Senior Lab Engineer Salary at Linkedin Corp BETA

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The Role As a Engineer in ML Integration and Qualit

Lab Overview: Bixby is an intelligent personal assistant which is only available as a built-in application on Samsung flagship devices and wearables. This application uses Natural Language Understanding to perform tasks on these devices using voice/ text, including but not limited to making phone calls, sending text messages, setting up meetings, opening apps, setting alarms and timers, getting directions, answering general questions, providing information about restaurants and other businesses, etc. Position Summary: We are seeking a highly skilled and motivated Applied ML Scientist with expertise in Generative AI to join our dynamic team. In this role, you will be responsible for developing innovative and practical AI applications for Samsung devices and services. Bixby Lab work on many high impact projects that serve various Samsung lines of business. We are at the forefront of using sophisticated machine learning techniques and mathematical models to tackle impactful business probl

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The Role As an AI Infrastructure Product Manager In

Lab Summary: Samsung AI Research Center (AIC) located in Mountain View, California, is currently recruiting outstanding scientists for the Language and Personal Intelligence lab. Our goal is to perform research and development with direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in on-device natural language intelligence. Position Summary: We are looking for highly skilled and motivated Researchers/Engineers to join our team and contribute to the development of our future natural language intelligence. Position Responsibilities: Conduct cutting-edge research and development of large foundation models (LLM, VLM, and Reasoning) for future, including model design, efficient model training, instruction tuning, prompt engineering, planning, action and related topics Collaborate with a multidisciplinary team of researchers, engineers, and domain experts to understand requirements, develop p

Lab summary: Our mission is to empower people to live healthier lives by leveraging our wearables, smartphones, medical devices, AI, and health services. We research, develop, and commercialize innovative digital health products and solutions by bringing together the full capabilities of our team, including product strategy and management, clinical expertise, partnerships, UI/UX design, usability research, clinical research and validation, software development, AI / Gen AI, and regulatory submissions. Millions of Samsung users' lives around the world have been touched by our products, including the Samsung HeartWise for cardiac rehabilitation and the Samsung ECG Monitor App. Samsung's unique advantage in the consumer electronics market and growing focus on Digital Health and AI / Gen AI provides exciting technical challenges and rewarding career experience. Join us! Position Summary: You will be responsible for building a next generation of clinical health platform to help Samsung and

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. About The Role The Core ML team at Cerebras is looking fo

Summary: Samsung AI Research Center (AIC) located in Mountain View, California, is currently recruiting outstanding scientists for the Language and Personal Intelligence lab. Our goal is to perform research and development with direct impact on future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence. Position Summary: As a Research Engineer, you will be at the forefront of creating state-of-the-art personalization features and on-device solutions using Large Language Models (LLMs). You will contribute to the development of novel AI-driven technologies that enhance user experiences, focusing on improving device personalization in areas such as smartphones, wearables, and other smart devices. Your work will help build systems that adapt intelligently to users' needs while maintaining privacy, efficiency, and usability. Position Responsibilities: Conduct groundbreak

As a HW Compliance Technical Program Manager within the Hardware Compliance Engineering organization, you will partner with an experienced cross-functional team across engineering, product management, operations and legal teams to drive the implementation of our compliance plan. You will have technical expertise in the compliance and certification processes and be responsible for overseeing wireless, safety, and industry compliance activities and process. This role involves coordinating with external certification bodies and testing laboratories to ensure Amazon products meet global compliance standards. Your contributions will span the entire product design lifecycle—from concept to sustaining. You will help ensure that the groundbreaking products we build are safe and compliant for global markets. You will anticipate bottlenecks, drive high velocity decisions, risk and escalation management, make data-driven tradeoffs, and balance customer and business needs versus technical constrai