Research Scientist Salary at University Of Washington Applied Physics Laboratory BETA

Responsible for independently evaluating, selecting and applying standardized scientific procedures and techniques; contributes to the planning, design, execution and interpretation of experiments; makes detailed observations, records data and assists in preparation of reports, papers presentations, and new proposals; presents results/papers at technical meetings; may participate in the guidance/mentoring of junior staff. Summary The Genomics and Spatial Biology Collaborative Laboratory (CoLab) at SCRI is seeking a highly organized, detail-oriented Research Scientist II with impeccable bench skills related to spatial omics & NGS/third generation library preparations and analyses. The ideal scientist will have hands-on experience with both spatial biology workflows and DNA/RNA library preparations, as well as basic bioinformatic data compilation, formatting, and analysis. The successful candidate will play an essential role in enabling cutting-edge pediatric research, assisting with cor

Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter. Our base salary range is $167,030 - $260,570 and in addition we have generous bonus plans to provide a competitive compensation package. Who We Are: We are a non-profit AI institute, focused on developing foundational AI research and innovation to deliver real-world impact through large-scale open models, data, and artifacts (e.g., OLMo, Tulu, Molmo). We unite the best and brightest scientific and engineering minds to explore the potential of truly open AI. Through our efforts, including the pioneering OLMo releases, we endeavor to empower academics, researchers, and AI developers more broadly to advance language models and generative AI models. Through close collabor

About Us: Read AI is a leading productivity AI company focused on helping individuals and businesses optimize their workflows across meetings, messages, and email. With seamless cross-platform integration with Microsoft Teams, Google Meet, Zoom, Slack, Hubspot, and Salesforce, Read AI revolutionizes how teams connect and collaborate by providing an AI copilot wherever they work.We're excited to share that we recently closed a $50 million Series B funding round, led by Smash Capital, with continued support from existing investors Madrona and Goodwater Capital. This new funding brings our total to $81 million, just six months after our Series A. We're just getting started, so if you're passionate about shipping early, often, and impacting millions, we'd love for you to join our growing team! The Role: As a Research Scientist at Read, your contributions will directly impact how we leverage the latest advances in machine learning and generative models, to make our users smarter. You will l

Scaled Foundations is an AI research and deployment company building general robot intelligence, and we are seeking a Research Scientist to join our team. We conduct focused research and engineering to build generalized robotics foundation models that work across form factors such as aerial, ground, manipulation, and others. We are looking for strong candidates who have a background in robotics and machine learning, with experience in areas like multimodal machine learning; synthetic data generation through simulation; LLMs; reinforcement learning and imitation learning for robotics; efficient training and inference. By applying to this role, you will be considered for multiple teams, such as simulation, foundation model research, and robot deployment. Research Scientist Responsibilities Independently implement state of the art multimodal machine learning models and techniques for robotics. Independently identify and execute on reasonable medium to large scale research ideas with many

The Health and Wellbeing Team at Meta is seeking a Hearing Scientist who will report to the Director of Health and Wellbeing Research and work alongside other members of the Health and Wellbeing team, aiming to improve health outcomes throughout the world. We seek someone with a drive to improve the lives of people with hearing impairments and a drive for innovation. This is an opportunity in hearing science to contribute through research to the developing Health and Wellness program and products at Meta. Hearing Research Scientist Responsibilities Be the domain expert in hearing science (psychoacoustics, auditory and speech perception) research, collaborating with other clinical research scientists, clinical operations, and biostatisticians. Contribute to the design and execution of research study protocols, for both internal and external studies with research organizations and vendors. Align operational aspects of research with the needs of other internal stakeholders including engin

Description Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. We are seeking a highly skilled and analytical Resesarch Scientist. You

Our Opportunity: Chewy is growing at a rapid pace. Our approach of thinking about our customers first and ability to move fast has created an opportunity to rethink and redesign our supply chain optimization frameworks from ground up. If the opportunity to create a best-in-class supply chain network, make a large business impact, and deliver large scale savings intrigue you, we will want to talk to you. Chewy's Supply Chain Research and Planning Team is seeking a Research Scientist III of a strong background in machine learning (ML) with experience in reinforcement learning (RL) to join the Supply Chain Replenishment Science team. You will be instrumental in driving the transformation towards ML-based replenishment models. The goal is to ensure adaptability to constant changes and complexity in our supply chain systems. This includes finding, constructing and deploying right models from the ground up to optimize our procurement strategies. Chewy's Supply Chain team operates in a fast-p

Description Inventory Planning and Control (IPC) science is seeking a passionate machine learning scientist working in one of its team locations (NYC, Austin or Bellevue) to build the next generation AI-driven decision making systems. IPC owns the core decision models in the space of Buying, Placement, Capacity Control and Planning. Our models decide when, where, and how much we should buy, flow, and hold inventories in our global fulfillment network to meet Amazons business goals and to make our customers happy. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars of world-wide for both our retail and selling partner business. Our systems are built entirely in-house and operate at various scales, from real-time decision system that completes thousands of transactions per seconds, to large scale distributed system that optimizes the inventory decisions over millions of products simultaneously. IPC is also unique in that we are simultaneou