Responsible for designing, developing, and deploying modular software architectures that mirror the complete physical additive manufacturing (AM) lifecycle from build preparation and real-time process monitoring to post-processing and quality assurance.
Compensation
Pay Range: Commensurate with education and experience
Responsibilities
Architect scalable data pipelines to ingest high-frequency multimodal sensor feeds (thermal, optical, acoustic)
Develop algorithms for in-situ anomaly detection
Build interface layers for machine controllers, PLCs, and multi-axis robotics
Integrate tools into an end-to-end digital twin platform supporting defense qualification and aerospace airworthiness certification
Requirements
Bachelor's Degree
Master's degree in Computer Science, Computer Engineering, Software Engineering, or related engineering discipline with a strong computing emphasis
As a Senior Data Scientist in AbbVie Business Technology Solutions (BTS), you will have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better.
Responsibilities
Discern whether a business problem needs a classical Machine Learning approach, a Generative AI, or Agentic solutions.
Apply structured frameworks like CRISP-DM or other approach to deliver value in a consistent, process driven way.
Develop processes and tools to monitor and analyze model performance and data accuracy and lead the advanced analytics framework through AI/ML.
Work with complex data sets (unstructured and structured data) to solve business use cases by establishing robust measurement frameworks and deliver business value with data-driven insights to senior leaders.
Perform data discovery and analysis to discover trends and patterns, meaningful insights and apply strong knowledge of data science for making informed decisions.
Monitor and explain P&L, performance and risk for Quantitative Strategies Portfolio Managers across global futures, FX, rates, equity index and commodities, engaging with them on a regular basis. Build quantitative models and analytics for performance attribution and risk analysis, working with large and diverse datasets.
Locations (2)
New York, New York, United States
London, England, United Kingdom
Compensation
The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.
Responsibilities
Monitor and explain P&L, performance and risk for Quantitative Strategies Portfolio Managers across global futures, FX, rates, equity index and commodities
Build quantitative models and analytics for performance attribution and risk analysis
Research and implement new risk methodologies and techniques to represent and monitor systematic strategies
Develop and refine simulation models for risk measurement, such as VaR enhancements, scenario analysis and factor modeling
Design and enhance pricing models and visualization tools that make risk and performance transparent to Portfolio Managers and the broader Risk team
STAGE – Online Test Time Adaptation Speech Enhancement (H/F)
Mettre en place une approche d’adaptation dynamique non-supervisée sur de nouvelles données arrivant continuellement sur le terrain dans la phase d’exploitation de l’algorithme, en se concentrant sur la restauration de la qualité de la voix.
Responsibilities
Travailler en collaboration avec l'équipe de recherche : doctorants et chercheurs expérimentés
Comprendre la problématique métier et mise en place d'un protocole expérimental et d’une implémentation académique pour la recherche ouverte
Prise en main de différentes méthodes état de l’art en rehaussement de la voix
Développement en python d’une ou plusieurs méthodes innovantes pour pallier la problématique d’apprentissage continu pour compenser le domain shift entre les données d’entraînement initial et les données rencontrées lors de l'inférence
Dimensionner la solution pour être cohérente de la contrainte de frugalité en termes de données, d’annotations et de ressources de calcul disponibles sur le terrain
Requirements
Etudiant en M2, en Ecole d’ingénieur en IA, Maths appliquées ou informatique
Partner closely with computational and medicinal chemists on Discovery Chemistry project teams to address challenging structure-activity relationships and multi-parameter optimization
Develop and deploy specialized informatics workflows for non-traditional modalities (cyclic peptides, macrocycles) and DNA-Encoded Library platforms, including combinatorial enumeration, selection data triage, and hit prioritization
Design, validate, and implement scalable cheminformatics and machine learning pipelines for predictive property modeling, virtual screening, and chemical library triage
Establish robust, automated computational tools and data pipelines that bridge internal chemical data platforms and modern modeling frameworks
Maintain an active external scientific presence through publications, conference presentations, and community engagement, while mentoring junior staff, interns, and co-ops
Requirements
Ph.D. in Cheminformatics, Computational Chemistry, Chemistry, Computer Science, Bioinformatics, or a related quantitative discipline
M.S. degree with 4+ years of relevant industry/research experience
Nice to have: computational design of cyclic peptides
Nice to have: macrocycles
Developing a Multi-Criteria Sustainability Assessment Tool for Mobile Networks F/H
Develop, implement and validate a prototype of the Network Design-to-Impact (NDI) tool to support analysts and strategic decision makers in managing multi-stakeholder indicators and assessing network performance against sustainability criteria.
Responsibilities
Build core computational modules for the NDI methodology (Stakeholder & indicator module, Candidate solution builder, Evaluation scenario configurator, Sustainability assessment engine, Technical performance module, Acceptability test engine, Termination & iteration control, Mitigation/modification assistant, Decision support & visualization, Sensitivity analysis module)
Internally test the prototype on at least one synthetic dataset
Requirements
MSc student
engineering school student (grande école, 5th year)
Partner closely with computational and medicinal chemists on Discovery Chemistry project teams to address challenging structure-activity relationships and multi-parameter optimization
Develop and deploy specialized informatics workflows for non-traditional modalities (cyclic peptides, macrocycles) and DNA-Encoded Library platforms, including combinatorial enumeration, selection data triage, and hit prioritization
Design, validate, and implement scalable cheminformatics and machine learning pipelines for predictive property modeling, virtual screening, and chemical library triage
STAGE – Online Test Time Adaptation Speech Enhancement (H/F)
Stage de recherche en adaptation dynamique non-supervisée pour l’amélioration de la voix en temps réel.
Compensation
Tous nos stages sont conventionnés et soumis à une gratification dont le montant est déterminé selon votre niveau d’études.
Responsibilities
Travailler en collaboration avec l'équipe de recherche : doctorants et chercheurs expérimentés
Comprendre la problématique métier et mettre en place un protocole expérimental et une implémentation académique pour la recherche ouverte
Prise en main de différentes méthodes d’état de l’art en rehaussement de la voix
Développement en python d’une ou plusieurs méthodes innovantes pour pallier la problématique d’apprentissage continu
Dimensionner la solution pour être cohérente avec la contrainte de frugalité en termes de données, d’annotations et de ressources de calcul disponibles sur le terrain
Lead and own complex technical work associated with pipeline hydraulic modeling and simulation projects, integrating models with SCADA and other systems, and providing technical guidance and mentoring to junior engineers.
Responsibilities
Apply intensive and diversified knowledge of engineering principles and practices in broad areas of assignments and related fields
Participate in customer meetings, requirements gathering, technical workshops, software demonstrations, and pre-sales activities
Independently lead or own complex technical work associated with pipeline hydraulic modeling and simulation projects
Develop, configure, validate, and tune steady-state and transient hydraulic models of liquid and gas pipeline systems
Analyze complex pipeline operating conditions and use engineering judgment to identify, evaluate, and recommend technical solutions
Requirements
BS in Civil, Chemical, Mechanical or Petroleum Engineering
Nice to have: Synergi Pipeline Simulation Software (SPS)
Establish robust, automated computational tools and data pipelines that bridge internal chemical data platforms and modern modeling frameworks
Maintain an active external scientific presence through publications, conference presentations, and community engagement, while mentoring junior staff, interns, and co-ops
Requirements
Ph.D. in Cheminformatics, Computational Chemistry, Chemistry, Computer Science, Bioinformatics, or a related quantitative discipline
M.S. degree with 4+ years of relevant industry/research experience
Nice to have: computational design of cyclic peptides, macrocycles, or non-canonical peptide representations
Software EngineerNewUniversity of Oklahoma · Norman, US
Quant Risk ResearcherNewMillennium · New York, US+1 more
Developing a Multi-Criteria Sustainability Assessment Tool for Mobile Networks F/HNewOrange Business · Châtillon, France
Senior Scientist, CheminformaticsNewMerck · Rahway, US+2 more
STAGE – Online Test Time Adaptation Speech Enhancement (H/F)NewThales · Palaiseau, France
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Quant Developer - Wealth Management (m/f/x)NewScalable Capital GmbH · Berlin, Germany