Data Analyst & Intern Salary at Linkedin Corp BETA

**Company Description** The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70-billion-euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence (for example, human-assisted AI, natural language processing, robotics, 3D perception, and AI platform), energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed

**Company Description** The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalab

The ALS Research Manager plays a crucial role in facilitating and coordinating research activities of the ALS Network. This position involves managing the work of the Scientific Advisory Council (SAC) and organizing various aspects of ALS research projects, ensuring effective communication among researchers, and contributing to the overall success of the research initiatives aimed at understanding, treating, and ultimately finding treatments and cures for ALS. The ALS Research Manager will contribute significantly to the progress of ALS research and play a key role in the collaborative efforts of the ALS Network. To apply please send a resume and cover letter to: hr@alsnetwork.org Location Hybrid. Candidates must be located in Los Angeles or the Bay Area of California. Attributes Mission-oriented and willing to learn from and help others. Smart, compassionate, and service oriented individuals will be well-positioned for success. A good listener with strong communication skills who can

Our client is a biotech company focused on developing breakthrough therapies in Oncology. The Associate Director, Biostatistics will be a statistical expert supporting the clinical development of both early and late-stage programs The ideal candidate will have a strong background in oncology and substantial experience in Biostatistics within the biotech or pharmaceutical industry. This job will be hybrid on site in the client's San Francisco Bay Area office. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Represents Biostatistics as a member of cross functional teams, accountable for statistical aspects of statistical design, study setup, execution, analysis and reporting of clinicals Partner with Clinical Development, Regulatory, Pharmacovigilance, Quality Assurance, Commercial organizations on design and execution of clinical trials in the client's portfolio. Responsible for writing statistical analysis plans (including mockup TLFs) for indi

Description Amazons AGI Information is seeking an exceptional Applied Scientist to develop science advancements in the Amazon Knowledge Graph team (AKG). AKG is re-inventing knowledge graphs for the LLM-era, optimizing for LLM grounding and other LLM-based customer experiences. At the same time, AKG is innovating to utilize LLMs in the knowledge graph construction pipelines to overcome obstacles that traditional technologies could not overcome. As a member of the AKG Science team, you will have the opportunity to work on interesting cutting edge problems with immediate customer impact. The team is addressing challenges in automating gap detection, data ingestion, fact verification, query optimization and entity resolution. You will work with the entity resolution team to develop generic entity resolution models that work for every class of data in AKG (e.g., people, places, movies, etc.), that scale to hundreds of millions of entities, and that work incrementally. You will collaborate

Description We are seeking a motivated and talented Applied Scientist to join our team at Amazon AGI (Artificial General Intelligence), advancing the state of the art in AGI models and directly impacting the experience and engagement of customers interacting with Amazons products and services. Our team works on diverse projects spanning Large Language Models, Information Retrieval, Natural Language Understanding, and Engagement optimization. Key job responsibilities In this role you will: - Leverage Large Language Models (LLMs) and transformer-based models for improving Amazons end-user experience and launching new features. - Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience - Apply machine learning and natural language understanding techniques to improve our conversational interfaces and search algorithms - Run A/B experiments, evaluate the impact of your optimizations and communicate your results t

Description The Edge CV team under Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for various edge applications. Key job responsibilities As an Applied Scientist with the Edge CV team under AGI, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of CV technology. You will leverage Amazons heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in within perception domain. A day in the life An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of

Description Help re-invent how millions of people watch TV! Fire TV remains the #1 best-selling streaming media player in the US. Our goal is to be the global leader in delivering entertainment inside and outside the home, with the broadest selection of content, devices and experiences for customers. Our science team works at the intersection of Recommender Systems, Information Retrieval, Machine Learning and Natural Language Understanding. We leverage techniques from all these fields to create novel algorithms that allow our customers to engage with the right content at the right time. Our work directly contributes to making our devices delightful to use and indispensable for the household. Key job responsibilities - Drive new initiatives applying Machine Learning techniques to improve our recommendation, search and entity matching algorithms - Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience - Desi