Duties: Carry out research in the pre-defined areas; Disseminate results through scientific publications, especially Information Systems outlets; Communicate and work with stakeholders in government (ministries, regulators, government-run start up incubators) and companies in the financial services sector; Prepare research proposals to attract industry partnerships as well as national and European grant projects; Manage research projects and prepare project deliverables; Provide guidance to Master students and PhD students that submit work to Information Systems outlets
Requirements: A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines; Documented research expertise in the area of Software Engineering; Strong programming and analytical skills; Fluent written and verbal communication skills in English are mandatory; Publications in top tier conferences; Commitment, affinity for working in a group, and a critical mind

Duties: Du erstellst Software mittels Java unter Verwendung von Restful- Technologien, BPMN Prozessautomatisierung mit Camunda, Angular (Frontendentwicklung) u.v.m; In modernen Entwicklungsumgebungen arbeitest Du an integrativen Lösungen; Du bringst dich aktiv beim Design von Software und den zugrundeliegenden Prozessen ein; Durch aktive Mitarbeit lernst Du klassische und agile Projekt-Methoden kennen
Requirements: Studium der (Wirtschafts-)Informatik, Mathematik, Physik oder eines vergleichbaren Studiengangs; Erste Programmiererfahrungen in Java

Duties: Wir sind ein führendes, internationales Unternehmen, das auf Wirtschaftsprüfung, Buchhaltung, Steuer- und Beratungsdienstleistungen spezialisiert ist und sich zum Ziel gesetzt hat, die wirtschaftlichen Grundlagen für eine gerechte und prosperierende Welt zu schaffen
Requirements: Mazars posts regulary jobs at our sites. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Duties: In this role, you’ll work with the teams who are developing Large Language Models (LLMs) aka Generative AI for text. Our LLMs are a growing area of AI products including models and services, and we are committed to ensuring that they are used safely and responsibly. This key position will ensure the highest content safety possible by reducing exposure to inappropriate material, preventing bias and discrimination which is essential to protect both individual rights and to achieve the best quality of results including accuracy and completeness of information. By prioritizing safety and fairness, we can ensure that LLMs benefit everyone and contribute to a better future for all
Requirements: You have a Master’s or PhD in Computer Architecture, Computer Science, Electrical Engineering or related field or equivalent experience; Strong understanding of machine learning principles and algorithms; 8+ years of Work Experience in developing and deploying machine learning models in production

Duties: The Department of Mathematical Sciences at the University of the Virgin Islands (UVI) seeks to hire a full-time, tenure track professor at the Assistant level. We seek faculty who will inspire and mentor students at all levels while ensuring high academic standards in a nurturing and learner-centered environment in keeping with our HBCU status. The successful applicant will teach a wide range of undergraduate courses in Mathematics from foundations courses for those students who might not be ready for college level work through upper level courses for Mathematics majors
Requirements: PhD in any area of Mathematics, Mathematics Education, or a related field completed by August 2023

Duties: Analyse, Prüfung und Bewertung von Anforderungen und Spezifikationen im Hinblick auf Testbarkeit; Vorbereiten und/oder Anfordern von Testdaten; Konzeption, Erstellung und Durchführung von Software-, Schnittstellen- und E2E-Tests; Dokumentation, Analyse und Bewertung von Testergebnissen und Fehlern
Requirements: Sie bringen Erfahrung im Testbereich mit komplexen Geschäftsprozessen (vorzugsweise in der Versicherungs- bzw. Finanzdienstleistungsbranche) mit; Sie kennen sich im gesamten Softwarelebenszyklus aus und sind mit gängigen Testmethoden an Webanwendungen, Java Applikationen und technischen Schnittstellen vertraut; Mit Testmanagement Werkzeugen (HP-ALM/Jira Xray) gehen Sie sicher um; Sie besitzen analytische und konzeptionelle Fähigkeiten und sind motiviert sich in neue Aufgabengebiete und Themen einzuarbeiten; Idealerweise haben Sie ISTQB-Zertifizierungen erworben

Duties: Mit Methoden der Mathematik, Informatik und Statistik gewinnst Du Informationen aus grossen Datenmengen, die für Steadforce und unsere Kunden von Vorteil sein können; Du erkennst Muster und Zusammenhänge, leitest daraus Hypothesen ab, prüfst diese und stellst Deine Ergebnisse als Entscheidungsgrundlage vor; Du konzipierst und entwickelst End-to-End Data Science bzw. KI Lösungen für unsere Kunden aus verschiedenen Branchen; Als Senior Data Scientist nimmst du aktiv an der Planung und Entwicklung von Forschungsprototypen teil; Wo andere einen Datendschungel sehen, erkennst Du neue Geschäftsmodelle und Prozessoptimierungsansätze
Requirements: Du hast ein abgeschlossenes Studium in einem MINT Fach; Du bringst 2-5 Jahre Berufserfahrung mit oder hast im MINT Bereich eine Promotion; Du hast sehr gutes Know-how in der Statistik und idealerweise Erfahrungen mit linearer und quadratischer Optimierung; Du bringst gute Kenntnisse über verschiedene Machine Learning Verfahren mit; Du hast Erfahrungen in der Aufbereitung und Exploration von Daten sowie in der Konzeption und Implementierung von Daten Pipelines; Gute Kenntnisse des Python Data Science Stack zählen zu deinem technologischen Portfolio; Du hast fliessende Deutsch - und sehr gute Englischkenntnisse

Duties: Contribute and build the self-driving engineering foundations to develop the next generation autonomy software across several machine learning projects; Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale; Implement and improve machine learning training and inference pipelines; Make iterations on the models for improvements; Identify, propose and build infrastructure, data and computation pipelines, data storage strategies, common libraries and useful tools needed to optimize research and development of deep-learning models
Requirements: MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study; Solid coding proficiency in Python or C++; ​​- Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts; Experience in software architecture, system performance, latency and data flow; Experience in Machine Learning

Duties: Enhance and reinvent the next generation of risk (frequency, severity, LR) and pricing models, with strong emphasis on model robustness; Working with business partners, design and build AI-ML solutions in claims, underwriting (UW), customer behaviors use-cases; Build demand elasticity models, assess the impact on key business metrics of rate changes for different subpopulations, and make recommendations on path forward; Conduct post-hoc model diagnostics and build interpretability reasons using ML methods; Monitor and evaluate the performance of various models; detect and come up with mitigation strategies for addressing performance degradation
Requirements: Bachelor’s degree in a quantitative field (Data Science, Computer Science, Statistics or other related fields) is required. A M.S. in a quantitative field is preferred; 5+ years experience as a data scientist, or actuarial modeler, building and delivering pricing and risk modeling solutions in the P&C insurance space; 3+ years experience building claims models; Experience developing territorial risk models

Duties: Mit Methoden der Mathematik, Informatik und Statistik gewinnst Du Informationen aus grossen Datenmengen, die für Steadforce und unsere Kunden von Vorteil sein können; Du arbeitest in einem interdisziplinären Team mit Experten an der Entwicklung, Optimierung und Operationalisierung unserer Machine Learning Pipelines; Du konzipierst und entwickelst End-to-End Data Science bzw. KI Lösungen für unsere Kunden aus verschiedenen Branchen; Als Machine Learning Engineer nimmst Du aktiv an der Planung und Entwicklung von Forschungsprototypen teil und führst das Projekt in die Operationalisierung
Requirements: Du hast ein abgeschlossenes Studium in einem MINT Fach; Du bringst 2-5 Jahre Berufserfahrung mit oder hast im MINT Bereich promoviert; Du bringst gute Kenntnisse über verschiedene Machine Learning Verfahren mit; Du hast Erfahrungen in der Aufbereitung und Exploration von Daten sowie in der Konzeption und Implementierung von Daten Pipelines; Gute Kenntnisse des Python Data Science Stack zählen zu Deinem technologischen Portfolio; Du bist vertraut mit Modeltracking sowie der Entwicklung von APIs

Duties: Understand customer challenges and suggest them actionable insights with clear business benefit of the proposed solution; Work with large, complex data sets and applying advanced analytical methods as needed; Develop deployable machine learning solutions that address the real root cause; Interact with multiple stakeholders (from different levels) and effectively present findings by exploiting visual displays of complex quantity information in a simplified way; Be the partner of choice regarding technology advisory for advanced analytics
Requirements: Knowledge in advanced data analytics/data science; Have five years of relevant experience with data science/optimization/statistical models; Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Compute Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or related field

Duties: Report to the Director of Simulation; Lead the development and optimization of cutting edge computer vision algorithms and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows; Develop Reinforcement Learning from industry best practices and human preference-based data collection and evaluation system; Enhance User Feedback Analysis, collaborate with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback
Requirements: B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience; Coding experience in C++ or Python; Experience in at least one of: Computer Vision, Foundational Models, NLP, or Robotics; 5+ years hands-on of experience in computer vision and machine learning projects

Duties: This position is for a Lead ML Engineer with solid development experience who will focus on creating new capabilities for AI as a Service while maturing our code base and development processes. In this position, you are first a passionate and talented developer that can work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership, problem-solving abilities, coding, testing and debugging skills is just a start. You must be dedicated to filling product backlog and delivering production ready code. You must be willing to go beyond the routine and prepared to do a little bit of everything
Requirements: 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/MBA/JD/MD) or at least 3 years of work experience with a PhD

Duties: Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers; Take models currently in production, identify areas for improvement, improve them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics; Work with product and research teams to identify opportunities for improvement in our current product line and for enabling upcoming product lines; Work with massive datasets to develop both generic models as well as fine tune models for specific products
Requirements: Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization; Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment; Experience with generative AI models

Duties: Apply innovative machine learning and statistical analysis to develop models related to opportunity sizing, targeting, and optimization; Analyze user behavioral data to identify patterns, uncover opportunities, and build common understanding of how users are interacting with the service and content; Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually
Requirements: Bachelors or Master’s degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics); 5+ related experience with developing machine learning models and conducting statistical analysis; Deep understanding of machine learning concepts and statistical methods

Duties: We are seeking a highly motivated and talented Bioinformatics Scientist to join our growing team at Monoceros Bio. We partner with many small to midsize BioTech to accelerate drug discovery and development through innovative bioinformatic solutions. In this role, you will play a vital role in analyzing and interpreting next-generation sequencing (NGS) data, contributing to the success of our client projects from initial data exploration to actionable insights. We tackle client projects ranging from target identification through regulatory agency interactions and help them meet their internal demands and move their products and ideas forward. Candidates must have a proven track record of successfully managing and completing projects on their own, showcasing their ability to work independently while still contributing to the team’s overall objectives
Requirements: Ph.D. in Bioinformatics, Computational Biology, or related field with a strong biological background; A strong desire to contribute to improving human health through innovative bioinformatic solutions; Proficient in R and Python with experience in scientific computing libraries (e.g., Bioconductor, Scikit-learn); Solid understanding of NGS technologies

Duties: As a Lead ML/Data Learning Engineer Leader in the Data Engineering & Analytics team, you will develop data & analytics solutions that sit atop vast datasets gathered by retail stores, restaurants, banks, and other consumer-focused companies. The challenge will be to create high-performance algorithms, cutting-edge analytical techniques including machine learning and artificial intelligence, and intuitive workflows that allow our users to derive insights from big data that in turn drive their businesses. You will have the opportunity to create high-performance analytic solutions based on data sets measured in the billions of transactions and front-end visualizations to unleash the value of big data
Requirements: Experience leveraging open-source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform basic analyses; At least 10 years of relevant hands-on experience as a Data Engineer in an individual contributor capacity; At least 5 year leading collaborative work in complex engineering projects in an Agile setting e.g. Scrum

Duties: We are seeking a talented and experienced Machine Learning Engineer to join our innovative team. As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive data-driven decision-making and enhance our products and services. The challenge will be to dynamically deliver value in the near term while developing capabilities and process that lay the groundwork for the future. You will enable a frictionless customer and developer experience, exposing data components for direct to customer use or as components for new product constructs
Requirements: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Proven experience as a machine learning engineer, working on complex machine learning projects; Strong programming skills in languages like Python, R, or similar; Solid understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques; Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn

Duties: As a Sr. Software Engineer - ML you will be responsible for the relevance models (machine learning, search ranking, personalization, recommendations, etc), and the platforms/infrastructure they live on - ensuring the right content is surfaced to the right consumer across their discovery journey. You will collaborate with product, data science, and other engineers to formulate and implement solutions to various needs and requirements
Requirements: You have 6+ years of experience building software applications; You have strong experience in high-level languages such as Python, Kotlin; You have experience with ML at scale; You have experience working with Search Engines such as OpenSearch, ElasticSearch, Solr, etc; You have experience with one or more of Recommender Systems (Two Towers), Personalization, Search & Relevance (Learning To Rank), Embeddings, etc

Duties: Applies for grant support to novel lines of research in Bioinformatics; Creates new algorithms and mathematical models to solve problems in Genomics and NGS; Develops and guides the implementation of specialized software to solve Biological problems and support infrastructure development; Develops and guides the implementation of customized pipelines to solve recurrently appearing problems in Genomics and NGS; Trains and supervises junior scientists, Bioinformatics analysts and students providing collaborative assistance in various computing modalities to include but not limited to cloud experience
Requirements: Strong background in Computer Science, Statistics, Genomics, Genetics, RDBMS, Cloud Computing, Google APIs, Bioinformatics and Computational Biology required; Programming skills in languages such as C++ or/and JAVA, and experience programming in PERL or PYTHON; Expert level programming in statistical software such as SQL and R preferred; RDBMS preferred

Duties: Work closely with other domain experts to refine and execute Dolby’s technical strategy in artificial intelligence and machine learning; Use deep learning to create new solutions and enhance existing applications; Combine domain knowledge with state-of-the-art deep learning techniques that run on a wide range of computing platforms; Works with a general understanding of competitive technologies in the area of focus; Works to understand the system context in which new technologies will be used and the requirements that the technology must fulfill for success
Requirements: Ph.D. degree in electrical engineering, computer engineering, or computer science; Minimum of 3 years of experience in developing algorithms for machine learning and deep learning, computer vision, and vision-language model; Intimately familiar with computer graphics, video processing systems, as well as corresponding software in consumer and professional products

Duties: As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support government and military clients. As a machine learning engineer on our team, you’ll train, test, deploy, and maintain models that learn from data
Requirements: Bachelor's degree; 5+ years of experience with artificial intelligence data science, machine learning engineering, or data analytics; 2+ years of experience with implementing, testing, and fielding automation artificial intelligence and machine learning solutions; Experience with software and artificial intelligence projects

Duties: Amazon is looking for a passionate, talented, and inventive Sr. Machine Learning Engineer/Research Engineer with a strong machine learning background to help build industry-leading technology in generative AI and foundational models
Requirements: PhD, or Master's degree and 4+ years of machine learning or applied research experience; 4+ years of programming with at least one software programming language experience; 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience; 4+ years of non-internship professional software development experience

Duties: Support toxicology programs for multiple research programs in the Federal Government. Apply extensive expertise in bioinformatics and toxicology. Work independently and in collaboration with multidisciplinary teams to assist the Government in such analyses
Requirements: Master’s degree in Toxicology, Biostatistics, Bioinformatics, or Life Sciences; 10+ years of experience with leading a team; Experience with Next Generation Sequencing or microarray genotype data; Experience with multi-omics data analysis and biological data annotation, curation, and data mapping

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