Scientists and Physician Salary at Fred Hutchinson Cancer Research Center BETA

About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role You will be responsible for advancing molecular screening platforms, protein engineering, and data-driven discovery methodologies in the context of antibody discovery workflows. You will play a key role in driving innovation across multidisciplinary teams and ensuring high throughput and efficiency in discover

At Audible, we believe stories have the power to transform lives. It's why we work with some of the world's leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE In this role, you'll employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) techniques to detect and predict fraudulent activities, enhance fraud investigation capabilities, and develop advanced fraud protection and defense mechanisms. You'll leverage these technologies to analyze complex patterns in transaction data, identify anomalies, and create predictive models that can anticipate potential fraud before it occurs. Your work will be crucial in safeguarding the company's assets, protecting customers from financial harm, and maintaining the integrity of our systems

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

Description The Applied Scientist in NLP within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing conversational AI systems based on large pretrained language models, that can understand and communicate with customers in a natural and contextually appropriate manner. This involves tackling complex problems in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model. Key job responsibilities Key job responsibilities 1. Lead the research and development of LLM-based chatbots and conversational AI systems for customer service applications. 2. Design and implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment. 3. Collaborate with cross-functional teams, including data sc

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the Shipping Science Team: Want to help shape the future of global commerce? Work on developing new methods to drive high business impact. Join the eBay Shipping Science team. Here are some of the problems we are working on: Developing machine and deep learning techniques for delivery estimati

Description Amazon is looking for world class scientists to join its AWS Fundamental Research Team working within a variety of machine learning disciplines. This group is entrusted with developing core machine learning solutions for AWS services. At the AWS Fundamental Research Team you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions across different domains and computation platforms. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. This team is part of AWS Utility Computing: Utility Computing (UC) AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product inn

About Summation Summation is building the future of business planning and analytics by bridging the gap between data and decision-making. We empower organizations to transform complex data into clear, actionable insights that drive business outcomes. Our AI-native platform integrates advanced data models with intuitive workflows, making enterprise performance management simple, collaborative, and effective. The Role As an Applied Scientist at Summation, you will be at the forefront of developing and advancing AI-driven solutions for business planning and analytics. You will explore and build innovative models and methods to accelerate analytical workflows for our customers. This role is well-suited for a creative, hands-on problem solver who is passionate about transforming how organizations operate through practical AI applications. Key Responsibilities Rapid Prototyping: Develop prototypes to quickly test the feasibility of AI-driven solutions for business planning challenges, focusi