3 Question Answering Jobs

As a Decision Scientist - Senior at FedEx, you will work with cross-functional and cross-regional teams to analyze data, monitor and forecast trends, create strategies, provide requirements to data scientists and technology teams, and communicate with global stakeholders to ensure the best possible customer experience. Joining the Customer Experience Analytics team as a skilled and passionate GenAI Prompt Engineer, you will focus on designing inputs for AI tools that generate optimal outputs and enhance customer experience through data-driven insights and innovative product development. Your main responsibilities will include designing and developing prompts for various applications, collaborating with cross-functional teams to understand user needs, analyzing and iterating on prompts based on performance metrics and user feedback, conducting experiments to test new prompting techniques, staying updated on advancements in natural language processing (NLP) and AI, documenting and communicating work clearly, providing actionable insights to business and leadership, enhancing virtual assistant interactions with customers, improving turnaround time on report development, and contributing to FedEx's digital adoption strategy. To qualify for this role, you should have a Bachelor's degree in computer science, linguistics, writing, or a related field, proficiency in programming languages like Python and experience with relevant libraries and frameworks, at least 2 years of experience in prompt engineering or a related role in the AI and Chatbots domain, strong analytical skills, experience with large datasets and data visualization tools, excellent communication and collaboration skills, ability to thrive in a fast-paced environment, and a minimum of 4+ years of relevant experience. FedEx values diversity, equity, and inclusion in the workforce, and is committed to providing growth opportunities for all individuals. As an equal opportunity/affirmative action employer, FedEx ensures fair treatment and a supportive work environment. The company's People-Service-Profit philosophy underscores the importance of its employees, who deliver exceptional service to customers worldwide. FedEx's culture, built on values and behaviors, has been integral to its success and growth since its inception in the early 1970s. Through a focus on innovation, quality service, and employee well-being, FedEx continues to thrive in the global marketplace.,

Join the leader in entertainment innovation and help design the future at Dolby. At Dolby, science meets art, and high tech goes beyond computer code. As a member of the Dolby team, you'll witness the impact of your work everywhere, from movie theaters to smartphones. Dolby continues to revolutionize how people create, deliver, and enjoy entertainment globally. To achieve this, Dolby seeks the best talent. With ample resources and a conducive environment, Dolby offers challenging projects, a collegial culture, excellent compensation, and benefits, along with a truly flexible Flex Work approach supporting your best work in terms of location, time, and method. Dolby's research division is seeking an AI researcher to contribute to the development of the next generation of AI-based multimodal technologies. As part of Dolby's research efforts, the candidate will collaborate with Dolby's renowned audio and vision experts to innovate new multimedia analysis, processing, and rendering technologies aimed at driving interactive and immersive experiences. Working within an international team, the senior Generative AI Researcher will explore novel horizons in multimodal analysis, processing, and generation. The responsibilities include conducting fundamental research, technology transfer to product groups, drafting patent applications, and publishing papers. The ideal candidate for this role should possess a strong background in deep learning, encompassing both conceptual understanding and practical experience. Staying updated with the latest literature and implementing cutting-edge techniques in generative models, self-supervised learning, and multi-modal learning are key aspects of the position. Experience or knowledge in the following areas would be beneficial: - Generative modeling for audio and video applications. - Multimodal semantic understanding and reasoning. - Multimodal representations including audio and/or video. - Multimodal AI architectures focusing on generating audio and/or video. - AI-driven enhancement, processing, and generation for audio and/or video applications. - Exposure to various audio and video applications. Collaborating closely with Dolby's Machine Perception and Reasoning team, the candidate will join a group of top-tier researchers working on challenging problems in multimodal AI for entertainment applications. The role involves creating and implementing multimodal AI technologies to develop new experiences and prototypes. The candidate will be responsible for prototyping immersive experiences that enhance immersion and interaction, thereby refining the user experience. Key Responsibilities: - Collaborate with domain experts to execute Dolby's technical strategy in artificial intelligence and machine learning. - Utilize deep learning to innovate new solutions and improve existing applications. - Drive the state-of-the-art and develop intellectual property. - Mentor interns on research problems. - Publish papers in top-tier conferences and journals. - Transfer technology to product groups and draft patent applications. - Advise internal leaders on recent advancements in deep learning to influence research direction and business decisions. Requirements: - Ph.D. in computer science or similar field with a focus on deep learning. - Experience in AI applied to audio and/or video. - Technical expertise in generative modeling for audio or video. - Strong publication record in top-tier conferences. - Proficiency in Python and deep learning frameworks like TensorFlow or PyTorch. - Ability to innovate new technologies and translate them into products. - Strong communication skills.,

As a NLP scientist at Miimansa, you will play a crucial role in developing and prototyping innovative methods for various natural language understanding tasks specifically focused on clinical texts. Your responsibilities will include actively contributing to research collaborations with academic NLP research groups, participating in NLU challenge tasks, and publishing research findings. The ideal candidate should possess a Bachelor's degree or higher in computer science or engineering with a specialization in language processing. However, exceptional individuals with a Bachelor's degree in CS accompanied by relevant experience will also be considered. Additionally, you should have a minimum of 2+ years of hands-on experience in NLP and related projects, although this requirement may be flexible for candidates holding a PhD. You are expected to have a solid understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering. Proficiency in NLP techniques for language modeling, text representation, and semantic extraction is essential. Moreover, a good grasp of current DNN architectures, training, and evaluation methods in NLP is required, along with the ability to adapt them to clinical/medical data and issues. To excel in this role, you should possess expertise in repository management, GPU utilization, and the capability to quickly set up NLP pipelines for testing new concepts. Familiarity with NLP literature, emerging trends, prominent conference venues, and code repositories is highly valued. Proficiency in Python programming and familiarity with libraries such as Huggingface, Spacy, and OpenAI API are also crucial for this position. Furthermore, you should be willing and capable of mentoring engineering teams within the company. Miimansa is dedicated to developing technology that enhances the progression of medical interventions and patient care. Our team combines extensive expertise in clinical data-management workflows, life sciences research, and AI to address critical bottlenecks in experimental medicine, facilitating the design of more manageable and lower-risk clinical trials for sponsors. We promote hybrid working arrangements (remote/in-person) and are committed to fostering a culture of collaborative learning and exploration. Join us at Miimansa for abundant opportunities for professional growth and development.,