VR devices Collaborate with cross-functional teams including research, hardware, product, and platform engineering to integrate models into shipping products Optimize ML models for on-device performance, balancing accuracy, latency, and power constraints Partner with Reality Labs Research (RL-R) to translate research breakthroughs into production-ready solutions Define technical direction and mentor engineers on ML productization best practicesBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or equivalent practical experience Experience shipping ML models to production Background in computer vision or machine learning, with focus on areas such as gesture recognition, pose estimation, or object tracking Experience with model optimization for edge/on-device deployment Track record of cross-functional collaboration to deliver ML-powered features Experience deploying ML models on edge devices Experience with gesture recognition, hand tracking, or human pose estimation Background in real-time inference, model compression, or quantization techniques 5+ years of industry experience in machine learning or computer vision MS or PhD in Computer Science, Machine Learning, Computer Vision, or related field Publication track record at conferences such as CVPR, NeurIPS, ECCV, ICCV, ICMLMeta builds technologies that help people connect, find communities, and grow businesses. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Senior Software Engineering, Machine Learning Operations TapestrySenior Software Engineering, Machine Learning OperationsMountain View, CaliforniaOriginally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.