and discover techniques for best leveraging data Publish papers; attend and speak at conferences Strategically direct research directions Minimum Qualifications: A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Publication track record More ❯
a programming language, Collaborative code development using version control software (e.g., GitHub), Kubernetes. Education: Bachelor's/undergraduate degree. Preferred Education: Master's or PhD degree with a background in Climate Science, Meteorology, Hydrology, Geophysics, Earth Sciences, Geology, Natural Resources, Geographic Information Systems, Applied Mathematics, Statistics, Engineering, or similar. About More ❯
skills/p/li/ul br p What You'll Bring/p p Currently enrolled in a university Master's or PhD degree program in Computer Research Science, Data Science, Statistics, Operations Research, or related field/p p/p p strong TECHNOLOGIES:/strong/ More ❯
help you grow. Work/Life Balance We promote flexibility and work-life harmony to enable your success both professionally and personally. BASIC QUALIFICATIONS PhD or Master's with 6+ years of applied research experience 5+ years experience with Python for building, training, and evaluating models 5+ years experience in More ❯
. Experience working with GPUs. Experience in a technical leadership role leading project teams and setting technical direction. Preferred qualifications: Master's degree or PhD in Engineering, Computer Science, or a related technical field. Experience with compiler optimization, code generation, and runtime systems for GPU architectures (OpenXLA, MLIR, Triton, etc. More ❯
high-level company vision and goals, and make sure these are reflected in ongoing product development. Requirements Technical Skills: With university qualification (Bachelors, Masters, Doctorate) who have completed at least two years of university study in Computer Science, Informatics, Data Science, Engineering, or related. 3+ years of large-scale commercial More ❯
stakeholders clearly and persuasively. Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science). Advanced degrees (e.g., MBA, Master's, PhD) are a plus. What We Offer Be part of a multicultural team that is bringing advertising to the next level. You will learn and evolve More ❯
advertising domain (predictive modeling (CTR/CVR), multi-objective optimization, auction dynamics and behavioral targeting) is a plus You have a Master’s or PhD in ML, statistics, or an engineering field with 10+ years of industry experience in machine learning, including at least 5 years in large-scale systems More ❯
working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of hands on experience with Python to build, train, and evaluate models More ❯
solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural More ❯
to internal and external stakeholders. Foster collaborations with academic and industry partners. Qualifications To be successful in this role, we imagine that you have: PhD in Computer Science, Bioinformatics, Computational Biology, Physics, or a related field, with professional hands-on experience with pretraining or finetuning foundation models for computer vision More ❯
level of effort, favoring iterative delivery that tackle the objective, not the ask Experience and qualifications: You have a Bachelor's, Master's or PhD degree in Mathematics, Science, Statistics or a related Technical field; or equivalent related professional experience in a role focused on analytics or data science (e.g. More ❯
/opportunities Perform post-trade analysis of strategies. Collaborating with quant developers to implement trading strategies and system features. Job Requirements: Master's, or PhD in mathematics, statistics, engineering, computer science, or related quantitative analytical field. 5+ profitable trading experience on a leading trading desk in a bank, proprietary trading More ❯
Reuters and our academic patterns at world-leading universities. About You You're a fit for the role if your background includes: Required Qualifications: PhD student or recent graduate with research experience in a technical discipline. First-author publications at relevant venues such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL More ❯
they are today. Prior experience in delivering B2B APIs, SDKs, and/or iOS/Android App products. Advanced degree (Masters and/or PhD) in Computer Science, Software Engineering, Mathematics, or a related technical field. Prior experience in software engineering, data engineering, or related technical field. What We Value More ❯
for large-scale data mining. Solid understanding of statistical foundations and mathematical modelling. Familiarity with cloud-based frameworks; Azure preferred. Advanced degree (MS/PhD) in Data Science, Computer Science, Statistics, Applied Math, or related field. Strong Points: Deep technical specialization in optimization, simulation, and applied math. Ability to translate More ❯
on proper Model Deployment infrastructure. Mentor and guide other Data Science team members. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP More ❯
Candidate Requirements: Applicants must have a proven track record delivering successful systematic quantitative strategies (equities, futures, digital assets). Advanced degree (Master’s or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Physics, Engineering, or similar. Strong knowledge in statistics and experience with machine learning, NLP, or More ❯
Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB More ❯
OR • Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR • PhD in Engineering, Information Systems, Computer Science, or related field. Expertise and technical skills: Advanced programming skills in MATLAB/Python are required; skill in other More ❯
Have: Experience in consulting or client-facing delivery roles Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps best practices Advanced degree (MSc or PhD) in a quantitative discipline Why Join Us? High-impact work with world-class clients Competitive salary and bonus structure Hybrid working model with central London More ❯
datasets and distributed computing tools such as Map/Reduce, Hadoop, Hive, Pig, etc. Advanced skills in Excel for analytical purposes. An MSc or PhD in Data Science, an analytical subject (Physics, Mathematics, Computing), or other quantitative disciplines would be advantageous. The position is based in Docklands, London. This is More ❯
Management: Develop and integrate risk management tools to monitor and mitigate potential risks in trading strategies. Qualifications Educational Background: Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline. Programming Skills: Expertise in C++: Strong proficiency in C++ (11/14/ More ❯
experience in a quantitative or ML-focused role Strong academic background in Physics, Mathematics, Computer Science, ML, or a related technical discipline (BS, MS, PhD, or Postdoc) Demonstrated strength in problem-solving, modeling, and research methodology Proficient in Python, C++, Java, or R Experience in a trading environment a plus More ❯
the opportunity to influence the architecture of next-generation financial systems while solving novel problems in machine learning and automated decision-making. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience More ❯
