Duties: Collaborate with researchers and data scientists to design sophisticated machine learning models; Implement and fine-tune neural network architectures, including transformer-based models; Optimize model performance, scalability, and efficiency; Conduct experiments to evaluate model performance, robustness, and generalization; Explore novel techniques and approaches to enhance model capabilities; Stay up to date with the latest advancements in NLP, deep learning, and AI research; Work with large-scale datasets, preprocess them, and create appropriate data representations; Select relevant features and ensure data quality for training and evaluation
Requirements: Total 8+ years of relevant experience; Depth in Data Science, Generative AI and Engineering; Background in machine learning, deep learning, and natural language processing; Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch) to develop production-grade quality product

Duties: We are hiring a Head of Data Science with broad experience and deep expertise in applying machine learning to real-world problems. You will develop and communicate hypotheses, analyses, results, ecosystem trends and ultimately innovative solutions to various stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program managers. As a part of Industry Solutions Engineering (ISE), at the AI Acceleration Studio we work closely with senior executives and cross-functional teams as we bring design, data science, and engineering to jointly develop cloud-based solutions that have high impact and can accelerate the organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more. We pride ourselves on making contributions to open source and making our platforms easier to use
Requirements: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

Duties: Conduct experiments to evaluate model performance, robustness, and generalization; Deploy trained models in production environments; Stay up to date with the latest advancements in NLP, deep learning, and AI research; Communicate technical findings and insights effectively; Collaborate with cross-functional teams, including researchers, software engineers, and product managers
Requirements: 5+ years of experience writing production quality code; Good understanding in machine learning, deep learning, natural language processing, generative AI and multimodal learning; Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion)

Duties: The Outlook Data and AI Platform Team is seeking a highly experienced engineer who is deeply passionate about crafting a data-driven evaluation framework. This framework will empower hyper agility in developing Generative AI scenarios throughout the Outlook ecosystem. This role represents a greenfield opportunity, where we collaborate with other Microsoft teams to explore and develop tools and techniques for the evaluation and analysis of Copilot features in Outlook. Many of these features yield probabilistic outcomes, necessitating a sophisticated approach to evaluation and analysis. This role is for someone who enjoys creating solutions that are not just new for the team, the company but for the entire industry. In this pivotal position, you will work closely with feature developers, product managers, data scientists, as well as Microsoft's Office of Applied Research and Substrate AI
Requirements: A minimum of 5 years of software development experience in building services and tools; At least 1 year of experience working with data, including defining and analyzing metrics and creating optimized data pipelines capable of handling substantial data volumes; Proficiency in at least one high-level programming language, such as C# or Python; Exceptional problem-solving abilities, critical thinking skills, and communication prowess

Duties: Vous ferez partie d’une équipe interdisciplinaire d’ingénieurs, de scientifiques de données et de chercheurs travaillant dans un environnement axé sur la recherche. ; Acquérir rapidement de nouvelles compétences et les appliquer selon les besoins, par exemple apprendre un nouvel algorithme d’apprentissage automatique à partir d’un document de recherche et le mettre en œuvre; Solides bases en génie logiciel, y compris le codage, les tests, la résolution de problèmes et l’analyse de données; Fournir un soutien de haute qualité à tous les chercheurs du laboratoire et à notre communauté d’utilisateurs. ; Créer et entretenir des relations techniques avec les équipes produits. 
Requirements: Baccalauréat en informatique, ingénierie, statistiques, mathématiques ou dans un domaine connexe et plus de 4 ans d’expérience en ingénierie technique avec le codage dans des langages comprenant, sans toutefois s’y limiter, C, C++, C#, Java, JavaScript ou Python

Duties: We are looking for a Senior Machine Learning Engineer with analytical and developer skills to join our team to develop industry leading machine learning solutions. Successful candidates will have several years of experience designing, training and tuning machine learning (ML) models and their supporting infrastructure. A large part of the role will be spent incubating new ideas with researchers and working with product team engineers and/or partners who leverage the research. As a result, candidates should be comfortable learning new approaches and pushing the boundaries of current conventions while applying sound engineering principles
Requirements: Bachelor's Degree in Computer Science, Engineering, Statistics, Mathematics, or related field; 4+ years experience in applying, implementing, and/or developing algorithms for machine learning, artificial intelligence, or statistics

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: Leading team of data scientists and ML researchers; Interfacing with HW architecture teams; Interfacing with SW framework teams; Driving model/HW codesign; Developing and analyzing novel NN architectures; Inventing novel data formats
Requirements: Proficient years of experience in ML research; Track record of leading high performance teams and delivering novel results in the field of ML; Hands on experience training and inference neural networks in frameworks such as Pytorch; Strong connections to leading academic labs; Outstanding communication skills

Duties: Work with huge volumes of data to solve real-world ML problems that are productionized into our platform to be consumed by downstream applications OR become product feature OR stand-alone products; Work with global teams with an opportunity to create phenomenal impact; Combine data sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across the enterprise; Demonstrate a product mindset and look to deliver re-usable components that can be deployed as or into ML services/productized solutions
Requirements: Masters/Bachelors degree in Computer Science, Mathematics, Statistics, Physics or related field with 6+ Years of industry experience. Focus on ML preferred. Ph.D. desirable

Duties: Spearhead research initiatives in Machine Learning and Generative AI that lay the groundwork for advancements across a wide range of scientific and technological domains; Collaborate and foster a culture of innovation with a team of world-class researchers and scientists to explore and solve fundamental problems in AI, with a focus on generating impactful, cross-disciplinary applications; Translate theoretical AI concepts into tangible solutions and methodologies that address complex issues within various fields of study and industry sectors
Requirements: An established background in Machine Learning and Generative AI, evidenced by a PhD in a relevant technical field or equivalent experience; A strong portfolio of Machine Learning research projects, demonstrating a history of impactful contributions

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)