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WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance for participants, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more to the firm. The Role: WorldQuant is seeking exceptional individuals to join as AI Researchers. In this full-time role, you will work in of Artificial Intelligence (AI) and Large Language Models (LLMs), applying techniques to develop quantitative models for WorldQuant’s BRAIN platform. As part of this role, you will: Conduct research in AI and LLMs, experimenting with advanced architectures such as Transformer models, Reinforcement Learning, and Generative AI. Design, train, and fine-tune LLMs and other AI models to extract insights, and generate signals Apply AI concepts to create and enhance alphas on the BRAIN platform. Analyze large-scale financial datasets to seek to uncover patterns and build models using statistical, mathematical, and machine learning techniques. Collaborate with platform development teams to design and test new functionalities and datasets. Stay updated on the latest advancements in AI and LLM research, identifying opportunities to integrate them into quantitative finance applications. What You’ll Bring: Technical Expertise: Strong knowledge and hands-on experience in AI, Machine Learning (ML), and LLMs; proficiency in Python and C++; familiarity with PyTorch or TensorFlow. Quantitative Skills: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial datasets is a plus. Educational Background: Bachelor’s or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or related fields from a leading university. Research Mindset: Creative problem solver with a passion for experimentation and unsolved challenges; strong interest in financial markets. Collaborative Skills: Ability to work in a team-oriented culture; excellent communication and presentation skills in English. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! Visithttps://www.worldquant.com/brain/ for more information about WorldQuant BRAIN. #LI-NV1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved.WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities. At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead. Your Team, Your Impact The Optical PHY (CE-OPHY) team designs high-speed and optical transceivers for communication infrastructure in long-haul, metro and datacenter. We address the bandwidth, capacity and power issues faced by cloud computing, mega data centers that powers the social media giant platforms. Our innovative approaches have resulted in the company’s products being first to market in many of key areas, developing the most advanced chips and subsystems solutions to address the ever-increasing demand of higher data rates driven by video-on demand, gaming and other real time data streams. We are seeking talented individuals to work on solving technical challenges with the most outstanding group of collaborators in the industry. Join our team of experts and make a difference in an exciting career opportunity. What You Can Expect Analog/Mixed-Signal IC Design Support the design and drive efficiency of analog blocks such as PLLs, regulators, buffers, and SERDES circuits.Use industry-standard tools (e.g., Spectre, Virtuoso, MATLAB, python) and assist in analyzing performance trade-offs.Drive processes to automate correlation of simulation results with silicon data in lab environments. AI Systems and Hardware-Aware Modeling Explore AI workflows and develop scripts/models that assist in IC calibration, prediction, or optimization.Contribute to prototyping and automation tasks involving Python, PyTorch, or other ML frameworks. System Integration Automation Participate in cross-functional work that brings together hardware, software, and algorithm layers. What We're Looking For Education Experience:Master’s degree and/or PhD in Electrical Engineering, Computer Engineering, Computer Science, with 5+ years experience in analog/mixed-signal IC design and demonstrated expertise in applying AI/ML techniques to engineering workflows. Technical Expertise: Hands-on experience in designing mixed-signal circuits such as ADCs, DACs, RX/TX, PLLs, filters, bandgap bias circuits, regulators, and other analog blocks.Knowledge of deep sub-micron CMOS technologies, low-power, and high-speed design techniques.Proven ability to integrate AI/ML methods into analog/mixed-signal design processes for optimization, modeling, or automation.Solid understanding of signal processing, control theory, and/or convex optimization.Experience with IC design CAD tools (Cadence, Spectre, SPICE, Verilog) and AI frameworks (PyTorch, TensorFlow). Software Scripting Skills: Proficiency in Python and MATLAB for scripting, data analysis, and visualization.Familiarity with AI workflows and experience developing scripts/models that assist in IC calibration, prediction, or optimization. Additional Skills: Excellent problem-solving and analytical skills.Strong communication skills and ability to collaborate across multidisciplinary teams.Lab testing experience for prototype evaluation and silicon correlation. Additional Compensation and Benefit Elements With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We’re dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it’s like to work at Marvell, visit our Careers page. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Interview Integrity To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews. These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process. This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.