Duties: Perform biostatistical analysis working with institute scientists, including generating quality control and data output reports, visualizations, and publication-quality graphics where appropriate; Critically evaluate experimental design and generate statistical analysis plans; Work independently and collaboratively with all levels of institute researchers, in a dynamic research environment to design and implement new immunological experiments; Participate in writing quarterly reports, progress reports, proposals, and journal articles; Keep informed of cutting-edge ideas, research, and technology, and apply them as appropriate
Requirements: Requires a degree in biostatistics, healthcare statistics, or other life science with a strong understanding of the principals of biostatistics, and 3 to 5 or years related experience or equivalent combination of education and experience post bachelor’s degree

Duties: Architect, design, enhance, and build next generation fraud detection solutions. You will support all the product engineering lanes of EOR, with their AI/ML initiatives; Drive the architecture for key cross team/cross product AI/ML projects (via architecture/design documents and developing code key modules); Collaborate with product stakeholders to formulate business problems as technical data-centric problems; Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code as needed; Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems
Requirements: 12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience; PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis; Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks

Duties: Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research; Work collaboratively with other research scientists to develop novel solutions and models in service of contextualized AI for augmented reality; Working on curation of large datasets across many modalities (e.g., vision, audio, IMU, sEMG); Leading experimental design, implementation, evaluation, and reporting results to enable new capabilities for multimodal LLMs
Requirements: PhD degree or equivalent experience in Computer Science, Mathematics, Engineering or a related field; Publication record in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields; 6+ years of experience in one or more of the following areas: Deep Learning, NLP, Multimodal, Computer Vision, Speech

Duties: Perform biostatistical analysis working with institute scientists, including generating quality control and data output reports, visualizations, and publication-quality graphics where appropriate; Critically evaluate experimental design and generate statistical analysis plans; Work independently and collaboratively with all levels of institute researchers, in a dynamic research environment to design and implement new immunological experiments; Participate in writing quarterly reports, progress reports, proposals, and journal articles; Keep informed of cutting-edge ideas, research, and technology, and apply them as appropriate
Requirements: Requires a degree in biostatistics, healthcare statistics, or other life science with a strong understanding of the principals of biostatistics, and 3 to 5 or years related experience or equivalent combination of education and experience post bachelor’s degree

Duties: The School of Engineering and Technology (SET) at the University of Washington Tacoma (UWT) is seeking to hire a postdoctoral fellow in bioinformatics. This full-time position is expected to work with biomedical collaborators to develop analytical workflows, methods and software tools to analyze biomedical data
Requirements: Completed PhD or foreign equivalent in computational or biomedical sciences; At least 1 year of research experience in bioinformatics or related disciplines; Proficient in programming such as Python, R, bash, or shell scripts; Experience writing and publishing manuscript(s) that report original research; Excellent written and oral communication skills required; Ability to work both independently and in collaboration with a team

Duties: Applications are invited for one or more non-tenure-track postdoctoral positions. The initial appointment is for a period of twelve months, full-time, with the possibility of renewal for a total period of up to three years, to begin in September 2023. Duties include engaging in ongoing and active independent research and teaching a full-time load of undergraduate and graduate courses. In particular, the job title will be “50% postdoctoral scholar, 50% teaching associate, ” to reflect these two components of the job
Requirements: Applicants are required to have a PhD, or foreign equivalent, by the starting date, and to be highly qualified to teach a full-time load of undergraduate and graduate courses while also engaging in ongoing and active independent research

Duties: Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions; Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc; Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc
Requirements: Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a massive plus; 5+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a massive plus; 3+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages; Strong understanding in software engineering best practices

Duties: Develop strategic AI initiatives at the foundation; Provide thoughtful business leadership and work collaboratively to develop and advance short and long-term goals, priorities, and strategies for the AI initiatives; Provide subject matter expertise, strategic counsel and operational insights to the AI and LLM efforts across the foundation; Establish trusted relationships with internal/external entities, such as academic institutions and industry, to drive discussions and provide strategic guidance related to their AI business objectives; Collaborate with topic experts, field partners, and in-country policy makers to build the right solutions to their most important problems
Requirements: PhD in machine learning, natural language processing, or computational linguistics, with 15 years of professional experience; Recognized as an expert within and outside of the organization in the field of artificial intelligence; Demonstrable strong ties to industry applications, including technology startups, established affiliate positions within corporation such as Microsoft Research, Nvidia, Amazon, or Google; Track record of scientific, peer-reviewed publications including publications in a top-tier ML/NLP conference (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML), and/or patented inventions; Strong ability to think of projects at the multi-year scale, while also engaging with rapidly moving projects and flexible explorations; Proficiency in writing code for DL/ML/AI applications, i.e., Python, PyTorch, Tensorflow, Java, JAX, etc

Duties: We are seeking a Machine Learning Engineer to join a innovative team that builds Generative BI features for QuickSight. You will play a critical role in developing ML systems that analyze large sets of data, extracts insights and make them available to our customers using Natural Language
Requirements: Bachelor's degree in computer science or equivalent; 3+ years of non-internship professional software development experience; 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience; Experience programming with at least one software programming language; Experience in machine learning, data mining, information retrieval, statistics or natural language processing

Duties: Conduct research to advance the state of the art in deep neural networks (e.g., increased context lengths, better attention mechanisms), image models, natural language processing, algorithms for private learning; Set your own research agenda and collaborate with other researchers and engineers, with the goal of achieving breakthroughs in the field; Build proof of concepts that can ultimately evolve for deployment in production for billions of users; Contribute to and apply research that advances Microsoft products
Requirements: PhD in computer science, mathematics, electrical engineering, or a closely related field

Duties: Develop long term strategy for scaling the routing and delivery optimization systems; Lead the team in model and algorithm development by taking business requirements and complex problem statements, and clearly defining data science/statistical projects; Develop and operationalize machine learning and science-based tools/models iteratively to support growing business use cases and complexity; Develop and deliver on key performance indicators for financial impact, customer impact, labor impact, and more
Requirements: 8+ years in routing, optimization, machine learning, data science, and/or engineering positions in top CPG, retail, or e-commerce organizations; 5+ years’ experience managing people and leading a team of leaders; An advanced degree (M.S., Ph.D., or equivalent experience) in Statistics, Applied Mathematics, Engineering, Computer Science, or related field

Duties: You will build advanced machine learning models (behavior segmentation, churn prediction, purchase propensity, recommendation engines, causal inference etc.) with impact spanning engineering, marketing, and finance; As you identify and explore opportunities for the application of machine learning, AI and predictive analysis, you will partner with teams across product, marketing, sales and engineering teams; You will work with engineers to architect and develop operational models that run at scale; You will communicate with technical and non-technical audiences, and contribute with your modeling expertise as a team player; You will tackle hard problems in innovative ways, drive self-directed initiatives, focusing on delivering the right results
Requirements: Bachelor's Degree in Statistics, Math, Computer Science, or related field and 2+ years related experience (e.g., statistical, predictive, classification, clustering models; machine learning; analysis in big data environment)

Duties: Developing personalized recommendation systems that help customers find the right CE products for their needs; Creating high quality educational content leveraging complex AI techniques to simplify complex product information; Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scale; Building AI Assistant tools that have cross-Amazon user adoption, with the potential to transform how employees across the company work
Requirements: Bachelor's degree in computer science or equivalent; 5+ years of non-internship, professional software development experience; 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; 5+ years of collaborating with, and influencing applied scientists and the broader science community within an organization

Duties: Improving data collection efficiency and accuracy in link-tracing designs (e.g. Respondent driven sampling); Partial graph data collection strategies for networks (e.g. Aggregated Relational Data); Large scale models for anomaly detection on graphs; Developing models to represent structure in networks using low dimensional manifolds; Modeling demographic and health trends in low-resource settings; Developing a decision-making framework for policy decisions based on predictions from statistical and machine learning models
Requirements: Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field